Computer und IT
Beginning T-SQL
Get a performance-oriented introduction to the T-SQL language underlying the Microsoft SQL Server and Azure SQL database engines. This fourth edition is updated to include SQL Notebooks as well as up-to-date syntax and features for T-SQL on-premises and in the Azure cloud. Exercises and examples now include the WideWorldImporters database, the newest sample database from Microsoft for SQL Server. Also new in this edition is coverage of JSON from T-SQL, news about performance enhancements called Intelligent Query Processing, and an appendix on running SQL Server in a container on macOS or Linux.BEGINNING T-SQL starts you on the path to mastering T-SQL with an emphasis on best practices. Using the sound coding techniques taught in this book will lead to excellent performance in the queries that you write in your daily work. Important techniques such as windowing functions are covered to help you write fast-executing queries that solve real business problems.The book begins with an introduction to databases, normalization, and to setting up your learning environment. You will learn about the tools you need to use such as SQL Server Management Studio, Azure Data Studio, and SQL Notebooks. Each subsequent chapter teaches an aspect of T-SQL, building on the skills learned in previous chapters. Exercises in most chapters provide an opportunity for the hands-on practice that leads to true learning and distinguishes the competent professional.A stand-out feature in this book is that most chapters end with a Thinking About Performance section. These sections cover aspects of query performance relative to the content just presented, including the new Intelligent Query Processing features that make queries faster without changing code. They will help you avoid beginner mistakes by knowing about and thinking about performance from day 1.WHAT YOU WILL LEARN* Install a sandboxed SQL Server instance for learning* Understand how relational databases are designed* Create objects such as tables and stored procedures* Query a SQL Server table * Filter and order the results of a query* Query and work with specialized data types such as XML and JSON* Apply modern features such as window functions* Choose correct techniques so that your queries perform wellWHO THIS BOOK IS FORAnyone who wants to learn T-SQL from the beginning or improve their T-SQL skills; those who need T-SQL as an additional skill; and those who write queries such as application developers, database administrators, business intelligence developers, and data scientists. The book is also helpful for anyone who must retrieve data from a SQL Server database.KATHI KELLENBERGER is an editor and DevOps advocate at Redgate Software and a Microsoft Data Platform MVP. She has been working with SQL Server for over 20 years, starting with version 6.5. She has worked as a developer, database administrator, and consultant. Kathi has been involved with almost 20 book projects as an author, co-author, or technical editor, and enjoys presenting at events, webinars, and user groups. When not working, she teaches T-SQL to beginners at a non-profit in St. Louis, Missouri that helps people transition to tech careers.LEE EVEREST is a SQL Server developer who has worked with the product since version 6.5. He has taught part-time at Dallas College North Lake Campus for 18 years, and has had several students move on to companies such as Microsoft, filling roles from support engineer to data scientist to vice president. When Lee isn’t working, he enjoys computers, golf, and fishing.1. Getting Started2. Exploring Database Concepts3. Writing Simple SELECT Queries4. Using Built-In Functions and Expressions5. Joining Tables6. Building on Subqueries, Common Table Expressions, and Unions7. Grouping and Summarizing Data8. Discovering Windowing Functions9. Advanced WHERE Clauses10. Manipulating Data11. Managing Transactions12. Understanding T-SQL Programming Logic13. Implementing Logic in the Database14. Expanding on Data Type Concepts15. Working with XML and JSON16. Writing Advanced Queries17. Where to Go Next?Appendix A: SQL Server for Linux and macOSAppendix B: Using SSMSAppendix C: SQL Notebooks
Spring Cloud Data Flow
Work with big data applications by using Spring Cloud Data Flow as a unified, distributed, and extensible system for data ingestion and integration, real-time analytics and data processing pipelines, batch processing, and data export. With this book you will develop a foundation for creating applications that use real-time data streaming by combining different technologies and use the full power of Spring Cloud Data Flow.The first part of Spring Cloud Data Flow introduces the concepts you will need in the rest of the book. It begins with an overview of the cloud, microservices, and big data, before moving on to the Spring projects essential to modern big data applications in Java: Spring Integration, Spring Batch, Spring Cloud Stream, and Spring Cloud Task. The second part of the book covers the internals of Spring Cloud Data Flow, giving you the insights and knowledge required to build the applications you need. You'll learn how to use Spring Data Flow's DSL and how to integrate with third-party cloud platform solutions, such as Kubernetes.Finally, the book covers Spring Cloud Data Flow applications to impart practical, useful skills for real-world applications of the technologies covered throughout the rest of the book.WHAT YOU WILL LEARN* See the Spring Cloud Data Flow internals * Create your own Binder using NATs as Broker* Mater Spring Cloud Data Flow architecture, data processing, and DSL* Integrate Spring Cloud Data Flow with Kubernetes* Use Spring Cloud Data Flow local server, Docker Compose, and Kubernetes* Discover the Spring Cloud Data Flow applications and how to use them* Work with source, processor, sink, tasks, Spring Flo and its GUI, and analytics via the new Micrometer stack for realtime visibility with Prometheus and GrafanaWHO THIS BOOK IS FORThose with some experience with the Spring Framework, Microservices and Cloud Native Applications. Java experience is recommended. FELIPE GUTIERREZ is a solutions software architect, with a bachelors and master degree in computer science from Instituto Tecnologico y de Estudios Superiores de Monterrey Campus Ciudad de Mexico. With over 20 years of IT experience, during which time he developed programs for companies in multiple vertical industries, such as government, retail, healthcare, education, and banking. Right now, he is currently working as a principal technical instructor for Pivotal, specializing in Cloud Foundry, Spring Framework, Spring Cloud Native Applications, Groovy, and RabbitMQ, among other technologies. He has worked as a solutions architect for big companies like Nokia, Apple, Redbox, and Qualcomm, among others. He is also the author of Introducing Spring Framework, Pro Spring Boot and Spring Boot Messaging, all published by Apress.Part I. Introductions1 - Cloud, Microservices and Big Data an Overview2 - Quick Introduction to Spring Framework and Spring Boot3 - Spring Integration4 - Spring Batch5 - Spring Cloud6 - Spring Cloud App Stream7 - Binders8 – Spring Cloud Data Flow Introduction & InstallationPart II. Spring Cloud Data Flow: Internals9 - Spring Cloud Data Flow Internals10 - Custom Source, Processor, Sink, Tasks with Spring Cloud Task11 - Analytics: Counters and Gauges
A Python Data Analyst's Toolkit
Explore the fundamentals of data analysis, and statistics with case studies using Python. This book will show you how to confidently write code in Python, and use various Python libraries and functions for analyzing any dataset. The code is presented in Jupyter notebooks that can further be adapted and extended.This book is divided into three parts – programming with Python, data analysis and visualization, and statistics. You'll start with an introduction to Python – the syntax, functions, conditional statements, data types, and different types of containers. You'll then review more advanced concepts like regular expressions, handling of files, and solving mathematical problems with Python.The second part of the book, will cover Python libraries used for data analysis. There will be an introductory chapter covering basic concepts and terminology, and one chapter each on NumPy(the scientific computation library), Pandas (the data wrangling library) and visualization libraries like Matplotlib and Seaborn. Case studies will be included as examples to help readers understand some real-world applications of data analysis.The final chapters of book focus on statistics, elucidating important principles in statistics that are relevant to data science. These topics include probability, Bayes theorem, permutations and combinations, and hypothesis testing (ANOVA, Chi-squared test, z-test, and t-test), and how the Scipy library enables simplification of tedious calculations involved in statistics.WHAT YOU'LL LEARN* Further your programming and analytical skills with Python* Solve mathematical problems in calculus, and set theory and algebra with Python* Work with various libraries in Python to structure, analyze, and visualize data* Tackle real-life case studies using Python* Review essential statistical concepts and use the Scipy library to solve problems in statistics WHO THIS BOOK IS FORProfessionals working in the field of data science interested in enhancing skills in Python, data analysis and statistics.Gayathri Rajagopalan works for a leading Indian multi-national organization, with ten years of experience in the software and information technology industry. A computer engineer and a certified Project Management Professional (PMP), some of her key focus areas include Python, data analytics, machine learning, and deep learning. She is proficient in Python, Java, and C/C++ programming. Her hobbies include reading, music, and teaching data science to beginners.Chapter 1: Introduction to Python [25 pages]Description: Python is one of the most popular open-source programming languages and is easy to learn as well.Topics to be covered:1. Installation – how to install Python and Anaconda2. Using Jupyter notebooks3. Data types in Python4. Loops and conditional statements5. Functions6. Strings and their methods7. PEP(Python Enhancement Proposal) guidelines8. Sympy library and solving mathematical problems with PythonChapter 2: Exploring Containers, Classes & Objects, and Working with Files [25 pages]Description: Understanding data structures, classes and objects and file handling in Python.Topics to be covered:1. Lists2. Tuples3. Dictionaries4. Sets5. Classes and Objects6. Working with filesChapter 3: Regular Expressions [20 pages]Description: Regular expressions are important to understand as they have a wide range of applications, from natural language processing to working with files to manipulating stringsTopics to be covered:1. Introduction to regular expressions2. Meta-characters3. Python functions for regular expressions4. Matching characters and sub-expressions5. Using conditions for matchingChapter 4: Data Analysis Basics [10 pages]Description: In this chapter, we will cover the basic terminology in data analysis and the data analysis workflowTopics to be covered:1. Basic concepts and definitions2. Levels of data3. Data analysis workflowChapter 5: Numpy Library [10 pages]Description: The Numpy library will be explained in detail.Topics to be covered:1. Introduction2. Creating arrays3. Slicing and dicing4. Array manipulationsChapter 6: Data Wrangling with Pandas [50 pages]Description: Everything related to Pandas, a widely used library used for manipulating and analyzing dataTopics to be covered:1. Introduction2. Series and their methods/functions3. DataFrames and their methods/functions4. Grouping and Aggregation5. Merging objects6. Tidying dataChapter 7: Data Visualization [20 pages]Description: An introduction to data visualization, which is crucial for and conveying insights to a new audienceTopics to be covered:1. Introduction2. Types of plots3. Creating plots with the Matplotlib library4. Using the Pandas library for drawing graphs5. Visualization with the Seaborn libraryChapter 8: Case Studies [60 pages]Each case study will start with an overview of the dataset, followed by an in-depth analysis of data that includes data tidying, wrangling, and visualization. The case study would conclude with crucial insights, and recommendations.1. Titanic survivors case study2. Analyzing unstructured data using a Wikipedia web page3. New Delhi Air Pollution case studyChapter 9: Essentials of Statistics [60 pages]Description: Knowledge of statistics and its applications, is essential for a data analyst or scientist, and this chapter will try to provide an accessible introduction to what is considered a complicated and confusing subject.Topics to be covered:1. Introduction2. Basic terms3. Measures of central tendency4. Probability5. Distributions6. Bayes Theorem7. Central Limit Theorem8. Hypothesis testing
Manipulationssichere Cloud-Infrastrukturen
Im Rahmen der sich beschleunigenden Digitalisierung wandern sowohl in der Privatwirtschaft als auch den öffentlichen Verwaltungen viele als kritisch bewertete Anwendungen und Dienste in die Cloud. Big Data, Maschinelles Lernen und Künstliche Intelligenz bieten viele Vorteile, werfen aber wachsende Sicherheits- und Datenschutzprobleme auf. Die Sicherheit der informationstechnischen Systeme, einschließlich und insbesondere der Cloud, wird somit zum Dreh- und Angelpunkt einer zuverlässigen, nachhaltigen und sicheren Wirtschaft und Verwaltung.Das vorliegende Buch gibt Antworten auf die von Sicherheitsverantwortlichen und -forschern gleichermaßen gestellte Frage „Wieviel Sicherheit ist genug?“. Dabei werden der rechtliche Rahmen beleuchtet, das Vertrauensdilemma des Cloud Computing herausgearbeitet und die grundsätzlich zur Verfügung stehenden Optionen für Cloud-Sicherheit mit einer Modellierung der Erfolgswahrscheinlichkeit der Angreifer beschrieben und quantitativ analysiert. Es wird gezeigt, wie mit dem Konzept einer manipulationssicheren, versiegelten Verarbeitung der notwendige Durchbruch bezüglich Datenschutz und IT-Sicherheit erzielt werden kann.Mit verschiedenen praktischen Anwendungsfällen der Sealed-Cloud-Technologie wird gezeigt, wie mit solch europäisch implementiertem „Confidential Cloud Computing“ Souveränität in der Datenökonomie gewonnen werden kann.DR. HUBERT A. JÄGER ist Unternehmer und Experte für Innovationen im Bereich der nachhaltigen Digitalisierung. Er baute zusammen mit Dr. Rieken die Uniscon GmbH auf und hält zahlreiche Patente zu unterschiedlichen Themen in der Informationstechnik und Telekommunikation, insbesondere zu Cloud-Sicherheit.DR. RALF O. G. RIEKEN ist Gründer und COO der Uniscon GmbH, einem Anbieter von hochsicheren Cloud-Lösungen. Er hatte zuvor verantwortliche Positionen bei führenden IT- und Netzinfrastrukturlieferanten inne, u.a. im Silicon Valley. Stand der Technik zum Cloud-Computing - Anforderungen geschäftskritischer Anwendungen - Gefühlte und reale Risiken - Überblick zu Konzepten für IT-Sicherheit und Datenschutz in der Cloud - Sealed Processing – ein rein technische Ansatz für Security - Praktische Anwendungen
Digitales Shopfloor Management in SAP-Systemumgebungen
Dieser Ratgeber zeigt Lösungsvarianten sowie Vorgehensmodelle auf und liefert einen schnellen Überblick, Entscheidungshilfen, praxisgerechte Hinweise, Erfahrungshintergrund aus Projekten und Expertenwissen für Ihre Digitalisierungsprojekte in der Fertigung. Erstellen Sie auf Grundlage dieses Buchs eine Roadmap mit den richtigen Prioritäten zur erfolgreichen Digitalisierung Ihrer Produktionsprozesse und verschaffen Sie sich damit Wettbewerbsvorteile in Ihrer Branche.DIPL.-INFORM. MANFRED DIETRICH hat über 20 Jahre Erfahrung in der Beratung von Fertigungsunternehmen und Optimierung von Produktionsabläufen. Mit der deTask CS GmbH (www.detask.de) begleitet er Digitalisierungsvorhaben in der Produktion in unterschiedlichen Branchen der Fertigungsindustrie.Ist-Analyse.-Lösungsbausteine und Varianten.-BI, KI und Cloud.-Erfolgsfaktoren.-Roadmap.
