Programmierung
How to Make a Game
Get a head start on making your games efficiently by avoiding common design and development pitfalls. Video games combine art and programming; this unique position has opened up opportunities for many pitfalls. This book takes you through the fundamentals of game making and the usual mistakes and bad practices that can harm your games.We start with the common difficulties and challenges, ways to find the gaps, and game design. Next, we discuss game engines and other tools you need to choose while making a game, how you should choose them, and the design documents you need to make. We also cover simple but important tweaks in game mechanics as well as the look and feel of your game. We will also discuss conventions for naming, code structuring, project structuring, and coding.Your thought process will be guided in a way that you can look for the proper approach to make a successful game. The book sheds light upon how to improve the overall game experience and finalize the game for release. Along the journey, we will explore some interesting stories of games and mythology as well.By the end of the book, you will know about the basic life cycle of a game development process and how to not make a game.WHAT YOU WILL LEARN* Discover the fundamentals of game design * See some intermediate coding tricks to make your games better* Grasp the pitfalls to avoid while designing and programming games* Master the different conventions and practices for file naming and structuring your projects WHO THIS BOOK IS FORPeople who want to make games. Basic programming experience is assumed.MINHAZ-US-SALAKEEN FAHME is the co-founder and CEO of Battery Low Interactive Ltd—a company that makes wishes come true. It started as a game studio in 2015 and over the years, grew into a bunch of wings- each working dedicatedly on serious games; web and app development; business and marketing solutions using augmented reality and virtual reality; digital marketing; and small-scale indie games. With their outreach campaigns, Battery Low has reached half a million kids with the experience of immersive technology for the first time. Fahme also conducts sessions on AR, VR, MR, game design, entrepreneurship, career, and leadership for youth and entrepreneurs in educational institutions, national, and international events. He is a blogger and game designer/writer by passion while cats, travels, live concerts, epic fantasies keep him running.TANIMUL HAQUE KHAN is the head of the Unity department of Brain Station 23, a service-based company. He along with his team has been providing AR/VR enterprise solutions since 2018. He has been working with Unity technologies since 2015. He has played an uncountable number of games across multiple platforms mostly on PC and console. He is one of the most well-recognized Unity developers in Bangladesh. Aside from the tech industry he has also co-founded the very first cat cafe in Bangladesh known as Capawcino.Chapter 1: Don'tChapter Goal: In this chapter, you will get introduced to the core difficulties and challenges of the game making journey.Chapter 2: The Fault in Our StarsChapter Goal: This chapter will discuss the first encounters with games as well as the process of finding the gaps and lacking. We will also discuss game analysis in this chapter.Chapter 3: Don't Reinvent the WheelChapter Goal: We will discuss the game engine and the purpose they serve as powerful and necessary tools in game development.Chapter 4: Choose Your ArsenalChapter Goal: We will learn about game engines in greater detail including their pros n cons by building a RPG.Chapter 5: It's All in My Head/ Don't Keep It All in Your HeadChapter Goal: Learn to make Game Design Document, writing practices, and hurdles that may be stopping you from writing it.Chapter 6: A Stitch in Time Saves NineChapter Goal: This chapter teaches conventions of file naming, structuring, project structuring, coding (with some examples)Chapter 7: Git GoodChapter Goal: We will learn about version controlChapter 8: Get Smart!Chapter Goal: This chapter shows the ill effects of hard code. This would enable you to differentiate between good and bad approaches towards code and learn how to eliminate them.Chapter 9: Game Design - The Three musketeers!Chapter Goal: You will learn the overall journey of game design, understanding all the components, their role, and how to roll them properly.Chapter 10: Game Feel and EffectsChapter Goal: We will learn about camera effect, audio effect, particle effect in this chapter.Chapter 11: Input MattersChapter Goal: Learn about choosing input styles properly.Chapter 12: Help!Chapter Goal: This chapter will helping you transcend through reality (pseudo code), dynamic difficulty.Chapter 13: Platform Choosing (Pros n Cons)Chapter Goal: This chapter will help you choose the right platform to publish your game.Chapter 14: The Great Filter/Fermi ParadoxChapter Goal: In this chapter, you will learn how to test your game and how to approach publishing and assessing the success.Chapter 15: Gameover - The Myth of Sisyphus/Insanity Loop/Core LoopChapter Goal: In the final chapter, we will evaluate all we have learnt by studying this game, its success, and the future
SAP S/4HANA Embedded Analytics
Imagine you are a business user, consultant, or developer about to enter an SAP S/4HANA implementation project. You are well-versed with SAP’s product portfolio and you know that the preferred reporting option in S/4HANA is embedded analytics. But what exactly is embedded analytics? And how can it be implemented? And who can do it: a business user, a functional consultant specialized in financial or logistics processes? Or does a business intelligence expert or a programmer need to be involved? Good questions!This book will answer these questions, one by one. It will also take you on the same journey that the implementation team needs to follow for every reporting requirement that pops up: start with assessing a more standard option and only move on to a less standard option if the requirement cannot be fulfilled. In consecutive chapters, analytical apps delivered by SAP, apps created using Smart Business Services, and Analytical Queries developed either using tiles or in a development environment are explained in detail with practical examples. The book also explains which option is preferred in which situation. The book covers topics such as in-memory computing, cloud, UX, OData, agile development, and more.Author Freek Keijzer writes from the perspective of an implementation consultant, focusing on functionality that has proven itself useful in the field. Practical examples are abundant, ranging from “codeless” to “hardcore coding.”WHAT YOU WILL LEARN* Know the difference between static reporting and interactive querying on real-time data* Understand which options are available for analytics in SAP S/4HANA* Understand which option to choose in which situation* Know how to implement these optionsWho This Book is ForSAP power users, functional consultants, developersFREEK KEIJZER has a background in science (physics), industry (manufacturing, process industry) and ICT (SAP system integration), holding various project management, people management, and specialist positions. He holds degrees in natural sciences (PhD) and information management (MIM). In 1996, he became involved in an SAP implementation, initially as an R/3 key user, later as internal project leader, interim manager of the support organization, and (international) information manager. Since 2001, he has focused on SAP BI consultancy, working for three consultancy firms and more than 50 clients. His responsibilities as a consultant include product development, team competence development, sales support, and resourcing. Freek's specialties (technical) include SAP Business Intelligence, Hana, NetWeaver, and ERP integration. His roles include project leader, lead consultant, business consultant, (interim) manager, and scrum master.Since 2015, Freek has been a brewer/owner of the Rubelijn craft beer brand.CHAPTER 1: BEFORE THE WORK STARTSCHAPTER GOAL: Miscellaneous intro topics.NO OF PAGES: 40SUB -TOPICS1. Business Intelligence: the art of enriching data2. HANA changing the OLTP versus OLAP game3. Cloud flavors: SaaS versus IaaS4. The latest thing: CDS-views5. Frontend: Fiori and UI56. SAP’s BI portfolio7. S/4HANA and Embedded AnalyticsCHAPTER 2: NO WORK: USE WHAT IS DELIVEREDCHAPTER GOAL: S/4HANA comes with rich analytical apps that can be used immediately. This chapter focuses on the content delivered by SAP.NO OF PAGES: 20SUB - TOPICS1. Discover analytical apps2. Activate them3. Use themCHAPTER 3: SOME WORK: SMART BUSINESS SERVICECHAPTER GOAL: S/4HANA has built-in functions for codeless creation of simple analytical apps. Target group of these functions are power users, but in practice functional (non-BI) consultants are most suitable to use this functionality.Functions are made available as a group of Fiori-tiles under the product name “Smart Business Service”.NO OF PAGES : 30SUB - TOPICS:1. Tiles “KPI Design”2. Tiles “Report Design”3. Tile “Analysis Path Framework Modeling”4. The end-result: again tilesCHAPTER 4: MORE WORK: BUILDING ANALYTICAL QUERIES USING TILESCHAPTER GOAL: S/4HANA comes with tiles to create so-called “Analytical Queries” starting from SAP-delivered CDS-views. Analytical Queries are not static reports, but versatile, interactive queries on real-time data.For the SaaS version of S/4HANA, this is the only option to create Analytical Queries.NO OF PAGES: 40SUB - TOPICS:1. Discovery of SAP-delivered CDS-views with tile “View Browser”2. Enriching CDS-views with tiles “Custom CDS Views”3. Building an Analytical Query with tile “Custom Analytical Query”4. Running the query with tile “Query Browser”5. How to navigate within an Analytical Query.6. Creating a dedicated tile for the queryCHAPTER 5: MOST WORK: BUILDING ANALYTICAL QUERIES IN A DEVELOPMENT ENVIRONMENTCHAPTER GOAL: Starting from real-life business requirements, often the conclusion is reached that SAP-delivered CDS-views won’t do the trick. For a SaaS version of S/4HANA, the process following this conclusion is called “managing expectations”. For an on-premise version, a development environment can be applied. And then … the sky is the limit! Development can start not only from SAP-delivered CDS-views but also from tables.NO OF PAGES: 60SUB - TOPICS:1. Layered approach towards the analytical query2. Data-integration3. “Cube-view”4. Analytical query5. Examples transaction data6. Examples master data7. Example: Replacing custom ABAP-report by analytical query8. Performance considerations; balance between performance and support-friendliness9. Access and data authorizationCHAPTER 6: EXTENSIBILITY, ODATA AND BEYONDCHAPTER GOAL: Miscellaneous outro topics related to Embedded AnalyticsNO OF PAGES: 20SUB - TOPICS:1. S/4HANA Extensibility2. OData and APIs3. Agile development and Devops4. Ideal skill-set for an Embedded Analytics expert
Transactional Machine Learning with Data Streams and AutoML
Understand how to apply auto machine learning to data streams and create transactional machine learning (TML) solutions that are frictionless (require minimal to no human intervention) and elastic (machine learning solutions that can scale up or down by controlling the number of data streams, algorithms, and users of the insights). This book will strengthen your knowledge of the inner workings of TML solutions using data streams with auto machine learning integrated with Apache Kafka.Transactional Machine Learning with Data Streams and AutoML introduces the industry challenges with applying machine learning to data streams. You will learn the framework that will help you in choosing business problems that are best suited for TML. You will also see how to measure the business value of TML solutions. You will then learn the technical components of TML solutions, including the reference and technical architecture of a TML solution.This book also presents a TML solution template that will make it easy for you to quickly start building your own TML solutions. Specifically, you are given access to a TML Python library and integration technologies for download. You will also learn how TML will evolve in the future, and the growing need by organizations for deeper insights from data streams.By the end of the book, you will have a solid understanding of TML. You will know how to build TML solutions with all the necessary details, and all the resources at your fingertips.WHAT YOU WILL LEARN* Discover transactional machine learningMeasure the business value of TML * Choose TML use cases* Design technical architecture of TML solutions with Apache Kafka* Work with the technologies used to build TML solutions* Build transactional machine learning solutions with hands-on code together with Apache Kafka in the cloudWHO THIS BOOK IS FORData scientists, machine learning engineers and architects, and AI and machine learning business leaders.Sebastian Maurice is founder and CTO of OTICS Advanced Analytics Inc. and has over 25 years of experience in AI and machine learning. Previously, Sebastian served as Associate Director within Gartner Consulting focusing on artificial intelligence and machine learning. He was instrumental in developing and growing Gartner’s AI consulting business. He has led global teams to solve critical business problems with machine learning in oil and gas, retail, utilities, manufacturing, finance, and insurance. Dr. Maurice also brings deep experience in oil and gas (upstream) and was one of the first in Canada to apply machine learning to oil production optimization, which resulted in a Canadian patent: #2864265.Sebastian is also a published author with seven publications in international peer-reviewed journals and books. One of his publications (International Journal of Engineering Education, 2004) was cited as landmark work in the area of online testing technology. He also developed the world’s first Apache Kafka connector for transactional machine learning: MAADS-VIPER.Dr. Maurice received his PhD in electrical and computer engineering from the University of Calgary, and has a master’s in electrical engineering, and a master’s in agricultural economics, with bachelors in pure mathematics and bachelors (hon) in economics.Dr. Maurice also teaches a course on data science at the University of Toronto and actively helps to develop AI course content at the University of Toronto. He is also active in the AI community and an avid blogger and speaker. He also sits on the AI advisory board at McMaster University.Chapter 1: Introduction: Big data, Auto Machine Learning and Data StreamsChapter 2: Transactional Machine LearningChapter 3: Industry Challenges with Data Streams and AutoMLChapter 4: The Business Value of Transactional Machine LearningChapter 5: The Technical Components and Architecture for Transactional Machine LearningOverview of a TML SolutionChapter 6: Template for Transactional Machine Learning SolutionsCHAPTER 7: Visualize Your TML Model Insights: Optimization, Predictions and AnomaliesChapter 8: Evolution and Opportunities For Transactional Machine Learning in Almost Every IndustryChapter 9: Conclusion and Final Thoughts.
Learn to Program with Kotlin
Teach yourself programming starting with the basics and progressing to a series of exciting projects using Kotlin, one of today's hottest programming languages. This book starts with the absolute basics and then introduces just enough syntax to get into some fascinating projects. These include text processing: a statistical analysis of Jane Austen's novels, solving anagrams, and working with palindromes; image processing: cropping and resizing images, and pixel transformation; and computer vision: finding digits, parsing images, and reading speed signs.The projects are developed in tiny steps and complete solutions are provided. Some of these projects include core data science concepts, giving you skills in one of the most important areas of modern programming. Along the way you’ll cover functional programming, object-oriented programming (OOP), refactoring, and writing unit tests.After reading Learn to Program with Kotlin, you'll come away with practical insights and code to get you started right away with programming using Kotlin for your own projects.WHAT YOU WILL LEARN* Gain the basics of Kotlin using the IntelliJ Java IDE* Implement OOP with Kotlin along with unit testing and code refactoring using a series of text-related projects* Harness functional programming with Kotlin by building an image-processing library* Write software to locate and read speed signs in photosWHO IS THIS BOOK FORAnyone who wants to learn how to program or code from scratch. Also great for experienced programmers who want to know more about Kotlin. Tim Lavers is a senior software engineer at KPMG with expertise in Java, Kotlin, and other programming languages employed for data engineering and enterprise software projects. He is also a mathematical hobbyist in his spare time.PART 1 - BASICSThe very basics of programming in Kotlin using the IntelliJ code editor.Chapter 1: Getting StartedChapter 2: Simple patternsChapter 3: Arrays and loopsChapter 4: Binary choicesChapter 5: IntegersChapter 6: Values and variablesChapter 7: StringsChapter 8: Data structuresChapter 9: The file systemPART II - TEXTObject-Oriented Programming, Unit Testing and code refactoring through a series of fascinating text-related projects.Chapter 10: Project AustenChapter 11: AnagramsChapter 12: PalindromesChapter 13: Word switchPART III - IMAGESThis part of the book introduces Functional Programming by building a basic image processing library.The culmination of this is a CGI (Computer Generated Imagery) project.Chapter 14: Colour picturesChapter 15: Pixel transformationsChapter 16: Cropping and resizing imagesChapter 17: Project DinoPART IV - VISIONWe cap it all of with a project in which we write software to locate and read speed signs in photos.Chapter 18: OverviewChapter 19: Finding digitsChapter 20: Parsing the imagesChapter 21: Reading speed signs
JavaServer Faces und Jakarta Server Faces 2.3 (3.Auflg.)