Windows 10 All-in-One For Dummies
DIG INTO THE INS AND OUTS OF WINDOWS 10Computer users have been "doing Windows" since the 1980s. That long run doesn't mean everyone knows the best-kept secrets of the globally ubiquitous operating system. Windows 10 All-in-One For Dummies, 4th Edition offers a deep guide for navigating the basics of Windows 10 and diving into more advanced features.Authors and recognized Windows experts Ciprian Rusen and Woody Leonhard deliver a comprehensive and practical resource that provides the knowledge you need to operate Windows 10, along with a few shortcuts to make using a computer feel less like work.This book teaches you all about the most important parts of Windows 10, including:* Installing and starting a fresh Windows 10 installation * Personalizing Windows 10 * Using Universal Apps in Windows 10 * How to control your system through the Control Panel in Windows 10 * Securing Windows 10 against a universe of threats Windows 10 All-in-One For Dummies, 4th Edition is perfect for business users of Windows 10 who need to maximize their productivity and efficiency with the operating system. It also belongs on the bookshelf of anyone who hopes to improve their general Windows 10 literacy, from the complete novice to the power-user.WOODY LEONHARD was one of the first Microsoft Consulting Partners and Microsoft beta testers. His monthly Q&A columns in ZD Smart Business magazine have one million readers, and he has been honored with multiple Computer Press Awards.CIPRIAN RUSEN is co-founder and chief editor of Digital Citizen, a tech-focused blog at digitalcitizen.life. He is also the author of a number of technology books on Windows, Microsoft Office, and other topics.INTRODUCTION 1About This Book 3Foolish Assumptions 4Icons Used in This Book 5Beyond the Book 6Where to Go from Here 6BOOK 1: STARTING WINDOWS 10 7CHAPTER 1: WINDOWS 10 4 N00BS 9Hardware and Software 12Why Do PCs Have to Run Windows? 12A Terminology Survival Kit 17What, Exactly, is the Web? 21Getting inside the Internet 22What is the World Wide Web? 24Who pays for all this stuff? 25Buying a Windows 10 Computer 26Inside the big box 29Inside a touch-sensitive tablet 32Screening 36Managing disks and drives 36Making PC connections 40Futzing with video, sound, and multitudinous media 44Ultrabooks and convertibles 46What’s Wrong with Windows 10? 46CHAPTER 2: WINDOWS 10 FOR THE EXPERIENCED 49If You Just Upgraded from Windows 7 or 8.1 to Windows 10 50A Brief History of Windows 10 52Exploring the Versions of Windows 10 55The Different Kinds of Windows Programs, Er, Apps 56What’s New for the XP Crowd 60Improved performance 60Better video 62A genuinely better browser is emerging 63Cortana 63Other improvements 64What’s New for Windows 7 Users 65Getting the hang of the new Start menu 66Exploring new stuff in the old-fashioned desktop 68What’s New for Windows 8 and 8.1 Users 69What’s New for All of Windows 70The Start menu 70Microsoft Edge 71Search 73Cortana 74Virtual desktops and task view 75Security improvements 76Game mode and Xbox 77Other Windows 10 apps 78What you lose 79Do You Need Windows 10? 80CHAPTER 3: WHICH VERSION? 83Counting the Editions 84Buying the right version the first time 87Narrowing the choices 87Choosing 32 Bit versus 64 Bit 89Which Version of Windows Are You Running? 91BOOK 2: PERSONALIZING WINDOWS 95CHAPTER 1: GETTING AROUND IN WINDOWS 97Windows’ New Beginnings 98A tale of two homes 99Switching to tablet mode and back 102Navigating around the Desktop 103Keying Keyboard Shortcuts 109CHAPTER 2: CHANGING THE LOCK AND LOGIN SCREENS 113Working with the Lock Screen 114Using your own picture 115Adding and removing apps on the lock screen 118Logging On Uniquely 120Using a picture password 120Creating a PIN 124Windows Hello 125Bypassing passwords and login 126CHAPTER 3: WORKING WITH THE ACTION/NOTIFICATION CENTER 127What is the Action Center? 128What, Exactly, is a Notification? 129Working with Notifications 131Working with Settings Shortcuts 133CHAPTER 4: CONTROLLING USERS 137Why You Need Separate User Accounts 138Choosing Account Types 139What’s a standard account? 139What’s an administrator account? 141Choosing between standard and administrator accounts 141What’s Good and Bad about Microsoft Accounts 143Adding Users 145Changing Accounts 148Changing other users’ settings 148Changing your own settings 153Switching Users 154The Changing Environment 154CHAPTER 5: MICROSOFT ACCOUNT: TO SYNC OR NOT TO SYNC? 157What, Exactly, is a Microsoft Account? 158Deciding Whether You Want a Microsoft Account 159Setting Up a Microsoft Account 161Setting up a Hotmail/Outlook.com account 163Making any email address a Microsoft account 164Stop Using Your Microsoft Account 166Taking Care of Your Microsoft Account 167Controlling Sync 168CHAPTER 6: PRIVACY CONTROL 171Why You Should Be Concerned 172Privacy Manifesto 174The past: Watson to WER 175Customer Experience Improvement Program 175Feedback & Diagnostics tab and DiagTrack 176Denial ain’t nuthin’ but a river 178Knowing What Connections Windows Prefers 179Controlling Location Tracking 180Blocking all location tracking 183Blocking location tracking in an app 184Minimizing Privacy Intrusion 185BOOK 3: WORKING ON THE DESKTOP 187CHAPTER 1: RUNNING YOUR DESKTOP FROM START TO FINISH 189Tripping through Windows 10’s Three Personas 190Working with the Traditional Desktop 192Changing the background 193Cleaning up useless icons and programs 195Mousing with Your Mouse 196What’s up, dock? 197Changing the mouse 199Starting with the Start button 201Touching on the Taskbar 204Working with Files and Folders 205Using File Explorer 207Navigating 208Viewing 210Creating files and folders 211Modifying files and folders 212Showing filename extensions 212Sharing folders 215Using the \Public folder 216Recycling 218Creating Shortcuts 219Keying Keyboard Shortcuts 221Sleep: Perchance to Dream 222CHAPTER 2: PERSONALIZING THE START MENU 225Touring the Start Menu 226Modifying the Start Menu 228Changing your picture 229Manipulating the Most Used section 230Controlling the left-side lists 230Circumnavigating the Start apps list 233Resizing the Start Menu 235Changing Tiles on the Start Menu 236Organizing Your Start Menu Tiles 238Add, add, add your tiles 238Forming and naming your groups 239CHAPTER 3: PERSONALIZING THE DESKTOP AND TASKBAR 241Decking out the Desktop 242Resolving Desktop Resolution 247Setting the screen resolution 247Changing the size of text, apps, and other items 249Using magnification 250Putting Icons and Shortcuts on the Desktop 252Creating shortcuts 253Arranging icons on the desktop 255Tricking out the Taskbar 258Anatomy of the taskbar 259Jumping 259Changing the taskbar 261Working with the taskbar 263CHAPTER 4: INTERNET EXPLORER, CHROME, AND FIREFOX 265Which Browser is Best? 267Considering security 268Looking at privacy 269Picking a browser 270Setting a browser as your default 272Using Internet Explorer on the Desktop 274Navigating in IE 275Changing the home page 282Dealing with cookies 283Why you should stop using IE 285Customizing Firefox 286Installing Firefox 286Browsing privately in Firefox 288Bookmarking with the Fox 290Changing the default search engine 292Adding Firefox’s best add-ons 294Optimizing Google Chrome 295Installing Chrome 296Navigating in Chrome 297Searching on the Web 300Finding what you’re looking for 301Using Advanced Search 303Pulling out Google parlor tricks 305Referring to Internet Reference Tools 305Internet speed test 306DNSstuff 306Monitis Traceroute 307Down for everyone or just me? 308The Wayback Machine 308CHAPTER 5: HEY, CORTANA! 309The Cortana Backstory 311Make Cortana Respond to “Hey, Cortana” 312Setting up Cortana 316Using Cortana Settings 317Useful or Fun Commands for Cortana 320CHAPTER 6: MAINTAINING YOUR SYSTEM 323Rolling Back with the Three Rs 324Creating Password Reset Questions 326Establishing password security questions 327Using password recovery questions 329Making Windows Update Work 330Maintaining Drives 331What is formatting? 331Introducing hard-drive-maintenance tools 332Running an error check 332Defragmenting a drive 334Maintaining Solid-State Drives 335Zipping and Compressing 336Compressing with NTFS 338Zipping the easy way with compressed (zipped) folders 340BOOK 4: USING THE BUILT-IN WINDOWS 10 APPS 343CHAPTER 1: USING THE MAIL AND CALENDAR APPS 345Choosing a Mail/Calendar App 347Comparing email programs 348Comparing Calendar apps 352Choosing the right package 353Drilling Down on Windows 10 Mail 354Creating a new message 358Searching for email in the Mail app 361Mail Settings 361Adding a new email account 362Setting extra options 364Avoiding Calendar App Collisions 365Adding Calendar items 367Struggling with Calendar shortcomings 368Beyond Email 369CHAPTER 2: KEEPING TRACK OF PEOPLE 371The Contact List in Windows 10 372Putting Contacts in the People App 373Adding accounts to People 373Editing a contact 377Adding people in People 379Putting a Contact on the Taskbar 380Alternatives to the Win10 People App 382CHAPTER 3: ZOOMING THE PHOTOS APP AND BEYOND 385Discovering What the Windows 10 Photos App Can Do 386Touring Photos 386Editing Photos 389Setting Settings 392Adding Photos 394Importing Pictures from a Camera or an External Drive 394Working with Albums 395Storing and Managing Photos Online 395CHAPTER 4: NOTING ONENOTE 401Getting Started in OneNote with or without a Pen 402Setting Up Notebooks, Sections, Pages 403Embellishing on a OneNote Page 407Sending to OneNote 409Setting Settings 411CHAPTER 5: MAPS, MUSIC, MOVIES — AND TV 413Making Maps 414Basic map functions 414Navigating with the Maps app 417Taking a map offline 418Get Your Groove Music On 420Getting Your Music and Movies into the Apps 422Running around the Groove Music App 425Finding music and playlists 427Running around the Movies & TV App 428BOOK 5: CONNECTING WITH THE WINDOWS 10 APPS 431CHAPTER 1: INTRODUCING EDGE 433A Walk through Microsoft Edge 435Working with the Immersive Reader 439A Sampler of Edge Settings 440Adding Edge Extensions 445CHAPTER 2: USING SKYPE IN WINDOWS 10 449Signing Up with Skype 450Making First Contact 454Adding a Contact 455Settings 458Making Group Calls 459Recording Calls 460A Few Tips from Skype-ologists 461Exploring Skype Alternatives 463CHAPTER 3: NAVIGATING THE MICROSOFT STORE 467Checking out What a Universal Windows App Can Do 469Browsing the Microsoft Store 472Searching the Microsoft Store 475Updating Your Microsoft Store Apps 476CHAPTER 4: GAMES, GAMES, AND GAMES 479Searching the Store for Games 481Enabling Game Mode 483Using the Game Bar 484Testing Your Connection to Xbox Live Services 486Bringing Back the Classics 487BOOK 6: SOCIALIZING AND SHARING FROM WINDOWS 10 491CHAPTER 1: USING ONEDRIVE 493What is OneDrive? 494Setting Up a OneDrive Account 496The Four States of OneDrive Data 498Changing the States of OneDrive Data 505Sharing OneDrive Files and Folders 506CHAPTER 2: GETTING STARTED WITH FACEBOOK 509Choosing a Facebook App 511Signing Up for a Facebook Account 512Choosing basic Facebook privacy settings 516Interpreting the Facebook interface lingo 520Building a Great Timeline 521Using the Facebook Apps for Windows 10 525CHAPTER 3: GETTING STARTED WITH TWITTER 527Understanding Twitter 528Setting Up a Twitter Account 532Tweeting for Beginners 536Beware hacking 536Using the @ sign and Reply 537Retweeting for fun and profit 538Direct Messaging 538Hooking Twitter into Windows 539CHAPTER 4: GETTING STARTED WITH LINKEDIN 541Signing Up for LinkedIn 542Using LinkedIn for Fun and Profit 546BOOK 7: CONTROLLING YOUR SYSTEM 549CHAPTER 1: SETTINGS, SETTINGS, AND MORE SETTINGS 551Introducing the Settings App 553Spelunking through the Control Panel 556Putting Shortcuts to Settings on Your Desktop 558God Mode 562Installing New Languages 563CHAPTER 2: TROUBLESHOOTING AND GETTING HELP 565Troubleshooting the Easy Way 566Troubleshooting the Hard Way 567Tackling installation problems 567Problems with installing updates 571System Stability and Reliability Monitor 580Windows Sandbox 582Tricks to Using Windows Help 583The problem(s) with Windows Help 584Using different kinds of help 584How to Really Get Help 585Snapping and Recording Your Problems 588Taking snaps that snap 588Recording live 590Connecting to Remote Assistance 593Understanding the interaction 593Making the connection 594Limiting an invitation 598Troubleshooting Remote Assistance 599Getting Help Online 600CHAPTER 3: WORKING WITH LIBRARIES 603Understanding Libraries 604Making Your Libraries Visible 604Working with Your Default Libraries 608Customizing Libraries 610Adding a folder to a library 611Changing a library’s default save location 613Creating Your Own Library 614CHAPTER 4: STORING IN STORAGE SPACES 617Understanding the Virtualization of Storage 618Setting Up Storage Spaces 621Working with Storage Spaces 625Storage Space Strategies 626CHAPTER 5: TAKING CONTROL OF UPDATES AND UPGRADES 627The Case Against Windows Automatic Update 628Terminology 101 629The Great Divide: Home versus Pro 631Keeping Your Windows 10 Machine Protected From Updates 632Postponing Windows 10 Updates 636Keep Up on the Problems 637Stopping Windows 10 Updates from Rebooting Your PC 638CHAPTER 6: RUNNING THE BUILT-IN APPLICATIONS 641Setting Alarms & Clock 642Getting Free Word Processing 645Running Notepad 645Writing with WordPad 647Taming the Character Map 650Calculating — Free 651Painting 653CHAPTER 7: WORKING WITH PRINTERS 657Installing a Printer 658Attaching a local printer 659Connecting a network printer 661Using the Print Queue 663Displaying a print queue 663Pausing and resuming a print queue 664Pausing, restarting, and resuming a document 665Canceling a document 666Troubleshooting Printing 667Catching a Runaway Printer 669BOOK 8: MAINTAINING WINDOWS 10 671CHAPTER 1: FILE HISTORY, BACKUP, DATA RESTORE, AND SYNC 673What Happened to the Windows 7 Backup? 674The Future of Reliable Storage is in the Cloud 674Backing Up and Restoring Files with File History 676Setting up File History 676Restoring data from File History 680Changing File History settings 683Storing to and through the Cloud 686Considering cloud storage privacy concerns 687Reaping the benefits of backup and storage in the cloud 688Choosing an online backup and sharing service 689CHAPTER 2: A FRESH START: RESTORE AND RESET 693The Three R’s — and an SF and a GB 694Resetting Your PC 697Resetting Your PC to Factory Settings 701Starting Fresh 703Restoring to an Earlier Point 704Enabling System Protection 706Creating a restore point 706Rolling back to a restore point 708Entering the Windows Recovery Environment 710CHAPTER 3: MONITORING WINDOWS 713Viewing Events 714Using Event Viewer 714Events worthy — and not worthy — of viewing 716Gauging System Reliability 718CHAPTER 4: USING SYSTEM TOOLS 723Tasking Task Manager 724Task Manager Processes 726Task Manager Performance 727Task Manager App History 728Task Manager Startup and Autoruns 728Task Manager Details and Services 731Managing Startup Apps from Settings 732Installing a Second Hard Drive 733Running a Virtual Machine 736BOOK 9: SECURING WINDOWS 10 745CHAPTER 1: SPIES, SPAMS, AND SCAMS ARE OUT TO GET YOU 747Understanding the Hazards — and the Hoaxes 748The primary infection vectors 749Zombies and botnets 751Phishing 754419 scams 758I’m from Microsoft, and I’m here to help 7610day exploits 762Staying Informed 763Relying on reliable sources 764Ditching the hoaxes 764Is My Computer Infected? 766Evaluating telltale signs 767Where did that message come from? 767What to do next 769Shunning scareware 771Getting Protected 773Protecting against malware 773Disabling Java and Flash 774Using your credit card safely online 775Defending your privacy 777Reducing spam 779Dealing with Data Breaches 781CHAPTER 2: FIGHTING VIRI AND SCUM 785Basic Windows Security Do’s and Don’ts 786Making Sense of Malware 790Deciphering Browsers’ Inscrutable Warnings 793Chrome 793Firefox 795CHAPTER 3: RUNNING BUILT-IN SECURITY PROGRAMS 797Working with Windows Security 798Adjusting Windows Security 800Running Windows Security manually 802Controlling Folder Access 804Judging SmartScreen 806Booting Securely with UEFI 810A brief history of BIOS 810How UEFI is different from/better than BIOS 811How Windows 10 uses UEFI 813Controlling User Account Control 813Poking at Windows Defender Firewall 816Understanding Firewall basic features 817Speaking your firewall’s lingo 818Peeking into your firewall 819Making inbound exceptions 820CHAPTER 4: TOP SECURITY HELPERS 825Deciding about BitLocker 826Managing Your Passwords 829Using password managers 829Which is better: Online or in-hand? 830Rockin’ RoboForm 831Liking LastPass 832Keeping Your Other Programs Up to Date 834Blocking Java and Flash in Your Browser 835Fighting Back at Tough Scumware 838Securing Your Communication with PIA 839What’s a VPN? 840Setting up a VPN 841BOOK 10: ENHANCING WINDOWS 10 843CHAPTER 1: WORKING REMOTELY WITH WINDOWS 10 845Enabling Remote Desktop Connections 846Connecting with Remote Desktop Connection 847Connecting a Second Monitor 849Installing a Webcam 851Adding Clocks to the Taskbar 852CHAPTER 2: USING ANDROID, IPHONE, AND KINDLE WITH WINDOWS 10 855What, Exactly, is Android? 856Getting clear on Android 858Making Windows talk to your Android phone or tablet 858Linking an Android Smartphone to a PC 860Linking an iPhone to a PC 863Turning a Smartphone into a Webcam for Your PC 864Running iTunes on Windows — or Maybe Not 865Deciding whether to use iTunes for Windows 866Installing iTunes 868Setting up iTunes 869Moving files from Windows 10 to an iPhone 870Controlling Windows 10 from an iPhone or iPad 872Wrangling E-Book Files 873Introducing popular e-book formats 873Reading e-book files on your PC 874Organizing your e-book files with calibre 875Getting Media from Your PC to Your Kindle 878Emailing books from your PC to your Kindle 878Receiving emailed books from a friend 879Adding music to your Kindle 881CHAPTER 3: GETTING STARTED WITH GMAIL, GOOGLE APPS, AND DRIVE 883Finding Alternatives to Windows with Google 884Setting Up Gmail 888Moving an Existing Account to Gmail 892Using the Google Apps 894Moving Your Domain to Google 898CHAPTER 4: USING WEB-BASED OUTLOOK.COM (NEE HOTMAIL) 903Getting Started with Outlook.com 904Bringing Some Sanity to Outlook.com Organization 909Handling Outlook.com Failures 911Importing Outlook.com Messages into Gmail 913Weighing the Alternatives 915CHAPTER 5: BEST FREE WINDOWS ADD-ONS 917Windows Apps You Absolutely Must Have 918File History 918VLC Media Player 919LastPass 920Recuva 921The Best of the Rest — All Free 922Nextpad (Notepad replacement) 922Ninite 923Revo Uninstaller 924Paint.net 9257-Zip 925qBittorrent 926Dropbox, Google Drive, OneDrive, or 927Other interesting free software 927You may not need to buy Microsoft Office 928Don’t Pay for Software You Don’t Need! 929Windows 10 has all the antivirus software you need 930Windows 10 doesn’t need a disk defragger 930Windows 10 doesn’t need a disk partitioner 930Windows 10 doesn’t need a Registry cleaner 931Windows 10 doesn’t need a backup program 931Don’t turn off services or hack your Registry 932Index 933