Das Arbeitsbuch für Java-Webentwickler in aktualisierter 3. Auflage.JavaServerTM Faces und Jakarta Server Faces 2.3 sind ein Framework für die Entwicklung von Benutzerschnittstellen für bzw. als Teil einer Java-Web-Anwendung. Dieses Arbeitsbuch führt Sie Schritt für Schritt in die Programmierung mit JSF ein. Sie erfahren, wie Sie damit moderne Benutzerschnittstellen für die Praxis entwickeln.Und natürlich geht es auch darum, wie JSF in eine Java-Web-Anwendung zu integrieren sind. Behandelt werden auch Themen wie die Anbindung an eine Datenbank mit JPA, die Verwendung von CDI sowie Authentifizierung und Autorisierung.Verfolgen Sie Schritt für Schritt die Entwicklung einer betrieblichen Anwendung und lernen Sie so anhand realer Aufgabenstellungen alle wichtigen Aspekte von JSF 2.3 kennen. Mit Hilfe der Übungen, deren Lösungen sich von der Website zum Buch und von GitHub herunterladen lassen, können Sie das Gelernte selbst ausprobieren und umsetzen.Aus dem Inhalt:EinleitungJSF im DetailContext und Dependency InjectionWeiterführende ThemenClassic ModelsSpezialthemenVerwendete SystemeAusblick/Anhang: Die Tags der Standardbibliotheken
Programming Microcontrollers with Python
For the first time microcontrollers are powerful enough to be programmed in Python. The landscape of embedded systems development is changing, microcontrollers are becoming more powerful, and the rise of the internet of things is leading more developers to get into hardware. This book provides the solid foundation to start your journey of embedded systems development and microcontroller programming with Python.You’ll quickly realize the value of using Python. The theme of the book is simplicity and the cleanness and elegance of Python makes that possible. Featuring a step-by-step approach, this single source guide balances complexity and clarity with insightful explanations that you’ll easily grasp.Python is quickly becoming the language of choice for applications such as machine learning and computer vision on embedded devices. What would previously be daunting and exceedingly difficult to do in C or C++ is now possible with Python because of its level of abstraction. Programming Microcontrollers with Python is your path to bringing your existing skills to the embedded space.WHAT YOU’LL LEARN* Review microcontroller basics and the hardware and software requirements * Understand an embedded system’s general architecture* Follow the steps needed to carry a product to market * Take a crash course in Python programming * Program a microcontroller* Interface with a microcontroller using LCD and Circuit Python* Use and control sensorsWHO THIS BOOK IS FORThose getting started with microcontrollers, those new to C, C++, and Arduino programming, web developers looking to get into IoT, or Python programmers who wish to control hardware devices.Armstrong Subero started learning electronics at the age of 8. One of the happiest memories in his childhood was when he finally figured out how to make a light bulb. It took off from there as he taught himself more advanced topics in electronics, before delving into computer architecture, and eventually discovering the joys of microcontrollers and FPGAs.He currently works for the Ministry of National Security in his country and writes software, design circuits, courses, robots as well as write books, and blogs about technology on trinirobotics.com in his free time. He is also a contributing author to Free Code Camp and has degrees in Computer Science and Liberal Arts and Sciences from Thomas Edison State University. He is the author of "Programming PIC Microcontrollers in XC8" and "Codeless Data Structures and Algorithms" both published by Apress Media LLC. Preface• Why Did I Write This Book?• Who Is This Book For?• What You Will Need For This Book?• What Will I learn in This Book?• About the Author• Errata and SuggestionsChapter 1: Getting Ready In this chapter we begin learning about microcontrollers what they are and the various languages we can use for them. Things like what software and hardware you will need to follow along with the book as well as the recommended boards to use CircuitPython is covered in this chapter.• Introduction to Microcontrollers• Microcontroller Programming Languages• Assembly Language• C• C++• BASIC• Rust• Python• Selecting a Board• Adafruit Metro M0 Express• Adafruit Feather M0 Express• Adafruit Metro M4 Express• Adafruit Grand Central M4 Express• The Arduino Zero• The STM32F746ZG Nucleo• Device Comparison• The Component List• The Mu Editor• Putty• Setting up Your Own Board• ConclusionChapter 2: Electronics Primer picks up where chapter one leaves off and we move our discussion into the realm of electronics giving an overview of passive analog electronic components such as resistors, capacitors, and inductors. Along the way we learn about breadboards before diving into semiconductor electronics and basic digital electronics.• Electrical Wires• The Breadboard• Electronic Schematics• Passive Components• Resistors• Capacitors• Polarized Capacitors• Non-Polarized Capacitors• Capacitor Schematic Symbols• Inductors• Semiconductors• Diode• Light Emitting Diode• Transistor• Metal Oxide Semiconductor Field Effect Transistors• Integrated Circuits• Digital Logic• Logic Level Conversion• Flip-Flop• Registers and Shift Register• Multiplexers and Demultiplexers• ConclusionChapter 3: Embedded Systems Overview covers the software side of things. We learn about embedded systems, its structure, hardware and software systems and the general architecture of embedded systems. Things like toolchains, testing and a heavy emphasis on software architecture is covered. For those of you reading this book to make and sell your own product, I cover the steps you need to take to carry a product to market.• An Overview of Embedded Systems• Microcontroller vs Applications Processor• Embedded Systems Structure• The Hardware System• The software System• The Toolchain• Software Testing• Embedded Software Architecture• The Driver Layer• Hardware Abstraction Layers (HAL)• Board Support Package (BSP)• Middleware• Software Framework• Code Generator• Platform• Embedded Systems Constrains• Cost• Performance• Energy budget• Embedded Systems Classification• Small Scale Systems• Medium Scale Systems• High Performance Systems• Distributed Embedded Systems• Seven Steps to Developing an Embedded Product• ConclusionChapter 4: Python Programming looks at the python programming language you get a crash course in the core features of the language that you can use to write your own programs. If is written in such a way that even if you never used python, but have some experience programming you will be able to follow along.• Writing Python Programs• Whitespace• Comments• Variables and Constants• Data Types• Operators• Lists• Tuples• If Statement• Else statement• For Loop• While Loop• Functions• Lambda Functions• Exception Handling• Object Oriented Programming• Random and Time• Python vs CircuitPython• How Does My Python Program Run?• ConclusionChapter 5: Digital Control introduces us to programming the input and output on microcontrollers. We finally start to use microcontrollers and we learn a little bit about how microcontrollers work and learn how to interface them to switches and LEDs.• Microcontroller I/O• Output and Input on Microcontroller Hardware• Going Deeper into Microcontroller I/O• Output in CircuitPython• LED Control• Output with MCU Schematic• Output Circuit Connection Tips• Output with CircuitPython Program• LED Blink with CircuitPython Program• Pull-up vs Pull-Down Resistors• Switch Debouncing• Input in CircuitPython• Input with MCU Schematic (Pullup)• Pushbutton Pullup Circuit Connection Tips• Pushbutton Pullup with CircuitPython Program• Input with MCU Schematic (Pulldown)• Pushbutton Pulldown Circuit Connection Tips• Pushbutton Pulldown with CircuitPython Program• ConclusionChapter 6: Data Conversion covers analog input on our microcontroller, and we cover how analog to digital conversion works on the microcontroller. Using this information, we learn how to read potentiometers, photoresistors and temperature sensors using our microcontroller.• Analog To Digital Conversion• ADC Hardware• Going Deeper into ADC• The Potentiometer• Analog to Digital Conversion in CircuitPython• ADC with MCU Schematic• ADC Circuit Connection Tips• CircuitPython with Potentiometer Program• Photoresistor• Photoresistor with MCU Schematic• Photoresistor Circuit Connection Tips• Photoresistor with Circuitpython Program• Temperature Sensor• Temperature Sensor with MCU Schematic• Temperature Sensor Circuit Connection Tips• Temperature Sensor with Circuitpython Program• ConclusionChapter 7: Communication Protocol discusses serial communication protocols on microcontrollers, and we use USART, SPI and I2C. We cover not only how to use these protocols, but also how they operate internally. In this chapter we will cover how to use USB-UART and also how we can read the information from a accelerometer and gyroscope.• Microcontroller Communications• USART Communications• Deeper into UART• UART in CircuitPython• USB-UART with MCU Schematic• MCU with USB-UART Circuit Connection Tips• UART with CircuitPython Program• SPI Communications• Deeper into SPI• Board with Potentiometer Circuit Connection Tips• SPI with CircuitPython Program• I2C Communications• Deeper into I2C• I2C Support in CircuitPython• The MPU6050• I2C with MCU Schematic• I2C Circuit Connection Tips• I2C with CircuitPython Program• Adding Libraries• MPU6050 with CircuitPython Program• ConclusionChapter 8: Display Interfacing teaches us the basics of display interfacing with microcontrollers. We learn about how the LCD works and learn how to use them with our CircuitPython microcontroller. We also learn about OLEDs and learn how we can drive an OLED using CircuitPython.• The Liquid Crystal Display• Using a GLCD• Monochrome GLCD Schematic• PCD8544 with CircuitPython• Troubleshooting• The Framebuffer• OLED• Using an OLED• MCU with OLED Schematic• CircuitPython with OLED Program• ConclusionChapter 9: Controlling DC Actuators is about controlling DC actuators. We will learn about things like DC motors, stepper motors and servo motors and learn how to control them with the microcontroller devices. PWM is covered in this chapter as well.• DC Motors• Driving DC Motors• Pulse Width Modulation• PWM in CircuitPython• PWM with CircuitPython Program• Controlling Motor Speed• The H-Bridge• H-Bridge with MCU Schematic• H-Bridge with CircuitPython Program• Servo Motors• Servo Motors in CircuitPython• Servo Motor with MCU Schematic• Servo Motor with CircuitPython Program• Stepper Motors• Stepper Motors in CircuitPython• Stepper Motor with MCU Schematic• Stepper Motor with CircuitPython Program• ConclusionChapter 10: Python MCU Interfacing presents specifics of using and controlling some sensors you are likely to want to use in your own projects. These include RGB LEDs, ultrasonic sensors, piezo speakers, and humidity sensors.• RGB LED• RGB LED with MCU Schematic• RGB LED Circuit Connection Tips• Libraries We’ll Need• RGB LED with Circuitpython Program• HC-SR04• HC-SR04 with MCU Schematic• HC-SR04 Circuit Connection Tips• Libraries We’ll Need• HC-SR04 with Circuitpython Program• Piezo Speaker• Piezo with MCU Schematic• Piezo Circuit Connection Tips• Libraries We’ll Need• Piezo with Circuitpython Program• DHT11• DHT11 with MCU Schematic• DHT11 Sensor Circuit Connection Tips• Libraries We’ll Need• DHT11 Sensor with CircuitPython Program• Conclusion
Oracle Database Programming with Visual Basic.NET
ORACLE DATABASE PROGRAMMING WITH VISUAL BASIC.NETDISCOVER A DETAILED TREATMENT OF THE PRACTICAL CONSIDERATIONS AND APPLICATIONS OF ORACLE DATABASE PROGRAMMING WITH VISUAL BASIC 2019Oracle Database Programming with Visual Basic.NET: Concepts, Designs, and Implementations delivers a comprehensive exploration of the foundations of Oracle database programming using Visual Basic.NET. Using Visual Basic.NET 2019, Visual Studio.NET 2019, and Oracle 18c XE, the book introduces the Oracle database development system, Oracle SQL Developer and Modeler, and teaches readers how to implement a sample database solution. The distinguished author also demonstrates the use of dotConnect for Oracle to show readers how to create an effective connection to an Oracle 18c XE database. The current versions of the .NET framework, ASP.NET, and ASP.NET 4.7 are also explored and used to offer readers the most up to date web database programming techniques available today. The book provides practical example projects and detailed, line-by-line descriptions throughout to assist readers in the development of their database programming skill. Students will also benefit from the inclusion of:* A thorough introduction to databases, including definitions, examples, descriptions of keys and relationships, and some database components in popular databases, like Access, SQL, and Oracle* An exploration of ADO.NET, including its architecture and components, like the DataReader class, DataSet component, DataTable component, and the command and parameter classes* A discussion of Language Integrated Query (LINQ), including its architecture and components, its relationship to objects, DataSet, Oracle, and Entities* An explanation of how to access data in ASP.NET and ASP.NET Web Services with multiple real project examples.Perfect for college and university students taking courses related to database programming and applications, Oracle Database Programming with Visual Basic.NET will also earn a place in the libraries of programmers and software engineers seeking a comprehensive reference for database coding in Visual Basic.NET. YING BAI, PHD, is Professor in the Department of Computer Science and Engineering at Johnson C. Smith University. He is the author of Practical Microcontroller Engineering with ARM Technology, Practical Database Programming with Visual Basic.NET, 2nd Edition, Practical Database Programming with Java, and Practical Database Programming with Visual C#.NET.