Microsoft Azure Architect Technologies and Design Complete Study Guide
BECOME A PROFICIENT MICROSOFT AZURE SOLUTIONS ARCHITECTAzure certifications are critical to the millions of IT professionals Microsoft has certified as MCSE and MCSA in Windows Server in the last 20 years. All of these professionals need to certify in key Azure exams to stay current and advance in their careers. Exams AZ-303 and AZ-304 are the key solutions architect exams that experienced Windows professionals will find most useful at the intermediate and advanced points of their careers.Microsoft Azure Architect Technologies and Design Complete Study Guide Exams AZ-303 and AZ-304 covers the two critical Microsoft Azure exams that intermediate and advanced Microsoft IT professionals will need to show proficiency as their organizations move to the Azure cloud.* Understand Azure* Set up your Microsoft Cloud network* Solve real-world problems* Get the confidence to pass the examBy learning all of these things plus using the Study Guide review questions and practice exams, the reader will be ready to take the exam and perform the job with confidence.BENJAMIN PERKINS is a Senior Support Escalation Engineer at Microsoft. He’s an expert C# programmer with a focus on modern cloud and web technologies. He has 15+ years of experience in designing, developing, deploying, administering, and managing enterprise IT solutions.WILLIAM PANEK, MCP, MCSE, MCSA, MCTS, MCITP, CCNA, is a Five-Time Microsoft MVP Winner. He has taught at Boston University, Clark University, and the University of Maryland, and presently conducts live online classes for StormWind Studios www.stormwind.com Introduction xxiAssessment Test xxxixCHAPTER 1 GAINING THE AZURE SOLUTIONS ARCHITECT EXPERT CERTIFICATION 1The Journey to Certification 3A Strategy to Pass the Azure Exams 5Use Azure Daily 5Read Azure Articles, Keeping Yourself Current 6Recognize Azure Product Names, Features, and Functionalities 9Strive for a Deep Knowledge of a Few, Some Knowledge of Many, and a Basic Knowledge of All 10An Introduction to “Must-Know” Azure Features 12Azure Active Directory and Security 12Networking 13Azure Virtual Machines 15Azure App Service 16Azure Functions 18API Management 19Azure Monitor 20Azure SQL 22Azure Cosmos DB 24Azure Storage 25Service Bus 28Site Recovery 30Azure Bastion 32Summary 32Exam Essentials 33Key Terms 34Review Questions 35CHAPTER 2 SECURITY AND IDENTITY 39Azure Active Directory 40Add a Custom Domain to Azure Active Directory 44AAD Connect 49Connect Health 51Directory Objects 52Single Sign-On 52B2B Collaboration 53Self-Service Password 54Application Proxy 54Service Level Agreement 56Identity Protection 57Conditional Access 59Multifactor Authentication 66Privileged Identity Management 74Managed Identities 75Azure AD Domain Services 76Role-Based Access Control 78How to Control Who or What Has Access 84How to Provide Permissions to Resources 85How Are the Permissions to Resources Controlled? 87Custom Roles 87Hardware and Network Security 92Microsoft Trust Center 93Security Center 93Azure Network Security 98Application Gateway/WAF 98Azure DDoS Protection 99Azure Confidential Computing 99Azure Security Products and Techniques 102Shared Access Signature 102Azure Key Vault 103Easy Auth 105Summary 106Exam Essentials 106Review Questions 108CHAPTER 3 NETWORKING 111Microsoft’s Global Network 112Overview of Hybrid Networks 114Azure Virtual Network 115Azure Virtual Networking 117Regions 117Key Features and Capabilities 127Network Security 168Traffic Filtering with NSG, ASG, and NVA 169Application Gateway/WAF 174IP Restrictions 180Network Map and Topology 183Using Azure DNS 184Azure-Provided DNS 187Hybrid Azure Networking 190ExpressRoute 190Site-to-Site VPN Gateway 192Additional Azure Networking Products 201Application Gateway 202Hosting Multiple Websites 206Azure Load Balancer 211Azure Front Door 214Azure Content Delivery Network 215Traffic Manager 217Azure Relay/Hybrid Connection Manager 218Key Terms 220Summary 221Exam Essentials 222Review Questions 224CHAPTER 4 COMPUTE 227An Overview of Compute (Hosting Model) 229Cloud Service Models 229How to Choose the Right Hosting Model 231Architectural Styles, Principles, and Patterns 234Azure Compute Best Practices 237Azure Container Instances 239OS Virtualization, Containers, and Images 241Container Groups and Multicontainers 243Azure Virtual Machines 256Creating Azure Virtual Machines 259Managing Azure Virtual Machines 271Azure App Services 298Web Apps 301Web App for Containers (Linux) 306App Service Environments 308Azure WebJobs 309Azure Batch and HPC 312Storage 316Marketplace 316Azure Functions 317Hosting Plans 319Triggers and Bindings 320Runtime Versions 326Supported Programming Languages 326Service Fabric 328Clusters and Nodes 330Architecture 331Best-Practice Scenarios 332Azure Integration 335Azure Kubernetes Service 336Kubernetes vs. AKS 336Clusters, Nodes, and Pods 338Development and Deployment 338Maintaining and Scaling 342Cloud Services 344Windows Virtual Desktop 345Summary 346Key Terms 347Exam Essentials 348Review Questions 350CHAPTER 5 DATA AND STORAGE 355RDBMS, OLTP, OLAP, and ETL 357Big Data/NoSQL 358Choosing the Right Data Storage Solution 359Document Databases 360Key/Value Pairs 361Graph Databases 362Object Storage 363Relational Database Management System 363Search Engine Databases 365Data Analytics/Data Warehouse 365Shared Files 373Azure Data Store 377Azure SQL Database 382Other Azure Data Stores 420Azure Storage 424Zone Replication 434Data Backup, Migration, and Retention 437Securing Azure Data 443Summary 451Exam Essentials 451Key Terms 452Review Questions 454CHAPTER 6 HYBRID, COMPLIANCE, AND MESSAGING 457Hybrid Solutions 458Hybrid Security 459Hybrid Networking 460Hybrid Computing 462Hybrid Data Solutions 463Azure Cloud Compliance Techniques 463Compliance and Governance 464Security 472Resiliency and Reliability 474Privacy 475Security Center 478Microsoft Cloud App Security 483Azure Messaging Services 484Event vs. Messaging 485How to Choose the Right Messaging Service 485Messaging Patterns 487Event Hubs 492Service Bus 496Azure Storage Queue 498Event Grid 499Logic Apps 503Notification Hubs 505Summary 505Exam Essentials 506Key Terms 506Review Questions 508CHAPTER 7 DEVELOPING FOR THE CLOUD 511Architectural Styles, Principles, and Patterns 512Architectural Styles 513Design Principles 515Cloud Design Patterns 517An Introduction to Coding for the Cloud 523Triggering a Background Job 523Connecting to Regional/Global Database Instances 524Working with the Azure Queue Storage SDK 524Forms, Certificate, Windows, MFA, OpenStandard, Managed Identities, and ServicePrinciple Authentication 525Reading Encrypted Data from a Database 531IDEs and Source Code Repositories 533Implementing Security 534Summary 538Exam Essentials 539Key Terms 539Review Questions 540CHAPTER 8 MIGRATE AND DEPLOY 543Migrating to Azure 544Azure Site Recovery 548Azure Migrate 549Migrating Azure Virtual Machines 551Database Migration 558Migrating Azure App Services 565Import/Export 566Moving Resources in Azure 567Moving Azure App Services 568Moving Azure Virtual Machines 569Deploying Application Code and Azure Resources 576Deploying with Visual Studio 578Deploying with ARM Templates 580Working with DevOps 594Learning Azure Automation 600Process Automation 604Configuration Management 605Update Management 606Other Automation Resources 607Summary 608Exam Essentials 608Key Terms 609Review Questions 610CHAPTER 9 MONITOR AND RECOVER 613Monitoring Azure Resources 615Azure Service Health 619Azure Monitor 621Azure Monitoring by Component 634Additional Monitoring Topics 648Recover Azure Resources 649What is BCDR? 650Azure Recovery Services 651Azure Recovery by Product Type 668Summary 677Exam Essentials 678Review Questions 679APPENDIX ANSWERS TO REVIEW QUESTIONS 681Chapter 1: Gaining the Azure Solutions Architect Certification 682Chapter 2: Security and Identity 683Chapter 3: Networking 684Chapter 4: Compute 685Chapter 5: Data and Storage 687Chapter 6: Hybrid, Compliance, and Messaging 688Chapter 7: Developing for the Cloud 688Chapter 8: Migrate and Deploy 689Chapter 9: Monitor and Recover 690Index 693
Data Science Solutions on Azure
Understand and learn the skills needed to use modern tools in Microsoft Azure. This book discusses how to practically apply these tools in the industry, and help drive the transformation of organizations into a knowledge and data-driven entity. It provides an end-to-end understanding of data science life cycle and the techniques to efficiently productionize workloads.The book starts with an introduction to data science and discusses the statistical techniques data scientists should know. You'll then move on to machine learning in Azure where you will review the basics of data preparation and engineering, along with Azure ML service and automated machine learning. You'll also explore Azure Databricks and learn how to deploy, create and manage the same. In the final chapters you'll go through machine learning operations in Azure followed by the practical implementation of artificial intelligence through machine learning.Data Science Solutions on Azure will reveal how the different Azure services work together using real life scenarios and how-to-build solutions in a single comprehensive cloud ecosystem.WHAT YOU'LL LEARN* Understand big data analytics with Spark in Azure Databricks * Integrate with Azure services like Azure Machine Learning and Azure Synaps* Deploy, publish and monitor your data science workloads with MLOps * Review data abstraction, model management and versioning with GitHubWHO THIS BOOK IS FORData Scientists looking to deploy end-to-end solutions on Azure with latest tools and techniques.JULIAN SOH is a cloud solutions architect with Microsoft, focusing in the areas of artificial intelligence, cognitive services, and advanced analytics. Prior to his current role, Julian worked extensively in major public cloud initiatives, such as SaaS (Microsoft Office 365), IaaS/PaaS (Microsoft Azure), and hybrid private-public cloud implementations.PRIYANSHI SINGH is a data scientist by training and a data enthusiast by nature specializing in machine learning techniques applied to predictive analytics, computer vision and natural language processing. She holds a master’s degree in Data Science from New York University and is currently a Cloud Solution Architect at Microsoft helping the public sector to transform citizen services with Artificial Intelligence. She also leads a meetup community based out of New York to help educate public sector employees via hands on labs and discussions. Apart from her passion for learning new technologies and innovating with AI, she is a sports enthusiast, a great badminton player and enjoys playing Billiards. Find her on LinkedIn at https://www.linkedin.com/in/priyanshi-singh5/PART I - INTRODUCTION TO DATA SCIENCE AND ITS RISE TO PROMINENCEChapter 1 Data Science in the modern enterpriseWhat is Data ScienceThe Data Scientists' tools and lingoEthics and ethical AISignificance of Data Science in organizationsCase Studies of applied Data ScienceChapter 2 Most important Statistical Tehniques in Data ScienceTop Statistical Tehniques Data Scientists need to knowSupervised LearningUnsupervised LearningRegression/Classification/ ForecastingBayesian methodTime series analysisLinear regressionSampling methodsReinforcement LearningPART 2 - MACHINE LEARNING IN MICROSOFT AZUREChapter 3 Basics of data preparation and data engineeringIngesting disparate data sourcesPreparing data for analysisData ExplorationFeature EngineeringChapter 4 Introducing Azure Machine LearningAzureML- DataStores/ DatasetsAzure ML Compute/CLusters/inference/batch-realtimeAzure ML Service- Training and BuildingAzure ML Service- DeployingAzure ML Service- PipelinesAzure ML Studio/DesignerAzure Automated Machine Learning (AutoML)Hyperparameter TrainingAzure ML- SecurityCase StudyPART 3 - AZURE DATABRICKSChapter 5 Spark and Big DataSpark and HadoopWhat is Big Data?Why Spark is the platform of choice for Big DataChallenges with Big DataChapter 6 Azure Databricks BasicsWhat is Azure DatabricksAzure Databricks from the Data Engineers' perspectiveAzure Databricks from the Data Scientists' perspectiveChapter 7 Azure DatabricksDeploying the Azure Databricks workspaceCreating and Managing ClustersCreating and managing users and groupsManaging Databricks NotebooksUsing Databricks NotebooksDBFSConnecting to ADLSSample Notebook(s)PART 4 - OPERATIONALIZING DATA SCIENCEChapter 8 Machine Learning OperationsOperationalization concepts and DevOpsMLOps in AzureMLFlow in Azure DatabricksGitChapter 9 Practical MLIntroducing use cases in the different industriesDemocratizing AI through ML
UI Design for iOS App Development
Design is a challenge for most developers. Without a background or training in user interface skills, it’s hard to navigate what choices make the best sense for the end user. This book shows you how to migrate from Storyboards to SwiftUI to design dynamic and engaging UIs for iOS apps.SwiftUI is new in iOS 13 but you may want to support past versions as well. To satisfy this, you'll start by reviewing nib/xib files and Storyboards and then move into SwiftUI and explore how to design apps in both UI toolkits. Gaining a firm base in technologies old and new will allow you to future proof your UI during this period of transition.Developers generally want to stay in code, but UI development tends to be a visual effort. This book takes a very structured and code-like approach to UI design to take the fear away. You’ll grasp Storyboards and Auto-Layout/Constraints, while also learning to move past them with the easier options in SwiftUI. A clear understanding of both technologies is key to keeping your most functional coding and also making things look right.With UI Design for iOS App Development, you’ll learn SwiftUI easily and get back into your code quickly.WHAT YOU'LL LEARN* Build iOS app UIs both in current and new paradigms* Work with Storyboards and Auto-Layout/Constraints* Design UIs in a coder friendly wayWHO THIS BOOK IS FORiOS developers building a strong foundation in UI design to fill in the gaps from their training. For veteran developers, it’s vital to be able to match your coding skills with equal UI/UX abilities.BEAR CAHILL has been a developer since he was 12. Like many developers, he initially wanted to be a game developer, but that’s not as accessible as data-driven development roles. Much of the focus of education and job experience is low- level and based in binary data. UI design, while technical, is often neglected. Developers tend to struggle and “get by” at best. He has experience in teaching Auto-Layout/Constraints and other “difficult” UI topics to coders who are used to working in dry code.Chapter 1: Intro to SwiGUI* ContentView UI * SceneDelegate and State Changes * Real-Time UI Design Chapter 2: UI Basics* Text Display * Image * Modifiers for Text * State Variables and Binding * Compared to Storyboards Chapter 3: UI Elements* Stepper for Numeric Input * Picker for Single Item Selection * Segmented Control * Text Input * Animation & Property Animator * Gestures Chapter 4: UI Stacks* Horizontal Layout with HStack * VStack for Vertical Layout * ZStack Layering UI * Stack Modifiers Chapter 5: Displaying Groups of Items* List for Scrolling Tables User Interaction with Lists * Updating and State Chapter 6: Observable Objects and Environment Variables* Combine Framework * SwiGUI Data Flow * ObservableObject Protocol * @Published * @ObservedObject * Environment Variables Chapter 7: Navigation* NavigationView * Tab Bars with Tab View * Alert Sheet * Hos=ng Controller for Storyboards * Segues * Size Classes Chapter 8: UI Organization* View Creation * Including Views View Controllers * UIViewControllerRepresentable Protocol Chapter 9: Dynamic UI* SF Symbols * Systematic Colors * Dark Mode