JavaServer™ Faces und Jakarta Server Faces 2.3
DAS ARBEITSBUCH FÜR JAVA-WEBENTWICKLER // - Steigen Sie mit diesem fundierten Arbeitsbuch in die Entwicklung von Benutzerschnittstellen mit JavaServerTM Faces und Jakarta Server Faces 2.3 ein. - Anhand einer Beispielanwendung werden alle wichtigen Aspekte von JSF erläutert. - Vertiefen und erweitern Sie Ihre Fertigkeiten mit den zahlreichen Übungen. - Verwendet werden ausschließlich Open-Source-Systeme, so dass Sie alle Übungen und Beispiele ohne weitere Lizenzkosten nachvollziehen können. - Im Internet: Quell-Code zu den Beispielen und Lösungen der Übungen auf der Autorenwebsite zum Buch und GitHub - Ihr exklusiver Vorteil: E-Book inside beim Kauf des gedruckten Buches JavaServerTM Faces und Jakarta Server Faces 2.3 sind ein Framework für die Entwicklung von Benutzerschnittstellen für bzw. als Teil einer Java-Web-Anwendung. Dieses Arbeitsbuch führt Sie Schritt für Schritt in die Programmierung mit JSF ein. Sie erfahren, wie Sie damit moderne Benutzerschnittstellen für die Praxis entwickeln. Und natürlich geht es auch darum, wie JSF in eine Java-Web-Anwendung zu integrieren sind. Behandelt werden auch Themen wie die Anbindung an eine Datenbank mit JPA, die Verwendung von CDI sowie Authentifizierung und Autorisierung. Verfolgen Sie Schritt für Schritt die Entwicklung einer betrieblichen Anwendung und lernen Sie so anhand realer Aufgabenstellungen alle wichtigen Aspekte von JSF 2.3 kennen. Mit Hilfe der Übungen, deren Lösungen sich von der Website zum Buch und von GitHub herunterladen lassen, können Sie das Gelernte selbst ausprobieren und umsetzen. AUS DEM INHALT // Einleitung/JSF im Detail/Context und Dependency Injection/Weiterführende Themen/Classic Models/Spezialthemen/Verwendete Systeme/Ausblick/Anhang: Die Tags der Standardbibliotheken
C für Dummies (3. Auflg.)
Der Programmiersprachenklassiker C ist beliebt wie eh und je: denn mit C bringt man Computer zum Laufen. C steckt in der Software vieler Betriebssysteme. Dan Gookin bietet in diesem Buch eine wunderbar anschauliche und humorvolle Einführung.C erfreut sich als Klassiker unter den Programmiersprachen großer Beliebtheit, denn es steckt nach wie vor in vielen Betriebssystemen, Schnittstellen und Treibern, aber auch in Compilern und neueren eingebetteten Systemen. Wer C lernen und dabei auch noch Spaß haben möchte, sollte zu diesem Buch vom Urvater der Dummies, Dan Gookin, greifen. Mit viel Humor und vielen anschaulichen Beispielen macht er die Programmiersprache C lebendig.Dan Gookin schrieb das erste "... für Dummies"-Buch "DOS für Dummies" und hat seitdem unzählige Bücher für die Reihe verfasst. Er versteht es besonders gut, anschaulich und humorvoll zu erklären.
Pointers in C Programming
Gain a better understanding of pointers, from the basics of how pointers function at the machine level, to using them for a variety of common and advanced scenarios. This short contemporary guide book on pointers in C programming provides a resource for professionals and advanced students needing in-depth hands-on coverage of pointer basics and advanced features. It includes the latest versions of the C language, C20, C17, and C14.You’ll see how pointers are used to provide vital C features, such as strings, arrays, higher-order functions and polymorphic data structures. Along the way, you’ll cover how pointers can optimize a program to run faster or use less memory than it would otherwise.There are plenty of code examples in the book to emulate and adapt to meet your specific needs.WHAT YOU WILL LEARN* Work effectively with pointers in your C programming* Learn how to effectively manage dynamic memory* Program with strings and arrays* Create recursive data structures* Implement function pointersWHO THIS BOOK IS FORIntermediate to advanced level professional programmers, software developers, and advanced students or researchers. Prior experience with C programming is expected.Thomas Mailund is an associate professor in bioinformatics at Aarhus University, Denmark. He has a background in math and computer science, including experience programming and teaching in the C and R programming languages. For the last decade, his main focus has been on genetics and evolutionary studies, particularly comparative genomics, speciation, and gene flow between emerging species.1. Pointers and the random access memory model2. Memory management3. Strings and arrays4. Recursive data structures5. Function pointers
JavaScript - Das Handbuch für die Praxis
Seit 25 Jahren das begleitende Grundlagenwerk zu JavaScript - Durchgehend überarbeiteter Bestseller in der 7. Auflage - Deckt die Version ES2020 inkl. Tools/Extensions & Node.js ab < - Vermittelt umfassendes und tiefgehendes JavaScript-Know-how JavaScript ist die Programmiersprache des Webs und der Bestseller "JavaScript: Das Handbuch für die Praxis" seit fast 25 Jahren und über sieben Auflagen ein geschätztes Grundlagenwerk für diese Sprache. Umfassend und detailliert dokumentiert Flanagan die wichtigsten client- und serverseitigen APIs. Die 7. Auflage wurde vollständig aktualisiert und deckt die Version 2020 von JavaScript ab. Freuen Sie sich auf spannende und inspirierende Codebeispiele und neue Kapitel über Klassen, Module, Iteratoren, Generatoren, Promises und async/await. Das Buch wendet sich an JavaScript-Neulinge mit Programmierkenntnissen sowie JavaScript-Programmierende, die ihr Verständnis vertiefen wollen. Die Zeit, die Sie in die Lektüre investieren, wird sich durch eine deutlich gesteigerte Produktivität garantiert rasch auszahlen.
Machine Learning - kurz & gut (2. Auflg.)
Der kompakte Schnelleinstieg in Machine Learning und Deep Learning in der neuen 2. Auflage 04/2021!Machine Learning beeinflusst heute beinahe alle Bereiche der Technik und der Gesellschaft. Dieses Buch bietet Interessierten, die einen technischen Hintergrund haben, die schnellstmögliche Einführung in das umfangreiche Themengebiet des maschinellen Lernens und der statistischen Datenanalyse. Dabei werden folgende Themen behandelt und mit praktischen Beispielen veranschaulicht:Datenimport und -vorbereitungSupervised LearningFeature-Auswahl, ModellvalidierungNeuronale Netze und Deep LearningUnsupervised LearningReinforcement LearningAnhand konkreter Datensätze lernen Sie einen typischen Workflow kennen: vom Datenimport über Datenbereinigung, Datenanalyse bis hin zur Datenvisualisierung. Die Codebeispiele basieren auf Python und den Bibliotheken Scikit-Learn, Pandas, NumPy, TensorFlow und Keras.Nach der Lektüre dieses Buchs haben Sie einen Überblick über das gesamte Thema und können Ansätze einordnen und bewerten. Das Buch vermittelt Ihnen eine solide Grundlage, um Ihre ersten eigenen Machine-Learning-Modelle zu trainieren und vertiefende Literatur zu verstehen.
JavaScript - Das Handbuch für die Praxis (7. Auflg.)
Seit 25 Jahren das begleitende Grundlagenwerk zu JavaScript, in 7. Auflage 04/2021JavaScript ist die Programmiersprache des Web und wird heute von mehr Softwareentwicklerinnen und -entwicklern eingesetzt als jede andere Sprache. Seit fast 25 Jahren dient ihnen dieser Bestseller als Praxishandbuch und zuverlässiger Begleiter. Die vorliegende siebte Auflage wurde vollständig aktualisiert und deckt die Version 2020 von JavaScript ab.Sie finden in diesem Buch spannende und aufschlussreiche Codebeispiele sowie neue und erweiterte Kapitel zu Klassen, Modulen, Iteratoren, Generatoren, Promises und async/await. Es richtet sich an Programmiererinnen und Programmierer, die JavaScript lernen möchten, und an alle in der Webentwicklung, die ein tieferes Verständnis für die Sprache entwickeln und sie noch besser beherrschen wollen.Unter anderem werden folgende Themen behandelt:Typen, Variablen, Operatoren, Anweisungen, Objekte und ArraysFunktionen, Klassen, Module, Iteratoren, Generatoren, Promises und async/awaitDie Standardbibliothek von JavaScript: Datenstrukturen, reguläre Ausdrücke, JSON, Internationalisierung und URLsDie Webplattform: Dokumente, Komponenten, Grafiken, Netzwerkoptionen, Speicher und ThreadsNode.js: Puffer, Dateien, Streams, Threads, Kindprozesse, Webclients und WebserverWerkzeuge und Spracherweiterungen für professionelle JavaScript-Entwickler
SAP SuccessFactors Talent: Volume 1
Take an in-depth look at SAP SuccessFactors talent modules with this complete guide to configuration, administration, and best practices. This two-volume series follows a logical progression of SAP SuccessFactors modules that should be configured to complete a comprehensive talent management solution. The authors walk you through fully functional simple implementations in the primary chapters for each module before diving into advanced topics in subsequent chapters.In volume 1, we start with a brief introduction. The next two chapters jump into the Talent Profile and Job Profile Builder. These chapters lay the structures and data that will be utilized across the remaining chapters which detail each module. The following eight chapters walk you through building, administering, and using a goal plan in the Goal Management module as well as performance forms in the Performance Management module. The book also expands on performance topics with the 360 form and continuous performance management in two additional chapters. We then dive into configuring the calibration tool and how to set up calibration sessions in the next two chapters before providing a brief conclusion.Within each topic, the book touches on the integration points with other modules as well as internationalization. The authors also provide recommendations and insights from real world experience. Having finished the book, you will have an understanding of what comprises a complete SAP SuccessFactors talent management solution and how to configure, administer, and use each module within it.You will:· Develop custom talent profile portlets· Integrate Job Profile Builder with SAP SuccessFactors talent modules· Set up security, group goals, and team goals in goals management with sample XML· Configure and launch performance forms including rating scales and route maps· Configure and administrate the calibration module and its best practicesSUSAN TRAYNOR is an SAP SuccessFactors Certified Professional with more than 21 years of progressive experience in SAP HCM and SuccessFactors implementations. You can follow her on LinkedIn.MICHAEL A. WELLENS, M.S. is a certified SAP SuccessFactors consultant with over 15 years of human resources information systems implementation experience. He has successfully launched a variety of core HR and talent management solutions across a variety of fortune 500 companies around the world. You can follow him on LinkedIn or on Twitter at @mike_wellens.VENKI KRISHNAMOORTHY is an SAP SuccessFactors consultant. Venki has over 15 years of experience as a functional lead, project manager, and program manager in HCM transformation projects. Venki has completed over 35 full lifecycle implementations of SuccessFactors projects across multiple modules. You can follow Venki on LinkedIn or on Twitter at @venki_sap.Chapter 1: An Introduction to SAP SuccessFactors Talent ModulesChapter 2: Talent ProfileChapter 3: Job Profile BuilderChapter 4: Basic Goal ManagementChapter 5: Alternate Goal Management Concepts and FunctionalityChapter 6: Introduction to Performance ManagementChapter 7: Performance Form Template SectionsChapter 8: Administering Performance Management FormsChapter 9: Using Performance Management FormsChapter 10: Performance Management XML and TranslationsChapter 11: Ask for Feedback, Get Feedback, Add Modifier, and Add SignerChapter 12: 360Chapter 13: Continuous Performance ManagementChapter 14: Calibration ConfigurationChapter 15: Calibration SessionsChapter 16: Conclusion
Beginning HCL Programming
Get started with programming and using the Hashicorp Language (HCL). This book introduces you to the HCL syntax and its ecosystem then it shows you how to integrate it as part of an overall DevOps approach.Next, you’ll learn how to implement infrastructure as code, specifically, using the Terraform template, a set of cloud infrastructure automation tools. As part of this discussion, you’ll cover Consul, a service mesh solution providing a full-featured control plane with service discovery, configuration, and segmentation functionality. You’ll integrate these with Vault to build HCL-based infrastructure as code solutions.Finally, you’ll use Jenkins and HCL to provision and maintain the infrastructure as code system. After reading and using Beginning HCL Programming, you'll have the know-how and source code to get started with flexible HCL for all your cloud and DevOps needs.WHAT YOU WILL LEARN* Get started with programming and using HCL* Use Vault, Consul, and Terraform * Apply HCL to infrastructure as codeDefine the Terraform template with HCL * Configure Consul using HCL* Use HCL to configure Vault* Provision and maintain infrastructure as code using Jenkins and HCLWHO THIS BOOK IS FORAnyone new to HCL but who does have at least some prior programming experience as well as knowledge of DevOps in general.PIERLUIGI RITI is a senior DevOps engineer at Coupa Software and Sunchronoss Technologies. Prior to that, he was a senior software engineer at Ericsson and Tata. His experience includes implementing DevOps in the cloud using Google Cloud Platform as well as AWS and Azure. Also, he has over ten years of extensive experience in more general design and development of different scale applications particularly in the telco and financial industries. He has quality development skills using the latest technologies including Java, J2EE, C#, F#, .NET, Spring .NET, EF, WPF, WF, WinForm, WebAPI, MVC, Nunit, Scala, Spring, JSP, EJB, Struts, Struts2, SOAP, REST, C, C++, Hibernate, NHibernate, Weblogic, XML, XSLT, Unix script, Ruby, and Python.DAVID FLYNN is an Associate Analyst in Employee Access Business Operations at Mastercard. He is an Electronic Engineer with experience in telecommunications, networks, software, security and Financial Systems. David started out as a Telecommunications Engineer working on Voice, data and wireless systems for Energis and later Nortel Networks supporting systems such as Lucent G3r, Alcatel E10 & Nortel Passport. He then did some time in Transport and Private security abroad before retraining in Computing, Cyber Security and Cloud Systems plus doing Cyber Security & Telecomm research for the Civil Service. He has completed separate Diplomas in Computing and Cloud focusing on Windows, C# , Google, AWS and Powershell amongst other technologies. David also has worked as a C# Engineer. More recently David has worked for various fintech companies including Bank Of America Merril Lynch focusing on technical & Application Support encompassing such technologies as Rsa Igl, Rsa SecurID, IBM Tam/Isam, Postgres/Oracle databases, Mainframe, Tandem, CyberArk, MaxPro and Active Directory.1 Introduction to HCLDefine the history of HCL, the basic syntax and, show the basic configuration syntax and the basic usage of the HCL2 The Hashicorp ecosystemShow the different software create by Hashicorpt like Vault, Consul, Terraform3 Introduction to GoA small introduction on the Go language, we use Go to define the configuration template described in the book4 Infrastructure As CodeDefine what is the Infrastructure as Code and how we can do that5 Introduction to the Cloud and DevOpsIn this chapter, we have a short introduction to the Cloud and the DevOps6 Use HCL for TerraformWe start to use the HCL for define Terraform template7 Consul HCLIn this chapter we introduce the HCL for Consul, we learn how to configure Consul using the HCL8 Vault HCLUse the HCL for configure Vault9 Infrastructure as Code with HCLDesign the Infrastructure as Code use the Hashicorp language, in particular, we use Terraform, Vault and Consul10 Provisioning and Maintain the Infrastructure as CodeIn this chapter, we see how to use Jenkins and the HCL for provisioning and maintain the infrastructure as code
Essential TypeScript 4