Building Solutions with Microsoft Teams
Explore Microsoft Teams and use its principal tools such as Node.js, npm, Yeoman, Gulp, TypeScript, and React to help you develop for Teams better. This book covers the core components and use cases for Teams apps and guides you through ideas for automation, provisioning, and implementation.Building Solutions with Microsoft Teams starts with an overview of the Microsoft Teams developer platform followed by how to set up your environment for building apps and solutions with Teams. You will then go through various features of conversational bots and learn how to create a bot. You will gain an understanding of the messaging extension and command actions along with tabs for personal, groups, and teams contexts. Moving forward, you will work with SharePoint and Teams together via SharePoint Framework. Finally, you will manage the Teams life cycle and see design guidelines supported by various case studies.After reading this book, you will be able to integrate solutions from Power Apps, Power Automate, Power BI, and Power Virtual agents by using accelerators. You will also be able to leverage your existing skills from SharePoint Framework development.WHAT YOU WILL LEARN* Extend the Teams developer platform capabilities* Understand Microsoft Graph, including lifecycle management, collaboration, calling, and online meetings* Create an app package for your Microsoft Teams app* Connect web services to Microsoft Teams with webhooksWHO THIS BOOK IS FORMicrosoft Teams developers.Jenkins is an Office Development MVP who has been working on SharePoint for more than 16 years, focusing on building custom solutions for Microsoft Teams, SharePoint Framework, Power Platform, Office 365, and SharePoint.He is passionate about SharePoint and actively blogs, organizes events, and speaks at events and international conferences, most recently on the topics of Microsoft Teams, SharePoint Framework (SPFx), Power Apps, Power Automate, and Power Virtual Agents.CHAPTER 1: OVERVIEW: MICROSOFT TEAMS DEVELOPER PLATFORMCHAPTER GOAL: Introduction to Microsoft Teams Developer PlatformNO OF PAGES: 20SUB -TOPICS1. Objectives2. Microsoft Teams Overview3. Key Features of Microsoft Teams4. Teams Architecture5. Teams extensible platform capabilities6. Why do you have to build apps for Teams7. ConclusionCHAPTER 2: BUILDING APPS AND SOLUTIONS WITH MICROSOFT TEAMSCHAPTER GOAL: This chapter covers - setup environment and explains how to create apps for Microsoft Teams using C# on .NET, Nodejs, and Yeoman Generator. Also describes about various contexts and scenarios about teams’ apps line of business.NO OF PAGES: 35SUB - TOPICS:1. Microsoft Teams Developer Platform Overview2. Setup the Development environment for Microsoft Teams3. Register the bot with Microsoft Azure's Bot Framework4. Teams apps in various contexts5. Create an app using yeoman generator6. Use App Studio to create your app7. Create an app package for your Microsoft Teams app8. Create an app using Nodejs9. Create an app using C#10. How to use Adaptive cards in Teams app11. ConclusionCHAPTER 3: INTERACTIVE CONVERSATIONAL BOTSCHAPTER GOAL: This chapter covers various features of conversational bots and explains how to create bot with examples to guide the usersNO OF PAGES: 35SUB - TOPICS1. Overview of bots2. Bots in Microsoft Teams channels and group chats3. Proactive messages from bots4. Exercise 1 - Creating conversational bots for Microsoft Teams5. Exercise 2 - Bots in Microsoft Teams channels and group chats6. Exercise 3 - Proactive messages from bots7. ConclusionCHAPTER 4: MESSAGING EXTENSION AND ACTION COMMENTSCHAPTER GOAL: This chapter covers various features of Messaging extension and explains how to create Messaging extension and command actions with examples to guide the usersNO OF PAGES: 30SUB - TOPICS:1. Overview of message extension2. Microsoft Teams messaging extensions and action commands3. Search command message extensions4. Link unfurling message extensions5. Exercise 1 - Create action command messaging extensions6. Exercise 2 - Create search command messaging extensions7. Exercise 3 - Implement link unfurling messaging extensions8. ConclusionCHAPTER 5: EMBEDDED WEB EXPERIENCES WITH TABSCHAPTER GOAL: This chapter covers various features of tabs and explains how to create tabs for personal, groups and teams contexts with examples to guide the usersNO OF PAGES: 30SUB - TOPICS:1. Overview of Tabs2. Create a custom Microsoft Teams personal tab3. Create a custom Microsoft Teams channel or group tab4. Implement authentication in a custom tab5. Exercise 1 - Create a custom Microsoft Teams personal tab6. Exercise 2 - Create a custom Microsoft Teams channel or group tab7. Exercise 3 - Implement authentication in a custom tab8. ConclusionCHAPTER 6: COLLECT INPUT FROM USER USING TASK MODULESCHAPTER GOAL: This chapter covers various features of task modules and collects input from users and process the inputs with examples to guide the usersNO OF PAGES: 30SUB - TOPICS:1. Overview of Task Modules2. Collecting user input with task modules3. Deep links in task modules using adaptive cards4. Bots using task modules5. Exercise - Collecting user input with task modules6. Exercise 1 - Using adaptive cards and deep links in task7. Exercise 2 - Using task modules with bots8. ConclusionCHAPTER 7: CONNECT WEB SERVICES TO MICROSOFT TEAMS WITH WEBHOOKSCHAPTER GOAL: This chapter covers topics like web services to Microsoft Teams with webhooks and explains how to create incoming webhook and outgoing webhooks with examples to guide the users.NO OF PAGES: 20SUB - TOPICS:1. Overview of Webservices and webhooks2. Connect web services to Microsoft Teams with webhooks3. Create incoming webhooks4. Exercise 1 - Create outgoing webhooks5. Overview of Connectors6. Use Office 365 Connectors in Microsoft Teams7. Exercise 2 - Create incoming webhooks8. Exercise 3 - Create and add Office 365 Connectors to teams9. ConclusionCHAPTER 8: EXTEND YOUR SOLUTION WITH MICROSOFT GRAPHCHAPTER GOAL: This chapter covers the topic, extend your solution with Microsoft Graph components with examples to guide the users.NO OF PAGES: 20SUB - TOPICS:1. Overview of Connectors2. Overview of Graph API3. Teams Graph APIs4. Graph API for Lifecycle Management5. AAD App Setup & App Permission6. Exercise 1 - Quick Start with AAD packaged solution7. Microsoft Graph: Teams app scenarios8. Exercise 2 – Manage Teams and Channel using AppCHAPTER 9: BUILDING TEAMS APPS USING SOLUTION ACCELERATORSCHAPTER GOAL: This chapter covers - Integrate Power Platform, App template and Teams Mobile Platform extensibility with examplesNO OF PAGES: 40SUB - TOPICS:1. Overview of Solution Accelerations2. PowerApps Integration3. Power Virtual Agents Integration4. Power Automate Integration5. Exercise 1 - Make Your PowerApps a Teams App6. App templates for Teams apps7. Exercise 2 - A simple FAQ bot that brings a human in the loop8. Teams Mobile Platform extensibility9. Exercise 3 – Message extension with Mobile extensibility10. ConclusionCHAPTER 10: SHAREPOINT AND TEAMS: BETTER TOGETHERCHAPTER GOAL: This chapter covers the topic SharePoint and teams better together via SharePoint Framework with examples.NO OF PAGES: 20SUB - TOPICS:1. What is SharePoint Framework2. Surfacing SharePoint Framework to Teams3. Package and distribute your SPFX webpart to Teams4. Exercise 1 – Create a SPFx webpart and distribute to Teams5. ConclusionCHAPTER 11: TEAMS LIFECYCLE MANAGEMENT AND DESIGN GUIDELINE FOR APPSCHAPTER GOAL: This chapter covers the topics Teams life cycle management and design guidelines with examples.NO OF PAGES: 30SUB - TOPICS:1. Overview of Deploy the apps2. Run and debug your Microsoft Teams app3. Packaging your app4. Deploy and publish your app5. Design tools and approach6. Best Practices and Examples7. Exercise 1 – Upload an app package to Microsoft Teams8. Exercise 2 – Publish your app to your organization9. Exercise 3 – Publish your app on AppStore10. Conclusion
Cyber Security on Azure
Prevent destructive attacks to your Azure public cloud infrastructure, remove vulnerabilities, and instantly report cloud security readiness. This book provides comprehensive guidance from a security insider's perspective.CYBER SECURITY ON AZURE supports cloud security operations and cloud security architects by supplying a path to clearly identify potential vulnerabilities to business assets and reduce security risk in Microsoft Azure subscription. This updated edition explores how to “lean-in” and recognize challenges with IaaS and PaaS for identity, networks, applications, virtual machines, databases, and data encryption to use the variety of Azure security tools. You will dive into Azure Cloud Security to guide cloud operations teams to become more security focused in many areas and laser focused on security configuration. New chapters cover Azure Kubernetes Service and Container security and you will get up and running quickly with an overview of Azure Sentinel SIEM Solution.WHAT YOU'LL LEARN* Understand enterprise privileged identity and security policies* "Shift left" with security controls in Microsoft Azure* Configure intrusion detection and alerts* Reduce security risks using Azure Security ServiceWHO THIS BOOK IS FORIT, cloud, and security administrators in AzureMARSHALL COPELAND is a cloud security architect focused on helping customers “shift left” with cloud security defenses in Azure public cloud using cloud-native services and third-party network security appliances. He uses Infrastructure as Code (IaC) with ARM templates or Terraform HCL to build cloud infrastructure and disaster recovery solutions. Marshall's Azure security design skills include Azure Sentinel, Security Center, Policy, Firewall and ACL networking, and a few open-source solutions such as ELK stack, Wireshark, and Snort. He partners with security operations to guide cloud investigations to enhance “blue team hunting” efficiencies.MATTHEW JACOBS is a system engineer focused on cloud architecture technologies needed to support identity management, security, and collaboration tool sets for small and medium businesses, including enterprise organizations. His work has focused on digital transformation, including on-premise only, hybrid cloud networks, and complete public cloud-only deployment. Matthew brings a hands-on cloud architecture approach for Identity Management (IAM) and enhanced engineering to enable business agility that secures and supports a global remote work force. His current work in the Nashville, Tennessee area includes Fortune 500 media, entertainment, and hospitality companies, and his work history extends into public cloud federal compliance requirements for the banking and healthcare industries.PART I: ZERO TRUST CLOUD SECURITYCHAPTER 1. REDUCE CYBERSECURITY VULNERABILITIES FROM THE IDENTITY LAYERIn this chapter you learn the foundation of Azure active directory and quickly expand on the different capabilities for custom domains to manage Azure Subscriptions and why Identity is the security perimeter in the cloud. Azure directly supports IAM (Identity Access Management), for any size organization as the IT cloud supports secure connection from any device and any location. In this chapter you gain insight into IAM challenges for blue team defense of cyber security attacks.· Azure cloud relations to: Azure Tenant, Azure Subscription, Azure ADo Azure tenant securityo Azure subscription securityo Azure API securityo Azure resource locks· Managing Azure Active Directory: Users, and Groups· Azure Active Directory OAuth, SAML, AD Connect· Security measures:o Azure Application Permission Scopes, consento Configure Multi-Factor Authenticationo Conditional Access Policies· Configure Azure AD Privileged Identity ManagementCHAPTER 2 AZURE NETWORK SECURITY CONFIGURATIONSoftware defined network is titled VNet in Azure and introduces new security challenges for cloud security architect when it comes to isolate data and still allow secure communication from valid users, applications and systems. In this chapter you learn security supported networking in Azure with the guides to present TCP/IP, protocol communication ports and what Azure security services are available to learn about notable tactics, techniques and procedures (TTPs) that can be exploited by Advanced Persistent Threats (APT). You learn VNet recommendations to mitigate misconfigurations and provide detection on Incidents of Compromise (IOC) like forensic evidence of potential intrusions.· Virtual Networks, VNets, Network Peering· NSG, Port vulnerability, OSI / TCP Model· Azure Firewall Configurations· Azure Front Door Service· Application Security Groups· Remote Access ManagementCHAPTER 3 REDUCE CYBERSECURITY VULNERABILITIES FROM IAAS AND DATAOperational frameworks and cyber security frameworks work hand-in-hand to support the business. The framework helps to prepare and enable steps to prevent penetration from globally attacks. In this chapter you learn through examples about advanced persistent threats (APT) using techniques, tactics and procedures to reduce risk to specific threats.· Harden Azure VMs· VM Security· VM Endpoint Security· VM OS security updates· Database configurations (Best Practices)o Authenticationo Auditingo SQL Advanced Threat Protection· Storage Accounts (data access)· Key Management (best practices)· Azure Files authentication· Shared Access Signatures (SAS)· HDInsight SecurityPART II: AZURE CLOUD SECURITY OPERATIONS (RED TEAM / BLUE TEAM)(150 pages)This section of the book is focused on identifying the vulnerabilities from a Red Team perspective (aka Black Hat) and how the Blue Team (White Hat) could defend from the attack. The topics are the same but the Red teams view to help train the Blue teams defense on specific cloud targets. During the chapters in Part II the reader is guided through many attack matrix from https://attack.mitre.org/ and C2Matrix examples of attackers and their attack techniques.CHAPTER 4 CONFIGURE AZURE MONITORING FOR BLUE TEAM HUNTINGIn this chapter readers learn about monitoring the availability of applications and services provide the insight on all Azure services from VM, to containers and cloud services specific to Microsoft Azure. Logs are divided into two functional types, Metrics, and logs. Azure has continued to expand insight by collecting this data and displaying in for alerts and management datapoints to respond appropriately.Data collected includes tenant and subscription data in attrition to all Azure resources. Metrics are near real time data (review using Metrics Explorer), reviews data at a specific point of time. Logs have different properties based on the type of logs. Streamed to an Analytics workspace for Alerting and review information over long periods of time.· Azure Monitor enablement· Logs sources and types of logs· Diagnostic logs & retention· Azure analytics· Privileged Identity Management Configuration· Monitor Privileged Access Best Practices· Manage API access Best Practices· Manage Azure subscription transfers (M&A activities)CHAPTER 5 AZURE SECURITY CENTER CONFIGURATIONAzure Security Center was introduced in the First Editions, and the reader continues their journey with a deep dive on considerations for reducing other security tools. You learn how to ingest log files from Azure environment and auto discover IaaS resources to reduce the “shadow IT” expansion. In this chapter the Cyber Security Kill Chain is front-and-center as you learn to configure alerts on known exploits. Again the reinforcement of the Attack Matrix is used to correlate and guide the Cloud Operations team into Cloud Security Operations.· Configuration cost (consolidation considerations)· Enable security:o Networko VMso Databaseo BLOBs· Data Protection· Configure Alerting· Central policy management with Security Center· Just in Time VM access with Security Center· Azure SentinelCHAPTER 6 AZURE KUBERNETES SERVICE AND CONTAINER SECURITYA NEW chapter in the second edition, takes the reader beyond the introduction to Kubernetes, it guides them on why containers are not secure by default. You learn container weakness and how to mitigate with security controls to secure Azure containers and the Azure Kubernetes Service (AKS).You learn to use Azure Security Center to identify the different Alerts from a Windows OS and Linux OS running in Azure IaaS configuration. Threat protection with Security Center expands the benefits of a cloud-native solution and you learn how using the security controls support your companies Cyber Security Framework.· Container Network Configuration· Authentication· Container isolation· AKS Security focus· Securing the container registry· Container vulnerability managementCHAPTER 7 SECURITY GOVERNANCE OPERATIONSA NEW chapter that uses many exercises to provide Azure Policy definition structure and readers learn how the policies take effect on users based on business rules. The exercises examples help readers evaluate the impact and what the logical evaluation of an Azure policy and how to customize the JSON policy definitions. Additional policies apply directly to Azure Kubernetes Services (AKS), to support the Information Security Officers team goals of improved security controls and reporting.· Azure Policies (overview)o Assignmentso Definitionso Blueprints· Compliance reports· Configure Azure Monitoro Diagnostic loggingo Log retentiono Vulnerability scanning· Data Managemento Classificationo Retentiono SovereigntyAPPENDIX A (10-20 PAGES)· Azure Penetration Testing ConfigurationAPPENDIX B (10-20 PAGES)· Configure an Azure Cloud Cyber Security lab for education
ML.NET Revealed
Get introduced to ML.NET, a new open source, cross-platform machine learning framework from Microsoft that is intended to democratize machine learning and enable as many developers as possible.Dive in to learn how ML.NET is designed to encapsulate complex algorithms, making it easy to consume them in many application settings without having to think about the internal details. You will learn about the features that do the necessary “plumbing” that is required in a variety of machine learning problems, freeing up your time to focus on your applications. You will understand that while the infrastructure pieces may at first appear to be disconnected and haphazard, they are not.Developers who are curious about trying machine learning, yet are shying away from it due to its perceived complexity, will benefit from this book. This introductory guide will help you make sense of it all and inspire you to try out scenarios and code samples that can be used in many real-world situations.WHAT YOU WILL LEARN* Create a machine learning model using only the C# language* Build confidence in your understanding of machine learning algorithms * Painlessly implement algorithms * Begin using the ML.NET library software* Recognize the many opportunities to utilize ML.NET to your advantage* Apply and reuse code samples from the book* Utilize the bonus algorithm selection quick references available onlineWHO THIS BOOK IS FORDevelopers who want to learn how to use and apply machine learning to enrich their applicationsSUDIPTA MUKHERJEE is an electronics engineer by education and a computer scientist by profession. He holds a degree in electronics and communication engineering. He is passionate about data structure, algorithms, text processing, natural language processing tools development, programming languages, and machine learning. He is the author of several technical books. He has presented at @FuConf and other developer events, and he lives in Bangalore with his wife and son.Chapter 01: Meet ML.NETChapter 02: The PipelineChapter 03: Handling DataChapter 04: RegressionsChapter 05: ClassificationsChapter 06: ClusteringChapter 07: Sentiment AnalysisChapter 08: Product RecommendationChapter 09: Anomaly DetectionChapter 10: Object Detection
Why AI/Data Science Projects Fail
RECENT DATA SHOWS THAT 87% OF ARTIFICIAL INTELLIGENCE/BIG DATA PROJECTS DON’T MAKE IT INTO PRODUCTION (VB STAFF, 2019), MEANING THAT MOST PROJECTS ARE NEVER DEPLOYED. THIS BOOK ADDRESSES FIVE COMMON PITFALLS THAT PREVENT PROJECTS FROM REACHING DEPLOYMENT AND PROVIDES TOOLS AND METHODS TO AVOID THOSE PITFALLS. Along the way, stories from actual experience in building and deploying data science projects are shared to illustrate the methods and tools. While the book is primarily for data science practitioners, information for managers of data science practitioners is included in the Tips for Managers sections.* Preface* Introduction and Background* Project Phases and Common Project Pitfalls* Define Phase* Making the Business Case: Assigning Value to Your Project* Acquisition and Exploration of Data Phase* Model-Building Phase* Interpret and Communicate Phase* Deployment Phase* Summary of the five Methods to Avoid Common Pitfalls* References* Author Biography
Künstliche Intelligenz in der Automobilindustrie
Dieses Buch öffnet Ihnen die Augen, wie Künstliche Intelligenz die Automobilindustrie nachhaltig disrumpieren wird. Um diese Disruption zu meistern, müssen Automobilhersteller das volle Potential aus ihren Daten schöpfen, und in der Lage sein, täglich neue Dienste an ihre Kunden auszuspielen. Dieses Buch zeigt die dazu notwendigen Transformationen auf: Vom Aufbau einer tragfähigen Vision bis hin zur technologischen und organisatorischen Umsetzung im Unternehmen. Auf dieser Basis können sich die Automobilhersteller vom Blechbieger zum Techgiganten transformieren. In über 100 Fallbeispielen entlang der automobilen Wertschöpfungskette wird aufgezeigt, wo Künstliche Intelligenz einen Mehrwert liefern kann. Auf das autonome Fahren als wichtiger Enabler wird eingegangen sowie auf die wichtigsten Verfahren der Künstlichen Intelligenz, die für die Automobilindustrie relevant sind. Das Buch richtet sich an Entscheider in der Automobilindustrie, Studierende, Dozenten und alle, diesich ein Bild über eine der vielleicht größten industriellen Transformationen dieses Jahrhunderts machen möchten. Einführung: Die neue Wertschöpfungskette in der Automobilindustrie.- Auskuppeln: Prozesse optimieren mit Daten und künstlicher Intelligenz.- Gang einlegen: Mit KI die Einnahmequellen von morgen erschließen.- Beschleunigen: Die Transformation zum AI-first IT Giganten meistern.- Unter der Haube: Reale Fallbeispiele und Einsichten in den Transformationsalltag.
Electronics Projects with the ESP8266 and ESP32
Discover the powerful ESP8266 and ESP32 microcontrollers and their Wi-Fi communication. The ESP32 microcontroller features Bluetooth and BLE communication in addition to Wi-Fi. The book emphasizes practical projects and readers are guided through Wi-Fi and Bluetooth communication, mobile app design and build, ESP-NOW and LoRa communication, and signal generation.Projects throughout the book utilize the Wi-Fi functionality and processing power of the ESP microcontrollers. Projects are built in the Arduino IDE, so you don't need to download other programming software. Mobile apps are now ubiquitous, making the app build projects of the book very relevant, as are the web page design projects.In Electronics Projects with the ESP8266 and ESP32, you'll see how easy and practical it is to access information over the internet, develop web pages, build mobile apps to remotely control devices with speech recognition or incorporate Google Maps in a GPS route tracking app.You will· Build practical electronics projects with an ESP8266 or ESP32 microcontroller with Wi-Fi communication· Use the Wi-Fi function of the ESP8266 and ESP32 to update web pages· Communicate with your mobile phone or smart watch by Bluetooth Low Energy· Transmit and receive information to control remote devices over the internet· Understand the design and build of mobile apps for internet based applications· Apply your computer programming skills in C++, JavaScript, AJAX and JSON· Use WebSocket, MQTT brokers and IFTTT for fast two-way communication with webpagesWHO THIS BOOK IS FORThe target audience is for Makers and Tinkerers who want to build internet/intranet based applications with more powerful microcontrollers, such as the ESP8266 or ESP32. A level of C++ programming expertise with the Arduino IDE is assumed, although all sketches are fully described and comprehensively commented.Neil Cameron is an experienced analyst and programmer with a deep interest in understanding the application of electronics. Neil wrote the book 'Arduino Applied: Comprehensive Projects for Everyday Electronics'. He has previously taught at University of Edinburgh and Cornell University. Chapter 1: Internet radio• Station display and selection• Minimal internet radioChapter 2: Internet clock• WS2812 RGB LEDs responsive to sound• LED rings clock 24• Network Time ProtocolChapter 3: International weather station• Touch screen calibration• Painting on-screen• Weather data for several citiesChapter 4: Intranet camera• Save images to SD card• Load images on webpage• Stream images to webpageChapter 5: MP3 player• Control command for MP3 player• MP3 player control with Arduino• Infrared remote control of MP3 player• Creating sound tracks• Speaking clock• Voice recorderChapter 6: Bluetooth speakerChapter 7: ESP8266 local server• HTTP request• HTML code• XML HTTP requests, JavaScript and AJAXChapter 8: Updating a webpage• XML HTTP requests, JavaScript and AJAX• JSON• Accessing WWW data• Parsing text• Console log• Wi-Fi connectionChapter 9: WebSocket• Remote control of pan-tilt servo motors and WebSocket• Websocket and AJAX• Access images, time and sensor data over the internetChapter 10: Build an app• Control and feedback app• Install the app• Servo-robot control app• Speech recognition appChapter 11: App database and Google Maps• MIT App Inventor database• MIT App Inventor and Google MapsChapter 12: USB OTG apps• app receive• app transmit• app receive and transmitChapter 13: GPS and Google Maps• GPS position transmission• Validate transmission of GPS location• Improve GPS location signalChapter 14: Radio Frequency Communication• Transmitting and receiving text• Decode Remote Control Signals• Control Pan-Tilt Servos with RF Communication• Control relay with RF Communication• RelaysChapter 15: Signal generation• Signal generation• Digital to analog conversion• Generating waves• Port manipulation• 12-bit DACChapter 16: Signal generation with 555 integrated circuit• Monostable mode• Bistable mode• Astable mode• Variable duty cycle• 50% duty cycle• PWM mode• Function generator• Square wave to sine waveChapter 17: Measuring electricity• Analog to Digital Converter• Voltage meter• Resistance meter (ohmmeter)• Capacitance meter• Current meter (ammeter)• Current sensor• Solar panel and battery meter• Inductance meterChapter 18: Rotary encoder control• Interrupts• Debouncing• Square wave states• State switching• Incrementing a valueChapter 19: Saving data• Saving to EEPROM• Saving directly to ExcelChapter 20: Microcontrollers• Arduino Uno• Arduino Nano• Arduino Pro Micro• LOLIN (WeMos) D1 mini• Interrupts• Watchdog timer• ESP32• ESP32 analog input• ESP32 analog output• ESP32 pulse width modulation• ESP32 capacitive touch sensor• ESP32 Hall effect sensor• ESP32 RTC and sleep mode• ESP32 and interrupts• ESP32 Serial input• ESP32 Bluetooth communication• Wi-Fi communicationAppendixLibraries
Applied Data Science Using PySpark
Discover the capabilities of PySpark and its application in the realm of data science. This comprehensive guide with hand-picked examples of daily use cases will walk you through the end-to-end predictive model-building cycle with the latest techniques and tricks of the trade.Applied Data Science Using PySpark is divided unto six sections which walk you through the book. In section 1, you start with the basics of PySpark focusing on data manipulation. We make you comfortable with the language and then build upon it to introduce you to the mathematical functions available off the shelf. In section 2, you will dive into the art of variable selection where we demonstrate various selection techniques available in PySpark. In section 3, we take you on a journey through machine learning algorithms, implementations, and fine-tuning techniques. We will also talk about different validation metrics and how to use them for picking the best models. Sections 4 and 5 go through machine learning pipelines and various methods available to operationalize the model and serve it through Docker/an API. In the final section, you will cover reusable objects for easy experimentation and learn some tricks that can help you optimize your programs and machine learning pipelines.By the end of this book, you will have seen the flexibility and advantages of PySpark in data science applications. This book is recommended to those who want to unleash the power of parallel computing by simultaneously working with big datasets.WHAT YOU WILL LEARN* Build an end-to-end predictive model* Implement multiple variable selection techniques* Operationalize models* Master multiple algorithms and implementations WHO THIS BOOK IS FORData scientists and machine learning and deep learning engineers who want to learn and use PySpark for real-time analysis of streaming data.RAMCHARAN KAKARLA is currently lead data scientist at Comcast residing in Philadelphia. He is a passionate data science and artificial intelligence advocate with five+ years of experience. He holds a master’s degree from Oklahoma State University with specialization in data mining. Prior to OSU, he received his bachelor’s in electrical and electronics engineering from Sastra University in India. He was born and raised in the coastal town of Kakinada, India. He started his career working as a performance engineer with several Fortune 500 clients including State Farm and British Airways. In his current role he is focused on building data science solutions and frameworks leveraging big data. He has published several papers and posters in the field of predictive analytics. He served as SAS Global Ambassador for the year 2015.SUNDAR KRISHNAN is passionate about artificial intelligence and data science with more than five years of industrial experience. He has tremendous experience in building and deploying customer analytics models and designing machine learning workflow automation. Currently, he is associated with Comcast as a lead data scientist. Sundar was born and raised in Tamil Nadu, India and has a bachelor's degree from Government College of Technology, Coimbatore. He completed his master's at Oklahoma State University, Stillwater. In his spare time, he blogs about his data science works on Medium.CHAPTER 1: SETTING UP THE PYSPARK ENVIRONMENTChapter Goal: Introduce readers to the PySpark environment, walk them through steps to setup the environment and execute some basic operationsNumber of pages: 20Subtopics:1. Setting up your environment & data2. Basic operationsCHAPTER 2: BASIC STATISTICS AND VISUALIZATIONSChapter Goal: Introduce readers to predictive model building framework and help them acclimate with basic data operationsNumber of pages: 30Subtopics:1. Basic Statistics2. data manipulations/feature engineering3. Data visualizations4. Model building frameworkCHAPTER 3: VARIABLE SELECTIONChapter Goal: Illustrate the different variable selection techniques to identify the top variables in a dataset and how they can be implemented using PySpark pipelinesNumber of pages: 40Subtopics:1. Principal Component Analysis2. Weight of Evidence & Information Value3. Chi square selector4. Singular Value Decomposition5. Voting based approachCHAPTER 4: INTRODUCTION TO DIFFERENT SUPERVISED MACHINE ALGORITHMS, IMPLEMENTATIONS & FINE-TUNING TECHNIQUESChapter Goal: Explain and demonstrate supervised machine learning techniques and help the readers to understand the challenges, nuances of model fitting with multiple evaluation metricsNumber of pages: 40Subtopics:1. Supervised:· Linear regression· Logistic regression· Decision Trees· Random Forests· Gradient Boosting· Neural Nets· Support Vector Machine· One Vs Rest Classifier· Naive Bayes2. Model hyperparameter tuning:· L1 & L2 regularization· Elastic netCHAPTER 5: MODEL VALIDATION AND SELECTING THE BEST MODELChapter Goal: Illustrate the different techniques used to validate models, demonstrate which technique should be used for a particular model selection task and finally pick the best model out of the candidate modelsNumber of pages: 30Subtopics:1. Model Validation Statistics:· ROC· Accuracy· Precision· Recall· F1 Score· Misclassification· KS· Decile· Lift & Gain· R square· Adjusted R square· Mean squared errorCHAPTER 6: UNSUPERVISED AND RECOMMENDATION ALGORITHMSChapter Goal: The readers explore a different set of algorithms – Unsupervised and recommendation algorithms and the use case of when to apply themNumber of pages: 30Subtopics:1. Unsupervised:· K-Means· Latent Dirichlet Allocation2. Collaborative filtering using Alternating least squaresCHAPTER 7: END TO END MODELING PIPELINESChapter Goal: Exemplify building the automated model framework and introduce reader to a end to end model building pipeline including experimentation and model trackingNumber of pages: 40Subtopics:1. ML FlowCHAPTER 8: PRODUCTIONALIZING A MACHINE LEARNING MODELChapter Goal: Demonstrate multiple model deployment techniques that can fit and serve variety of real-world use casesNumber of pages: 60Subtopics:1. Model Deployment using hdfs object2. Model Deployment using Docker3. Creating a simple Flask APICHAPTER 9: EXPERIMENTATIONSChapter Goal: The purpose of this chapter is to introduce hypothesis testing and use cases, optimizations for experiment-based data science applicationsNumber of pages: 40Subtopics:1. Hypothesis testing2. Sampling techniquesCHAPTER 10: OTHER TIPS: OPTIONALChapter Goal: This bonus chapter is optional and will offer reader some handy tips and tricks of the tradeNumber of pages: 20Subtopics:1. Tips on when to switch between python and PySpark2. Graph networks
Ontologies with Python