Learn the essentials and more of TypeScript, a popular superset of the JavaScript language that adds support for static typing. TypeScript combines the typing features of C# or Java with the flexibility of JavaScript, reducing typing errors and providing an easier path to JavaScript development.Author ADAM FREEMAN explains how to get the most from TypeScript 4 in this second edition of his best-selling book.He begins by describing the TypeScript language and the benefits it offers and then shows you how to use TypeScript in real-world scenarios, including development with the DOM API, and popular frameworks such as Angular and React. He starts from the nuts-and-bolts and builds up to the most advanced and sophisticated features.Each topic is covered clearly and concisely, and is packed with the details you need to be effective. The most important features are given a no-nonsense, in-depth treatment and chapters include common problems and teach you how to avoid them.WHAT YOU WILL LEARN* Gain a solid understanding of the TypeScript language and tools* Use TypeScript for client- and server-side development* Extend and customize TypeScript* Test your TypeScript code* Apply TypeScript with the DOM API, Angular, React, and Vue.js WHO THIS BOOK IS FORJavaScript developers who want to use TypeScript to create client-side or server-side applicationsADAM FREEMAN is an experienced IT professional who has held senior positions at a range of companies, most recently serving as chief technology officer and chief operating officer of a global bank. Now retired, he spends his time writing and long-distance running.PART 1 - GETTING STARTED WITH TYPESCRIPT1. Your First TypeScript Application2. Understanding TypeScript3. JavaScript Types Primer, Part 14. JavaScript Types Primer, Part 25. Using the TypeScript Compiler6. Testing and Debugging TypeScriptPART 2 - WORKING WITH TYPESCRIPT7. Understanding Status Types8. Using Functions9. Using Arrays, Tuples and Enums10. Working with Objects11. Working with Classes and Interfaces12. Using Generic Types13. Advanced Generic Types14. Working with JavaScriptPART 3 - CREATING WEB APPLICATIONS15. Creating a Stand-Alone Web App, Part 116. Creating a Stand-Alone Web App, Part 217. Creating an Angular App, Part 118. Creating an Angular App, Part 219. Creating a React App, Part 120. Creating a React App, Part 221. Creating a Vue.js App, Part 122. Creating a Vue.js App, Part 2
Deep Learning with Python
Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This updated edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with PyTorch, a platform developed by Facebook’s Artificial Intelligence Research Group.You'll start with a perspective on how and why deep learning with PyTorch has emerged as an path-breaking framework with a set of tools and techniques to solve real-world problems. Next, the book will ground you with the mathematical fundamentals of linear algebra, vector calculus, probability and optimization. Having established this foundation, you'll move on to key components and functionality of PyTorch including layers, loss functions and optimization algorithms.You'll also gain an understanding of Graphical Processing Unit (GPU) based computation, which is essential for training deep learning models. All the key architectures in deep learning are covered, including feedforward networks, convolution neural networks, recurrent neural networks, long short-term memory networks, autoencoders and generative adversarial networks. Backed by a number of tricks of the trade for training and optimizing deep learning models, this edition of Deep Learning with Python explains the best practices in taking these models to production with PyTorch.WHAT YOU'LL LEARN* Review machine learning fundamentals such as overfitting, underfitting, and regularization.* Understand deep learning fundamentals such as feed-forward networks, convolution neural networks, recurrent neural networks, automatic differentiation, and stochastic gradient descent.* Apply in-depth linear algebra with PyTorch* Explore PyTorch fundamentals and its building blocks* Work with tuning and optimizing models WHO THIS BOOK IS FORBeginners with a working knowledge of Python who want to understand Deep Learning in a practical, hands-on manner.Nikhil S. Ketkar currently leads the Machine Learning Platform team at Flipkart, India’s largest e-commerce company. He received his Ph.D. from Washington State University. Following that he conducted postdoctoral research at University of North Carolina at Charlotte, which was followed by a brief stint in high frequency trading at Transmaket in Chicago. More recently he led the data mining team in Guavus, a startup doing big data analytics in the telecom domain and Indix, a startup doing data science in the e-commerce domain. His research interests include machine learning and graph theory.Jojo Moolayil is an artificial intelligence, deep learning, machine learning, and decision science professional with over five years of industrial experience and is a published author of the book Smarter Decisions – The Intersection of IoT and Decision Science. He has worked with several industry leaders on high-impact and critical data science and machine learning projects across multiple verticals. He is currently associated with Amazon Web Services as a research scientist. He was born and raised in Pune, India and graduated from the University of Pune with a major in Information Technology Engineering. He started his career with Mu Sigma Inc., the world’s largest pure-play analytics provider and worked with the leaders of many Fortune 50 clients. He later worked with Flutura – an IoT analytics startup and GE. He currently resides in Vancouver, BC. Apart from writing books on decision science and IoT, Jojo has also been a technical reviewer for various books on machine learning, deep learning and business analytics with Apress and Packt publications. He is an active data science tutor and maintains a blog at http://blog.jojomoolayil.com.CHAPTER 1 – INTRODUCTION DEEP LEARNINGA brief introduction to Machine Learning and Deep Learning. We explore foundational topics within the subject that provide us the building blocks for several topics within the subject.CHAPTER 2 – INTRODUCTION TO PYTORCHA quick-start guide to PyTorch and a comprehensive introduction to tensors, linear algebra and mathematical operations for Tensors. The chapter provides the required PyTorch foundations for readers to meaningfully implement practical Deep Learning solutions for various topics within the book. Advanced PyTorch topics are explored as and when touch-based during the course of exercises in later chapter.CHAPTER 3- FEED FORWARD NETWORKS (30 PAGES)In this chapter, we explore the building blocks of a neural network and build an intuition on training and evaluating networks. We briefly explore loss functions, activation functions, optimizers, backpropagation, that could be used for training. Finally, we would stitch together each of these smaller components into a full-fledged feed-forward neural network with PyTorch.CHAPTER 4-AUTOMATIC DIFFERENTIATION IN DEEP LEARNINGIn this chapter we open this black box topic within backpropagation that enables training of neural networks i.e. automatic differentiation. We cover a brief history of other techniques that were ruled out in favor of automatic differentiation and study the topic with a practical example and implement the same using PyTorchs Autograd module.CHAPTER 5 – TRAINING DEEP NEURAL NETWORKSIn this chapter we explore few additional important topics around deep learning and implement them into a practical example. We will delve into specifics of model performance and study in detail about overfitting and underfitting, hyperparameter tuning and regularization. Finally, we will leverage a real dataset and combined our learnings from the beginning of this book into a practical example using PyTorch.CHAPTER 6 – CONVOLUTIONAL NEURAL NETWORKS (35 PAGES)Introduction to Convolutional Neural Networks for Computer Vision. We explore the core components with CNNs with examples to understand the internals of the network, build an intuition around the automated feature extraction, parameter sharing and thus understand the holistic process of training CNNs with incremental building blocks. We also leverage hands-on exercises to study the practical implementation of CNNs for a simple dataset i.e. MNIST (classification of handwritten digits), and later extend the exercise for a binary classification use-case with the popular cats and dogs’ dataset.CHAPTER 7 – RECURRENT NEURAL NETWORKSIntroduction to Recurrent Neural Networks and its variants (viz. Bidirectional RNNs and LSTMs). We explore the construction of a recurrent unit, study the mathematical background and build intuition around how RNNs are trained by exploring a simple four step unrolled network. We then explore hands-on exercises in natural language processing that leverages vanilla RNNs and later improve their performance by using Bidirectional RNNS combined with LSTM layers.CHAPTER 8 – RECENT ADVANCES IN DEEP LEARNINGA brief note of the cutting-edge advancements in the field will be added. We explore important inventions within the field with no implementation details, however focus on the applications and the path forward.