Use ontologies in Python, with the Owlready2 module developed for ontology-oriented programming. You will start with an introduction and refresher on Python and OWL ontologies. Then, you will dive straight into how to access, create, and modify ontologies in Python. Next, you will move on to an overview of semantic constructs and class properties followed by how to perform automatic reasoning. You will also learn about annotations, multilingual texts, and how to add Python methods to OWL classes and ontologies. Using medical terminologies as well as direct access to RDF triples is also covered.Python is one of the most used programming languages, especially in the biomedical field, and formal ontologies are also widely used. However, there are limited resources for the use of ontologies in Python. Owlready2, downloaded more than 60,000 times, is a response to this problem, and this book is the first one on the topic of using ontologies with Python.WHAT YOU WILL LEARN* Use Owlready2 to access and modify OWL ontologies in Python* Publish ontologies on dynamic websites* Perform automatic reasoning in PythonUse well-known ontologies, including DBpedia and Gene Ontology, and terminological resources, such as UMLS (Unified Medical Language System)* Integrate Python methods in OWL ontologiesWHO IS THIS BOOK FORBeginner to experienced readers from biomedical sciences and artificial intelligence fields would find the book useful.Lamy Jean-Baptiste is a senior lecturer at Paris 13 University and a member of the LIMICS, a research lab focused on biomedical informatics. He is also the developer of the Owlready2 Python module that allows access to OWL ontologies. He has developed many research prototypes, and one of them (VCM iconic medical language) has been patented in the US, with three licenses sold to industrial partners.Lamy speaks regularly at artificial intelligence and medical informatics conferences, has written over 50 journal papers, and is a moderator on the Owlready forum on Nabbles. He was awarded the best paper award at MEDINFO 2019, the largest international conference in medical informatics.Chapter 1: Introduction1. Who is this book for?2. Why ontologies?3. Why Python?4. Why Owlready?5. Book outline6. AcknowledgementsChapter 2: Python Language: Adopt a Snake!1. Installing Python2. Starting Python3. Syntax4. Main datatypes5. Conditions (if)6. Loops (for)7. Generators8. Functions (def)9. Classes (class)10. Python modules11. Installing Owlready212. SummaryChapter 3: OWL Ontologies1. An ontology... what does it look like?2. Creating ontologies manually with the Protégé editor3. Example: An ontology of bacteria4. Creating a new ontology• Classes• Disjoints• Partitions • Data properties• Object properties• Restrictions• Union, intersection, and complement• Definitions (equivalent to relations)• Individuals• Other constructs5. Automatic reasoning6. Modeling exercises7. SummaryChapter 4: Accessing Ontologies in Python1. Importing Olwready2. Loading an ontology3. Imported ontologies4. Listing the content of the ontology5. Accessing to entities• Individuals• Relations• Classes• Existential restrictions• Properties6. Searching for entities7. Huge ontologies and disk cache8. Namespaces9. Modifying entity rendering as text10. Local directory of ontologies11. Reloading an ontology in the quadstore12. Example: Creating a dynamic website from an ontology13. SummaryChapter 5: Creating and Modifying Ontologies in Python1. Creating an empty ontology 2. Creating classes3. Creating properties4. Creating individuals5. Modifying entities: Relations and existential restrictions6. Creating entities within a namespace7. Renaming entities (refactoring)8. Multiple definitions and forward declarations9. Destroying entities10. Destroying an ontology11. Saving an ontology12. Importing ontologies13. Synchronization14. Example: Populating an ontology from a CSV file15. SummaryChapter 6: Constructs, Restrictions, Class Properties1. Creating constructs2. Accessing constructs parameters3. Restrictions as class properties4. Defined classes5. Example: Creating the ontology of bacteria in Python6. Example: Populating an ontology with defined classes7. SummaryChapter 7: Automatic Reasoning1. Disjoints2. Open-world assumption3. Reasoning in a closed world, or in a local closed world4. Inconsistent classes and inconsistent ontologies5. Restriction and reasoning on numbers and strings6. SWRL rules7. Example: An ontology-based decision support system8. SummaryChapter 8: Annotations, Multilingual Texts and Full Text Search1. Annotating entities2. Multilingual texts3. Annotating constructs4. Annotating properties and relations5. Creating new annotation classes6. Ontology metadata7. Full text search8. Example: Using DBpedia in Python• Loading DBpedia• A search engine for Dbpedia9. SummaryChapter 9: Using Medical Terminologies with PyMedTermino and UMLS1. UMLS2. Importing terminologies from UMLS3. Loading terminologies after initial importation4. Using ICD105. Using SNOMED CT6. Using UMLS unified concepts (CUI)7. Transcoding between terminologies8. Manipulating sets of concepts9. Importing all terminologies in UMLS10. Example: Linking the ontology of bacteria with UMLS11. Example: A multi-terminology browser12. SummaryChapter 10: Mixing Python and OWL1. Adding Python methods to OWL classes2. Associating a Python module to an ontology• Manual import• Automatic import3. Polymorphism with type inference4. Introspection5. Reading restrictions backward6. Example: using Gene Ontology and managing part-of relations7. Example: A “dating site” for proteins8. SummaryChapter 11: Working with RDF Triples and Worlds1. RDF triples2. Manipulating RDF triples with RDFlib3. Performing SPARQL requests4. Accessing RDF triples with Owlready5. Interrogating the SQLite3 database directly6. Creating several, isolated, world7. SummaryAnnex A: Description logicsAnnex B: Notations for formal ontologiesAnnex C: Reference manual
Samsung Galaxy A21s
Die verständliche Anleitung für Ihr Smartphone:- Alle Funktionen & Einstellungen auf einen Blick- Schritt für Schritt erklärt – mit praktischen TippsMit diesem smarten Praxisbuch gelingt Ihnen der schnelle und sichere Einstieg in Ihr Smartphone. Lernen Sie Ihr Handymodell von Grund auf kennen und beherrschen! Anschauliche Anleitungen, Beispiele und Bilder zeigen Ihnen gut nachvollziehbar, wie Sie Ihr mobiles Gerät optimal handhaben – von der Ersteinrichtung und Personalisierung über die große Funktionsvielfalt bis zu den wichtigsten Anwendungen. Nutzen Sie darüber hinaus die übersichtlichen Spicker-Darstellungen: Damit können Sie jene Bedienungsschritte, die man am häufigsten braucht, aber immer wieder vergisst, auf einen Blick finden und umsetzen. Freuen Sie sich auf viele hilfreiche Tipps und legen Sie ganz einfach los!Aus dem Inhalt:- Alle Bedienelemente des Smartphones auf einen Blick- Ersteinrichtung und Tipps zum Umzug- Google-Konto erstellen und verwalten- Die Benutzeroberfläche Ihres Smartphones personalisieren- Apps aus dem Play Store herunterladen- Kontakte anlegen und im Adressbuch verwalten- Anrufe tätigen und SMS austauschen - Nachrichten über Mail und WhatsApp versenden und empfangen- Uhr, Kalender, Maps und andere praktische Apps nutzen - Fotos sowie Videos aufnehmen, verwalten und teilen- Ins Internet gehen über WLAN und mobile Daten - Updates, Datenschutz und Sicherheit
Linux Command Line and Shell Scripting Bible
ADVANCE YOUR UNDERSTANDING OF THE LINUX COMMAND LINE WITH THIS INVALUABLE RESOURCELinux Command Line and Shell Scripting Bible, 4th Edition is the newest installment in the indispensable series known to Linux developers all over the world. Packed with concrete strategies and practical tips, the latest edition includes brand-new content covering:* Understanding the Shell * Writing Simple Script Utilities * Producing Database, Web & Email Scripts * Creating Fun Little Shell Scripts Written by accomplished Linux professionals Christine Bresnahan and Richard Blum, Linux Command Line and Shell Scripting Bible, 4th Edition teaches readers the fundamentals and advanced topics necessary for a comprehensive understanding of shell scripting in Linux. The book is filled with real-world examples and usable scripts, helping readers navigate the challenging Linux environment with ease and convenience.The book is perfect for anyone who uses Linux at home or in the office and will quickly find a place on every Linux enthusiast’s bookshelf.RICHARD BLUM has over three decades of experience working as a system and network administrator. He is the author of several Linux books and is an accomplished online Linux instructor.CHRISTINE BRESNAHAN is an Adjunct Professor at Ivy Tech Community College where she teaches Linux certification and Python classes. She is the author of several Linux books, including the CompTIA Linux+ Study Guide, Fourth Edition.Acknowledgments xiPART I: THE LINUX COMMAND LINE 1CHAPTER 1: STARTING WITH LINUX SHELLS 3Investigating Linux 3Looking into the Linux kernel 4System memory management 5Software program management 6Hardware management 8Filesystem management 8The GNU utilities 9The core GNU utilities 10The shell 10The Linux desktop environment 11The X Window software 12The KDE Plasma desktop 12The GNOME desktop 13Other desktops 15Examining Linux Distributions 17Core Linux distributions 18Specialized Linux distributions 19Summary 20CHAPTER 2: GETTING TO THE SHELL 21Reaching the Command Line 21Console terminals 22Graphical terminals 22Accessing CLI via a Linux Console Terminal 23Accessing CLI via Graphical Terminal Emulation 26Using the GNOME Terminal Emulator 27Accessing GNOME Terminal 27The menu bar 32Using the Konsole Terminal Emulator 36Accessing Konsole 36The menu bar 38Using the xterm Terminal Emulator 42Accessing xterm 43Command-line parameters 44Summary 45CHAPTER 3: BASIC BASH SHELL COMMANDS 47Starting the Shell 47Using the Shell Prompt 48Interacting with the Bash Manual 49Navigating the Filesystem 53Looking at the Linux filesystem 53Traversing directories 57Using absolute directory references 57Using relative directory references 59Listing Files and Directories 60Displaying a basic listing 61Displaying a long listing 63Filtering listing output 64Handling Files 66Creating files 66Copying files 66Using command-line completion 69Linking files 69Renaming files 71Deleting files 73Managing Directories 74Creating directories 74Deleting directories 75Viewing File Contents 77Viewing the file type 77Viewing the whole file 78Using the cat command 78Using the more command 78Using the less command 80Viewing parts of a file 80Using the tail command 80Using the head command 82Summary 82CHAPTER 4: MORE BASH SHELL COMMANDS 85Monitoring Programs 85Peeking at the processes 85Unix-style parameters 86BSD-style parameters 89The GNU long parameters 91Real-time process monitoring 93Stopping processes 95The kill command 95The pkill command 96Monitoring Disk Space 96Mounting media 97The mount command 97The umount command 99Using the df command 100Using the du command 101Working with Data Files 102Sorting data 102Searching for data 106Compressing data 108Archiving data 109Summary 111CHAPTER 5: UNDERSTANDING THE SHELL 113Investigating Shell Types 113Exploring Parent and Child Shell Relationships 117Looking at process lists 121Creatively using subshells 123Investigating background mode 123Putting process lists into the background 125Looking at co-processing 126Understanding External and Built-In Commands 127Looking at external commands 128Looking at built-in commands 129Using the history command 130Using command aliases 134Summary 135CHAPTER 6: USING LINUX ENVIRONMENT VARIABLES 137Exploring Environment Variables 137Looking at global environment variables 138Looking at local environment variables 140Setting User-Defined Variables 141Setting local user-defined variables 141Setting global environment variables 142Removing Environment Variables 144Uncovering Default Shell Environment Variables 145Setting the PATH Environment Variable 150Locating System Environment Variables 152Understanding the login shell process 152Viewing the /etc/profi le file 152Viewing the $HOME startup files 156Understanding the interactive shell process 157Understanding the noninteractive shell process 158Making environment variables persistent 159Learning about Variable Arrays 159Summary 161CHAPTER 7: UNDERSTANDING LINUX FILE PERMISSIONS 163Exploring Linux Security 163The /etc/passwd file 164The /etc/shadow file 165Adding a new user 166Removing a user 169Modifying a user 169usermod 170passwd and chpasswd 170chsh, chfn, and chage 171Using Linux Groups 173The /etc/group file 173Creating new groups 174Modifying groups 175Decoding File Permissions 176Using file permission symbols 176Default file permissions 178Changing Security Settings 179Changing permissions 180Changing ownership 181Sharing Files 182Access Control Lists 184Summary 186CHAPTER 8: MANAGING FILESYSTEMS 189Exploring Linux Filesystems 189Exploring the Linux filesystem evolution 190Looking at the ext filesystem 190Looking at the ext2 filesystem 190Digging into journaling filesystems 191Looking at the ext3 filesystem 191Looking at the ext4 filesystem 191Looking at the JFS filesystem 192Looking at ReiserFS 192Looking at XFS 192Understanding the volume-managing filesystems 192Looking at the ZFS filesystem 193Looking at the Btrfs filesystem 193Looking at the Stratis filesystem 193Working with Filesystems 194Creating partitions 194Looking at the fdisk utility 194Working with gdisk 197The GNU parted command 198Creating a filesystem 199Checking and repairing a filesystem 201Managing Logical Volumes 202Exploring LVM layout 203Physical volume 203Volume group 203Logical volume 203Understanding the LVM in Linux 203Create the PVs 204Create a VG 204Create an LV 205Using the Linux LVM 206Format and mount an LV 206Growing or shrinking your VGs and LVs 206Summary 207CHAPTER 9: INSTALLING SOFTWARE 209Exploring Package Management 209Inspecting the Debian-Based Systems 210Managing packages with apt 211Installing software packages with apt 213Upgrading software with apt 215Uninstalling software with apt 216The apt repositories 218The Red Hat–Based Systems 220Listing installed packages 220Installing software with dnf 221Upgrading software with dnf 223Uninstalling software with dnf 223Dealing with broken dependencies 223RPM repositories 224Managing Software Using Containers 225Using snap containers 225Using flatpak containers 227Installing from Source Code 229Summary 232CHAPTER 10: WORKING WITH EDITORS 235Visiting the vim Editor 235Checking your vim package 236Exploring vim basics 237Editing data 240Copying and pasting 240Searching and substituting 241Navigating the nano Editor 242Exploring the Emacs Editor 244Checking your Emacs package 245Using Emacs on the console 246Exploring the basics of Emacs 247Editing data 248Copying and pasting 249Searching and replacing 249Using buffers in Emacs 250Using windows in console mode Emacs 251Using Emacs in a GUI 252Exploring the KDE Family of Editors 253Looking at the KWrite editor 253Looking at the Kate editor 259Exploring the GNOME Editor 263Starting gedit 264Understanding basic gedit features 265Managing plugins 268Summary 271PART II: SHELL SCRIPTING BASICS 273CHAPTER 11: BASIC SCRIPT BUILDING 275Using Multiple Commands 275Creating a Script File 276Displaying Messages 278Using Variables 279Environment variables 280User variables 281Command substitution 283Redirecting Input and Output 284Output redirection 285Input redirection 285Employing Pipes 287Performing Math 289The expr command 290Using brackets 292A floating-point solution 293The basics of bc 293Using bc in scripts 295Exiting the Script 297Checking the exit status 297The exit command 298Working through a Practical Example 300Summary 301CHAPTER 12: USING STRUCTURED COMMANDS 303Working with the if-then Statement 303Exploring the if-then-else Statement 306Nesting ifs 307Trying the test Command 311Using numeric comparisons 313Using string comparisons 314Looking at string equality 315Looking at string order 316Looking at string size 318Using file comparisons 320Checking directories 320Checking whether an object exists 321Checking for a file 322Checking for read access 324Checking for empty files 325Checking whether you can write to a file 326Checking whether you can run a file 327Checking ownership 328Checking default group membership 329Checking file date 330Considering Compound Testing 331Working with Advanced if-then Features 332Using single parentheses 332Using double parentheses 333Using double brackets 335Considering the case Command 335Working through a Practical Example 337Summary 343CHAPTER 13: MORE STRUCTURED COMMANDS 345Looking at the for Command 345Reading values in a list 346Reading complex values in a list 347Reading a list from a variable 349Reading values from a command 350Changing the field separator 351Reading a directory using wildcards 352Trying the C-Style for Command 354The C language for command 355Using multiple variables 356Exploring the while Command 357Basic while format 357Using multiple test commands 358Using the until Command 359Nesting Loops 361Looping on File Data 364Controlling the Loop 365The break command 365Breaking out of a single loop 365Breaking out of an inner loop 366Breaking out of an outer loop 367The continue command 368Processing the Output of a Loop 371Working through a Few Practical Examples 372Finding executable files 373Creating multiple user accounts 374Summary 375CHAPTER 14: HANDLING USER INPUT 377Passing Parameters 377Reading parameters 377Reading the script name 380Testing parameters 381Using Special Parameter Variables 382Counting parameters 382Grabbing all the data 384Being Shifty 386Working with Options 388Finding your options 388Processing simple options 388Separating options from parameters 389Processing options with values 391Using the getopt command 392Looking at the command format 392Using getopt in your scripts 393Advancing to getopts 395Standardizing Options 398Getting User Input 399Reading basics 399Timing Out 401Reading with no display 402Reading from a file 403Working through a Practical Example 404Summary 408CHAPTER 15: PRESENTING DATA 411Understanding Input and Output 411Standard file descriptors 412STDIN 412STDOUT 413STDERR 414Redirecting errors 414Redirecting errors only 414Redirecting errors and data 415Redirecting Output in Scripts 416Temporary redirections 416Permanent redirections 417Redirecting Input in Scripts 418Creating Your Own Redirection 419Creating output file descriptors 419Redirecting file descriptors 420Creating input file descriptors 421Creating a read/write file descriptor 422Closing file descriptors 423Listing Open File Descriptors 424Suppressing Command Output 426Using Temporary Files 427Creating a local temporary file 427Creating a temporary file in /tmp 428Creating a temporary directory 429Logging Messages 430Working through a Practical Example 431Summary 433CHAPTER 16: SCRIPT CONTROL 435Handling Signals 435Signaling the Bash shell 435Generating signals 436Interrupting a process 436Pausing a process 437Trapping signals 438Trapping a script exit 440Modifying or removing a trap 441Running Scripts in Background Mode 443Running in the background 443Running multiple background jobs 445Running Scripts without a Hang-up 447Controlling the Job 448Viewing jobs 448Restarting stopped jobs 450Being Nice 451Using the nice command 452Using the renice command 453Running like Clockwork 454Scheduling a job using the at command 454Understanding the at command format 454Retrieving job output 455Listing pending jobs 457Removing jobs 457Scheduling regular scripts 458Looking at the cron table 458Building the cron table 459Viewing cron directories 460Looking at the anacron program 460Starting scripts with a new shell 462Working through a Practical Example 463Summary 469PART III: ADVANCED SHELL SCRIPTING 471CHAPTER 17: CREATING FUNCTIONS 473Exploring Basic Script Functions 473Creating a function 474Using functions 474Returning a Value from a Function 477The default exit status 477Using the return command 478Using function output 479Using Variables in Functions 480Passing parameters to a function 480Handling variables in a function 482Global variables 483Local variables 484Investigating Array Variables and Functions 485Passing arrays to functions 485Returning arrays from functions 487Considering Function Recursion 488Creating a Library 489Using Functions on the Command Line 491Creating functions on the command line 491Defining functions in the bashrc file 492Directly defining functions 492Sourcing function files 493Working Through a Practical Example 494Downloading and installing 494Building the library 495The shtool library functions 496Using the library 497Summary 497CHAPTER 18: WRITING SCRIPTS FOR GRAPHICAL DESKTOPS 499Creating Text Menus 499Create the menu layout 499Create the menu functions 501Add the menu logic 502Putting it all together 502Using the select command 504Doing Windows 505The dialog package 506The msgbox widget 507The yesno widget 508The inputbox widget 508The textbox widget 510The menu widget 511The fselect widget 512The dialog options 513Using the dialog command in a script 515Getting Graphic 516The KDE environment 517kdialog widgets 517Using kdialog 519The GNOME environment 521zenity Widgets 521Using zenity in scripts 523Working Through a Practical Example 525Summary 529CHAPTER 19: INTRODUCING SED AND GAWK 531Manipulating Text 531Getting to know the sed editor 532Defining an editor command in the command line 533Using multiple editor commands in the command line 534Reading editor commands from a file 534Getting to know the gawk program 535Visiting the gawk command format 536Reading the program script from the command line 536Using data field variables 537Using multiple commands in the program script 538Reading the program from a file 539Running scripts before processing data 539Running scripts after processing data 540Looking at the sed Editor Basic Commands 542Introducing more substitution options 542Substituting flags 542Replacing characters 543Using addresses 544Addressing the numeric line 544Using text pattern filters 545Grouping commands 546Deleting lines 547Inserting and appending text 549Changing lines 551Transforming characters 552Printing revisited 553Printing lines 554Printing line numbers 555Listing lines 555Using files with sed 556Writing to a file 556Reading data from a file 557Working Through a Practical Example 559Summary 564CHAPTER 20: REGULAR EXPRESSIONS 565Exploring Regular Expressions 565A definition 565Types of regular expressions 567Defining BRE Patterns 567Plain text 567Special characters 569Anchor characters 570Starting at the beginning 570Looking for the ending 571Combining anchors 572The dot character 572Character classes 573Negating character classes 575Using ranges 576Special character classes 577The asterisk 578Trying Out Extended Regular Expressions 579The question mark 579The plus sign 580Using braces 581The pipe symbol 582Grouping expressions 583Working Through Some Practical Examples 584Counting directory files 584Validating a phone number 585Parsing an email address 587Summary 589CHAPTER 21: ADVANCED SED 591Looking at Multiline Commands 591Navigating the next command 592Using the single-line next command 592Combining lines of text 593Navigating the multiline delete command 595Navigating the multiline print command 596Holding Space 598Negating a Command 599Changing the Flow 602Branching 603Testing 605Replacing via a Pattern 606Using the ampersand 606Replacing individual words 607Placing sed Commands in Scripts 608Using wrappers 608Redirecting sed output 609Creating sed Utilities 610Spacing with double lines 610Spacing files that may have blanks 611Numbering lines in a file 612Printing last lines 613Deleting lines 614Deleting consecutive blank lines 615Deleting leading blank lines 616Deleting trailing blank lines 616Removing HTML tags 617Working Through a Practical Example 619Summary 624CHAPTER 22: ADVANCED GAWK K 627Using Variables 627Built-in variables 628The field and record separator variables 628Data variables 631User-defined variables 634Assigning variables in scripts 634Assigning variables on the command line 635Working with Arrays 636Defining array variables 636Iterating through array variables 637Deleting array variables 638Considering Patterns 638Regular expressions 639The matching operator 639Mathematical expressions 640Structured Commands 641The if statement 641The while statement 643The do-while statement 644The for statement 645Printing with Formats 645Using Built-in Functions 648Mathematical functions 649String functions 650Time functions 652Trying Out User-Defined Functions 653Defining a function 653Using your functions 654Creating a function library 654Working Through a Practical Example 655Summary 657CHAPTER 23: WORKING WITH ALTERNATIVE SHELLS 659Considering the Dash Shell 659Looking at the Dash Shell Features 661The Dash command-line parameters 661The Dash environment variables 662Default environment variables 662Positional parameters 663User-defined environment variables 663The Dash built-in commands 664Scripting in Dash 665Creating Dash scripts 665Things that won’t work 665Using arithmetic 666The test command 666The function command 667Exploring the zsh Shell 668Viewing Parts of the zsh shell 668Shell options 669Built-in commands 670Core built-in commands 670Add-in modules 673Viewing, adding, and removing modules 673Scripting with zsh 674Mathematical operations 674Performing calculations 674Mathematical functions 675Structured commands 676Functions 677Working Through a Practical Example 677Summary 678PART IV: CREATING AND MANAGING PRACTICAL SCRIPTS 679CHAPTER 24: WRITING SIMPLE SCRIPT UTILITIES 681Performing Backups 681Backing up files daily 682Obtaining the required functions 682Creating a daily archive location 685Creating a daily backup script 686Running the daily archive script 688Creating an hourly archive script 689Running the hourly archive script 692Managing Account Deletion 693Obtaining the required functions 693Getting the correct account name 693Creating a function to get the correct account name 695Verifying the entered account name 696Determining whether the account exists 698Removing any account processes 699Finding account files 702Removing the account 702Creating the script 703Running the script 708Monitoring Your System 710Obtaining the default shell audit functions 710Obtaining the permission audit functions 714Creating the script 716Running the script 719Summary 721CHAPTER 25: GETTING ORGANIZED 723Understanding Version Control 723Working directory 724Staging area 725Looking at the local repository 725Exploring a remote repository 726Branching 726Cloning 726Using Git for VCS 727Setting Up Your Git Environment 727Committing with Git 732Summary 739Appendix A: Quick Guide to Bash Commands 741Appendix B: Quick Guide to sed and gawk 755Index 767
Deep Learning on Windows
Build deep learning and computer vision systems using Python, TensorFlow, Keras, OpenCV, and more, right within the familiar environment of Microsoft Windows. The book starts with an introduction to tools for deep learning and computer vision tasks followed by instructions to install, configure, and troubleshoot them. Here, you will learn how Python can help you build deep learning models on Windows.Moving forward, you will build a deep learning model and understand the internal-workings of a convolutional neural network on Windows. Further, you will go through different ways to visualize the internal-workings of deep learning models along with an understanding of transfer learning where you will learn how to build model architecture and use data augmentations. Next, you will manage and train deep learning models on Windows before deploying your application as a web application. You’ll also do some simple image processing and work with computer vision options that will help you build various applications with deep learning. Finally, you will use generative adversarial networks along with reinforcement learning.After reading Deep Learning on Windows, you will be able to design deep learning models and web applications on the Windows operating system.WHAT YOU WILL LEARN* Understand the basics of Deep Learning and its historyGet Deep Learning tools working on Microsoft Windows* Understand the internal-workings of Deep Learning models by using model visualization techniques, such as the built-in plot_model function of Keras and third-party visualization tools* Understand Transfer Learning and how to utilize it to tackle small datasets* Build robust training scripts to handle long-running training jobs* Convert your Deep Learning model into a web application* Generate handwritten digits and human faces with DCGAN (Deep Convolutional Generative Adversarial Network)* Understand the basics of Reinforcement LearningWHO THIS BOOK IS FORAI developers and enthusiasts wanting to work on the Windows platform.THIMIRA AMARATUNGA is an Inventor, a Senior Software Architect at Pearson PLC Sri Lanka with over 12 years of industry experience, and a researcher in AI, Machine Learning, and Deep Learning in Education and Computer Vision domains.Thimira holds a Master of Science in Computer Science with a Bachelor's degree in Information Technology from the University of Colombo, Sri Lanka. He has filed three patents to date, in the fields of dynamic neural networks and semantics for online learning platforms. Before this, Thimira has published two books on deep learning – ‘Build Deeper: The Deep Learning Beginners’ Guide’ and ‘Build Deeper: The Path to Deep Learning’.Thimira is also the author of Codes of Interest (www.codesofinterest.com), a portal for deep learning and computer vision knowledge, covering everything from concepts to step-by-step tutorials.LinkedIn: www.linkedin.com/in/thimira-amaratungaCHAPTER 1: WHERE TO START YOUR DEEP LEARNINGCHAPTER GOAL: Learn about what tools are available for deep learning and computer vision tasks. Learn about what consideration the reader needs to make about the tools, OS, and hardware.NO OF PAGES: 20SUB - TOPICS1. Can We Build Deep Learning Models on Windows?2. Programming Language – Python3. Package and Environment Management – Anaconda4. Python Utility Libraries for Deep Learning and Computer Vision5. Deep Learning Frameworks6. Computer Vision Libraries7. Optimizers and Accelerators8. What About Hardware?9. Recommended PC Hardware ConfigurationsChapter 2: Setting Up Your ToolsCHAPTER GOAL: Step-by-step instructions on how to install, configure and troubleshoot the required tools.NO OF PAGES: 35SUB - TOPICS:1. Installing Visual Studio with C++ Support2. Installing CMake3. Installing Anaconda Python4. Setting up the Conda Environment and the Python Libraries5. Installing TensorFlow6. Installing Keras multi-backend version7. Installing OpenCV8. Installing Dlib9. Verify Installations10. Optional Steps11. Troubleshooting12. SummaryChapter 3: Building Your First Deep Learning Model In WindowsCHAPTER GOAL: A step-by-step coding guide to building the first ‘hello world’ convolutional neural network image classification model.NO OF PAGES: 20SUB - TOPICS:1. What is the MNIST Dataset?2. The LeNet Model3. Let us Build Our First Model4. Running Our Model5. What Can You Do Next?Chapter 4: Understanding What We BuiltChapter Goal: Learn the internal workings of a convolutional neural network.NO OF PAGES: 20SUB - TOPICS:1. Digital Images2. Convolutions3. Non-Linearity Function4. Pooling5. Classifier (Fully Connected Layer)6. How Does This All Come Together?Chapter 5: Visualizing ModelsCHAPTER GOAL: Understand ways to visualize the internal workings of deep learning models, allowing the reader to use that knowledge to build complex models.No of pages: 20SUB - TOPICS:1. Why Visualizing Models is Useful2. Using the plot_model Function of Keras3. Using Netron to Visualize Model Structures4. Visualizing Convolutional FiltersCHAPTER 6: TRANSFER LEARNINGCHAPTER GOAL: Building deep learning systems that solves a practical problem is usually made hard due to the difficulty of collecting and managing training data. It is usually also hard to determine a model architecture for a given task from scratch. Here, the readers are introduced to the concept of transfer learning, which provides some solutions for those scenarios.NO OF PAGES: 45SUB - TOPICS:1. The Problem with Little Data2. Using Data Augmentations3. Build an Image Classification Model with Data Augmentation4. Bottleneck Features5. Using Bottleneck Features with a Pre-trained VGG16 Model6. Going Further with Model Fine-tuning7. Fine-tuning our VGG16 Model8. Trying out a Deeper Model – InceptionV3Chapter 7: Starting, Stopping. and Resuming LearningCHAPTER GOAL: Training deep learning models takes time: hours, maybe days. It may not be practical to perform the training in one go. This chapter shows ways on how to manage those situations.No of pages: 15SUB - TOPICS:1. Managing Long Running Training Jobs2. Using Model Checkpoints3. Resuming Training from a Checkpoint4. Knowing When to Stop Training5. Building a Robust Training ScriptChapter 8: Deploying Your Application as a Web ApplicationCHAPTER GOAL: Once the reader has built a deep learning model to perform a certain task, they should investigate options for deploying their model. This chapter gives some ideas for model deployment.NO OF PAGES: 20SUB - TOPICS:1. Getting Your Trained Models to Work2. Setting up Flask3. Designing Your Web Application4. Building Your Deep Learning Web Application5. Scaling Up Your Web ApplicationChapter 9: Having Fun with Computer VisionCHAPTER GOAL: A chapter on some basic image processing and computer vision options, techniques, and tricks that would help the reader when building various applications with deep learning.NO OF PAGES: 20SUB - TOPICS:1. What we Need?2. Basics of Working with Images3. Working with Video – Using Webcams4. Working with Video – Using Video Files5. Detecting Faces in Images6. Detecting Faces in Video7. Simple Real-time Deep Learning Object IdentificationChapter 10: Introduction to Generative Adversarial NetworksCHAPTER GOAL: Introducing the idea of Generative Adversarial Networks and their capabilities. Giving a small taste of what they can do with few coding examples.No of pages: 30SUB - TOPICS:1. Can an AI be Creative?2. The Story of the Artist and the Art Critic3. Generative Adversarial Networks4. Generating Handwritten Digits with DCGAN5. Can We Generate Something More Complex?6. What Else Can GANs Do?Chapter 11: Basics of Reinforcement LearningCHAPTER GOAL: Introduce the concept of Reinforcement Learning and how it can be applied to train models to solve problems and introduce the concept of game AI programming.NO OF PAGES: 25SUB - TOPICS:1. What is Reinforcement Learning2. What is OpenAI Gym?3. Setting up OpenAI Gym4. Solving the CartPole Problem5. Solving the MountainCar Problem6. What Can You Do Next?
Machine Learning and AI for Healthcare
This updated second edition offers a guided tour of machine learning algorithms and architecture design. It provides real-world applications of intelligent systems in healthcare and covers the challenges of managing big data.The book has been updated with the latest research in massive data, machine learning, and AI ethics. It covers new topics in managing the complexities of massive data, and provides examples of complex machine learning models. Updated case studies from global healthcare providers showcase the use of big data and AI in the fight against chronic and novel diseases, including COVID-19. The ethical implications of digital healthcare, analytics, and the future of AI in population health management are explored. You will learn how to create a machine learning model, evaluate its performance, and operationalize its outcomes within your organization. Case studies from leading healthcare providers cover scaling global digital services. Techniques are presented to evaluate the efficacy, suitability, and efficiency of AI machine learning applications through case studies and best practice, including the Internet of Things.You will understand how machine learning can be used to develop health intelligence–with the aim of improving patient health, population health, and facilitating significant care-payer cost savings.WHAT YOU WILL LEARN* Understand key machine learning algorithms and their use and implementation within healthcare* Implement machine learning systems, such as speech recognition and enhanced deep learning/AI* Manage the complexities of massive data* Be familiar with AI and healthcare best practices, feedback loops, and intelligent agentsWHO THIS BOOK IS FORHealth care professionals interested in how machine learning can be used to develop health intelligence – with the aim of improving patient health, population health and facilitating significant care-payer cost savings.ARJUN PANESAR is the founder of Diabetes Digital Media (DDM), the world’s largest diabetes community and provider of evidence-based digital health interventions. He holds an honors degree (MEng) in computing and artificial intelligence from Imperial College, London. He has a decade of experience in big data and affecting user outcomes, and leads the development of intelligent, evidence-based digital health interventions that harness the power of big data and machine learning to provide precision patient care to patients, health agencies, and governments worldwide.Arjun’s work has received international recognition and was featured by the BBC, Forbes, New Scientist, and The Times. He has received innovation, business, and technology awards, including being named the top app for prevention of type 2 diabetes.Arjun is an advisor to the Information School, at the University of Sheffield, Fellow to the NHS Innovation Accelerator, and was recognized by Imperial College as an Emerging Leader in 2020 for his contribution and impact to society.Chapter 1: Introduction: Learning for HealthcareChapter Goal: Introduction to book and topics to be coveredNo of pages 10Sub -Topics1. What is AI, data science, machine and deep learning2. The case for learning from data3. Evolution of big data/learning/Analytics 3.04. Practical examples of how data can be used to learn within healthcare settings5. ConclusionChapter 2: Big DataChapter Goal: To understand data required for learning and how to ensure valid data for outcome veracityNo of pages: 35Sub - Topics1. What is data, sources of data and what types of data is there? little vs big data and the advantages/disadvantages with such data sets. Structured vs. unstructured data.2. Massive data - management and complexities3. The key aspects required of data, in particular, validity to ensure that only useful and relevant information4. How to use big data for learning (use cases)5. Turning data into information – how to collect data that can be used to improve health outcomes and examples of how to collect such data6. Challenges faced as part of the use of big data7. Data governanceChapter 3: What is Machine learning?Chapter Goal: To introduce machine learning, identify/demystify types of learning and provide information of popular algorithms and their applicationsNo of pages: 45Sub - Topics:1. Introduction – what is learning?2. Differences/similarities between: what is AI, data science, machine learning, deep learning3. History/evolution of learning4. Learning algorithms – popular types/categories, complex examples of machine learning models, applications and their mathematical basis5. Software(s) used for learning6. Code samplesChapter 4: Machine Learning in HealthcareChapter Goal: A comprehensive understanding of key concepts related to learning systems and the practical application of machine learning within healthcare settingsNo of pages: 50Sub - Topics:1. Understanding Tasks, Performance and Experience to optimize algorithms and outcomes2. Identification of algorithms to be used in healthcare applications for: predictive analysis, perspective analysis, inference, modeling, probability estimation, NLP etc and common uses3. Real-time analysis and analytics4. Machine learning best practices5. Neural networks, ANNs, deep learning6. Code samplesChapter 5: Evaluating Learning for IntelligenceChapter Goal: To understand how to evaluate learning algorithms, how to choose the best evaluation technique/approach for analysisNo of pages: 301. How to evaluate machine learning systems2. Methodologies for evaluating outputs3. Improving your intelligence4. Advanced analytics5. Real-world examples of evaluationsChapter 6: Ethics of intelligenceChapter Goal: To understand the hurdles that must be addressed in AI/machine learning and also overcome on both a micro- and macro-level to enable enhanced health intelligenceNo of pages: 251. The benefits of big data and machine learning2. The disadvantages of big data and machine learning – who owns the data, distributing the data, should patients/people be told what the results are (e.g. data demonstrates risk of cancer)3. Data for good, or data for bad?4. Topics that require addressing in order to ensure ease, efficiency and safety of outputs5. Do we need to govern our intelligence?6. Example: COVID-19 response and data/privacy sharingChapter 7: The Future of HealthcareChapter Goal: Outline the direction of AI and machine/deep learning within healthcare and the future applications of intelligent systemsNo of pages: 301. Evidence-based medicine2. Patient data as the evidence base3. Healthcare disruption fueling innovation4. How generalisations on precise audiences enables personalized medicine5. Impact of data and IoT on realizing personalized medicine6. AI ethics7. ConclusionChapter 8: Case studiesChapter Goal: Real world applications of AI and machine/deep learning in healthcareNo of pages: 501. Real world case studies of organizations implementing machine learning and the challenges, methodologies, algorithms and analytics used to determine optimal performance/outcomes2. COVID-related case studies: how data was used, how rapid interventions were deployed, agile development methodolodies
Cloud-Based Microservices
Use this field guide as you transform your enterprise to combine cloud computing with a microservices architecture.The recent surge in the popularity of microservices in software development is mainly due to the agility it brings and its readiness for the cloud. The move to a microservices architecture on the cloud involves a gradual evolution in software development. Many enterprises are embarking on this journey, and are now looking for architects who are experienced in building microservices-based applications in the cloud.A master architect should be able to understand the business, identify growth hurdles, break a monolith, design microservices, foresee problems, overcome challenges, change processes, decipher CSP services, strategize cloudification, adopt innovations, secure microservices, prototype solutions, and envision the future. CLOUD-BASED MICROSERVICES provides you with the information you need to be successful in such an endeavor.WHAT YOU WILL LEARN* Be familiar with the challenges in microservices architecture and how to overcome them* Plan for a cloud-based architecture* Architect, build, and deploy microservices in the cloud* Know how security, operations, and support change in this architectureWHO THIS BOOK IS FOREngineers, architects, and those in DevSecOps attempting to move their enterprise software to take advantage of microservices and the cloud and be more nimbleCHANDRA RAJASEKHARAIAH has led multi-million dollar enterprise initiatives in cloud-based microservice development. For the past five years, he has also migrated giant enterprise monoliths to microservices-based applications on the cloud. He has more than 20 years of experience in the software engineering industry as a principal, enterprise architect, solutions architect, and software engineer. His experience includes multiple domains—retail, e-commerce, telecommunications, telematics, travel, electronic payments, automobile—and gives him a broad base to draw parallels, abstract problems, and create innovative solutions. He enjoys architecting, delivering, and supporting enterprise products.PREFACEWhat This Book isWhat This Book is NotCHAPTER 1: CASE STUDY: ENERGENCE CO.Managing Production and DistributionHardware and Software InfrastructureMonolithic Software SolutionsGrowth Opportunities and ObjectivesNext StepsFurther Related ReadingSummaryPoints to PonderCHAPTER 2: MICROSERVICES: WHAT AND WHY?OriginsMicroservices Architecture in a NutshellSuccessful Implementation of MicroservicesOrchestration and ChoreographyMicroservices Migration Plan for EnergenceBreaking a Monolith into ModulesBreaking Modules into Sub-modulesEstablishing Microservices ArchitectureAdvantages and Gains with MicroservicesFurther Related ReadingSummaryPoints to PonderCHAPTER 3: ARCHITECTURAL CHALLENGESIdentifying and Classifying ChallengesAC1: Dispersed Business LogicAC2: Lack of Distributed TransactionsOrchestrated DomainsChoreographed DomainsAC3: Inconsistent Dynamic Overall StateChallenges in Exchanging Data between MicroservicesProblems with ShardingAC4: Difficulty in Gathering Composite DataAC5: Difficulty in Debugging Failures and FaultsAC6: The v2 Dread – Difficulty in EvolvingFurther Related ReadingSummaryPoints to PonderCHAPTER 4: OVERCOMING ARCHITECTURAL CHALLENGESService CatalogSagas (Long-Running Transactions)Ignoring ErrorsCompensating Errors InlineCompensating Errors OfflineImplementing SagasMaintaining Global StatesThe Scenario of Dynamic Overall StateIntermittent-Peek OptionAlways-Listening OptionOther Options and Larger QuestionsCentralized ViewObservabilityContract TestingFurther Related ReadingSummaryPoints to PonderCHAPTER 5: PROCESS CHANGESContinuous IntegrationBuild and Integration EnvironmentsAutomated TestingPerformance TestingContinuous DeliveryInfrastructure as CodDevSecOpsFurther Related ReadingSummaryPoints to PonderCHAPTER 6: CLOUDIFICATION – STRATEGYOverall Setup for Microservices in CloudNetworking and ConnectivityRegions and ZonesComputeIntegrationDatabases and Traditional DatastoresSpecial-Purpose DatastoresCost AnalysisSummaryPoints to PonderCHAPTER 7: CLOUDIFICATION – CORE CONCEPTSVirtualization and ContainerizationContainer OrchestrationService MeshesTraffic ControlEstablishing and Securing CommunicationBuilding Overall ObservabilityChallenges and State of the Art of Service MeshesFaaS, aka, ServerlessStorage and Integration ServicesStorage ServicesIntegration ServicesFurther Related ReadingSummaryPoints to PonderCHAPTER 8: SECURING MICROSERVICES ON CLOUDSecuring MicroservicesReducing the Attack SurfaceSecuring ServicesSecuring Outgoing CommunicationSecuring Microservices on CloudAPI Gateways and Load BalancersIAM of CSPsSecuring Inter-Service CommunicationProcessing IntegrityTrusted BinariesTrusted ExecutionAvailabilityDR-Disaster RecoveryMulti-region SolutionsFurther Related ReadingSummaryPoints to PonderCHAPTER 9: MICROSERVICES, HERE AND BEYONDTrendsSupport and OperationsMicroservices on CloudChanging Security LandscapeAlternate ThoughtsMonoliths are Dead, Long Live the MonolithIN CLOSINGBIBLIOGRAPHYAPPENDIXCOMPARING CSPS
Immersive 3D Design Visualization
Discover the methods and techniques required for creating immersive design visualization for industry. This book proposes ways for industry-oriented design visualization from scratch. This includes fundamentals of creative and immersive technology; tools and techniques for architectural visualization; design visualization with Autodesk Maya; PBR integration; and texturing, material design, and integration into UE4 for immersive design visualization.You’ll to dive into design and visualization, from planning to execution. You will start with the basics, such as an introduction to design visualization as well as to the software you will be using. You will next learn to create assets such as virtual worlds and texturing, and integrate them with Unreal Engine 4. Finally, there is a capstone project for you to make your own immersive visualization scene.By the end of the book you’ll be able to create assets for use in industries such as game development, entertainment, architecture, design engineering, and digital education.WHAT YOU WILL LEARN* Gain the fundamentals of immersive design visualization* Master design visualization with Autodesk Maya* Study interactive visualization with UE4* Create your immersive design portfolio WHO THIS BOOK IS FORBeginning-intermediate learners from the fields of animation, visual art, and computer graphics as well as design visualization, game technology, and virtual reality integration.DR. ABHISHEK KUMAR is an assistant professor in the Department of Computer Science at the Institute of Science at Banaras Hindu University. He is an Apple Certified Associate, Adobe Education Trainer, and certified by Autodesk. He is actively involved in course development in animation and design engineering courses for various institutions and universities as they will be a future industry requirement. Dr. Kumar has published a number of research papers indexed in Scopus and Web of Science and covered a wide range of topics in various digital scientific areas (image analysis, visual identity, graphics, digital photography, motion graphics, 3D animation, visual effects, editing, and composition).He holds eight patents in the field of computer science, design and IoT. Dr. Kumar has completed professional studies related to animation, computer graphics, virtual reality, stereoscopy, filmmaking, visual effects, and photography from Norwich University of the Arts, the University of Edinburgh, and Wizcraft MIME and FXPHD, Australia.He is passionate about the media and entertainment industry, and has directed two animation short films. Dr. Kumar has trained more than 50,000 students across the globe from 153 countries (top five: India, Germany, United States, Spain, and Australia). His alumni have worked on movies such as Ra-One, Krissh, Dhoom, Life of Pi, the Avengers series, the Iron Man series, GI Joe 3D, 300, Alvin and the Chipmunks, Prince of Persia, Titanic 3D, the Transformers series, Bahubali 1 and 2, London Has Fallen, Warcraft, Aquaman 3D, Alita, and more.CHAPTER 1: DESIGN FOR CREATIVE AND IMMERSIVE TECHNOLOGY• Scope of this book• Topics covered• Design visualization• Emerging technologies (VR, AR, and MR)CHAPTER 2: TOOLS FOR ARCHITECTURAL VISUALIZATION• MAYA for design visualization• Substance for PBR texturing• Design visualization gamification (UE4)CHAPTER 3: 3D DESIGN WITH AUTODESK MAYA• Basics of modelling• Basics of unwrapping• Basics of Substance PainterCHAPTER 4: INTERACTIVE VISUALIZATION WITH UE4• Interface of UE4• Exploring toolsCHAPTER 5: CREATING VIRTUAL WORLDS• Modelling assetsCHAPTER 6: UNWRAPPING OUR ASSETS• Introduction to unwrapping• Unwrapping assetsCHAPTER 7: LIGHTMAP ANALYSIS AND CORRECTION• Creating Lightmap UVs• Static vs. dynamic lighting• Lightmap analysis, correction, and padding• Shader analysis and tweakingCHAPTER 8: PBR INTEGRATED TEXTURING• Importing and baking maps• Texturing various assetsCHAPTER 9: MATERIAL DESIGN AND INTEGRATION• Exporting for UE4• Importing into UE4• Material setupCHAPTER 10: REAL-TIME/EMISSIVE MATERIALS• Emissive workflow in Substance Painter• Emissive workflow in UE4CHAPTER 11: INTERACTION DESIGN IN VR ENGINE• Importing 3D assets• Object properties editorCHAPTER 12: UNREAL® ENGINE 4 FOR LEVEL DESIGN• Creating level• Documenting problems and errorsCHAPTER 13: DESIGN VISUALIZATION CAPSTONE PROJECT: TESTING AND FIXING ERRORS• Fixing errorsCHAPTER 14: DESIGN VISUALIZATION CAPSTONE PROJECT: AESTHETIC DEVELOPMENT• Completing level design• Lighting our sceneCHAPTER 15: IMMERSIVE DESIGN PORTFOLIO• Cleaning up• Testing with VR headsets• Thoughts and suggestions
Exploring Windows Presentation Foundation
Use the Windows Presentation Foundation (WPF) technology to develop Windows applications using C# and XAML for design. This book will get you through not only the basics, but also some of the more advanced concepts of WPF in .NET 5.The book starts with basic concepts such as window, page, text box, and message box as well as a sequence of common events and event handling in WPF. You will learn how to use various elements in WPF and deal with them in .NET 5. You will understand how to work with files and access them in WPF along with binding and MVVM (Model-View-View-Model). You will learn how to retrieve data from APIs, work in XAML, and understand where design and style properties should be applied in WPF.After reading this book you will be able to work on WPF and apply its concepts in .NET 5, .NET core, and the .NET framework.WHAT YOU WILL LEARN* Understand the basics of WPF: click event, inputs, and general setup* Work with WPF interface events and handling* Know how file handling works in WPF* Retrieve data from APIs in a modern wayWHO THIS BOOK IS FORDevelopers with basic knowledge of C#.TAURIUS LITVINAVICIUS is a businessman and technology expert based in Lithuania who has worked with various organizations in building and implementing projects in software development, sales, and other fields of business. He is responsible for technological improvements, development of new features, and general management. Taurius is also the director at the Conficiens solutio consulting agency where he supervises the development and maintenance of various projects and activities.CHAPTER 1 – GETTING STARTEDChapter goal: Understand the basic concepts of WPF, this will help the reader to easily practice the next concepts.Section 1 - Button and click eventSection 2 – Window and PageSection 3 – Text boxSection 4 – Message boxSection – Quick-exampleSection – Quick-exerciseCHAPTER 2 – EVENTSChapter goal: Understand the most common events and event handling in WPFSection 1 – Application eventsSection 2 – Mouse eventsSection 3 – Keyboard eventsSection 4 – Window eventsSection – Quick-exampleSection – Quick-exerciseCHAPTER 3 – UI ELEMENTSChapter goal: This chapter teaches how to use various elements in WPF, as well as how to deal with them in general.Section 1 – Progress barSection 2 – TabsSection 3 – Radio buttonSection 4 – Check boxSection 5 – SliderSection 6 – ImageSection 7 – Media elementSection 8 – MenuSection 9 – List viewSection 10 – Web browserSection 11 – CanvasSection 12 – Generate elements in C#Section 13 – Background tasksCHAPTER 4 – FILESChapter goal: Understand how to access files and save files in WPFSection 1 – Pick and saveSection – Quick-example (Image auto-resize)Section – Quick-exercise (Assign file name)CHAPTER 5 – BINDINGS AND MVVMChapter goal: Understand the concept of MVVM structure in WPFSection 1 – What is MVVM structure?Section 2 – Element to element bindingSection 3 – Introducing ViewModelSection 4 – Implementing modelsSection – Quick-exampleSection – Quick-exerciseCHAPTER 6 – XAMLChapter goal: Understand where design and style properties should be applied in WPFSection 1 – Window size and sizeSection 2 – Style templateSection – Quick-example (custom message box)Section – Quick-exercise