Practical Machine Learning for Streaming Data with Python
Design, develop, and validate machine learning models with streaming data using the Scikit-Multiflow framework. This book is a quick start guide for data scientists and machine learning engineers looking to implement machine learning models for streaming data with Python to generate real-time insights.You'll start with an introduction to streaming data, the various challenges associated with it, some of its real-world business applications, and various windowing techniques. You'll then examine incremental and online learning algorithms, and the concept of model evaluation with streaming data and get introduced to the Scikit-Multiflow framework in Python. This is followed by a review of the various change detection/concept drift detection algorithms and the implementation of various datasets using Scikit-Multiflow.Introduction to the various supervised and unsupervised algorithms for streaming data, and their implementation on various datasets using Python are also covered. The book concludes by briefly covering other open-source tools available for streaming data such as Spark, MOA (Massive Online Analysis), Kafka, and more.WHAT YOU'LL LEARN* Understand machine learning with streaming data concepts* Review incremental and online learning* Develop models for detecting concept drift* Explore techniques for classification, regression, and ensemble learning in streaming data contexts* Apply best practices for debugging and validating machine learning models in streaming data context* Get introduced to other open-source frameworks for handling streaming data.WHO THIS BOOK IS FORMachine learning engineers and data science professionalsDr. Sayan Putatunda is an experienced data scientist and researcher. He holds a Ph.D. in Applied Statistics/ Machine Learning from the Indian Institute of Management, Ahmedabad (IIMA) where his research was on streaming data and its applications in the transportation industry. He has a rich experience of working in both senior individual contributor and managerial roles in the data science industry with multiple companies such as Amazon, VMware, Mu Sigma, and more. His research interests are in streaming data, deep learning, machine learning, spatial point processes, and directional statistics. As a researcher, he has multiple publications in top international peer-reviewed journals with reputed publishers. He has presented his work at various reputed international machine learning and statistics conferences. He is also a member of IEEE.Chapter 1: An Introduction to Streaming DataChapter Goal: Introduce the readers to the concept of streaming data, the various challenges associated with it, some of its real-world business applications, various windowing techniques along with the concepts of incremental and online learning algorithms. This chapter will also help in understanding the concept of model evaluation in case of streaming data and provide and introduction to the Scikit-Multiflow framework in Python.No of pages- 35Sub -Topics1. Streaming data2. Challenges of streaming data3. Concept drift4. Applications of streaming data5. Windowing techniques6. Incremental learning and online learning7. Illustration : Adopting batch learners into incremental learners8. Introduction to Scikit-Multiflow framework9. Evaluation of streaming algorithmsChapter 2: Change DetectionChapter Goal: Help the readers to understand the various change detection/concept drift detection algorithms and its implementation on various datasets using Scikit-Multiflow.No of pages : 35Sub - Topics:1. Change detection problem2. Concept drift detection algorithms3. ADWIN4. DDM5. EDDM6. Page HinkleyChapter 3: Supervised and Unsupervised Learning for Streaming DataChapter Goal: Help the readers to understand the various regression and classification (including Ensemble Learning) algorithms for streaming data and its implementation on various datasets using Scikit-Multiflow. Also, discuss some approaches for clustering with streaming data and its implementation using Python.No of pages: 35Sub - Topics:1. Regression with streaming data2. Classification with streaming data3. Ensemble Learning with streaming data4. Clustering with streaming dataChapter 4: Other Tools and the Path ForwardChapter Goal: Introduce the readers to the other open source tools for handling streaming data such as Spark streaming, MOA and more. Also, educate the reader about additional reading for advanced topics within streaming data analysis.No of pages: 35Sub - Topics:1. Other tools for handling streaming data1.1.1. Apache Spark1.1.2. Massive Online Analysis (MOA)1.1.3. Apache Kafka2. Active research areas and breakthroughs in streaming data analysis3. Conclusion
C Programming on Raspberry Pi
The Raspberry Pi has traditionally been programmed using Python. Although this is a very powerful language, many programmers may not be familiar with it. C on the other hand is perhaps the most commonly used programming language and all embedded microcontrollers can be programmed using it.The C language is taught in most technical colleges and universities and almost all engineering students are familiar with using it with their projects. This book is about using the Raspberry Pi with C to develop a range of hardware-based projects. Two of the most popular C libraries, wiringPi and pigpio are used.The book starts with an introduction to C and most students and newcomers will find this chapter invaluable. Many projects are provided in the book, including using Wi-Fi and Bluetooth to establish communication with smartphones.Many sensor and hardware-based projects are included. Both wiringPi and pigpio libraries are used in all projects. Complete program listings are given with full explanations. All projects have been fully tested and work.The following hardware-based projects are provided in the book:> Using sensors> Using LCDs> I 2 C and SPI buses> Serial communication> Multitasking> External and timer interrupts> Using Wi-Fi> Webservers> Communicating with smartphones> Using Bluetooth> Sending data to the cloudProgram listings of all Raspberry Pi projects developed in this book are available on the Elektor website. Readers can download and use these programs in their projects. Alternatively, they can customize them to suit their applications.Prof. Dr. Dogan Ibrahim is a Fellow of the Institution of Electrical Engineers. He is the author of over 60 technical books, published by publishers including Wiley, Butterworth, and Newnes. He is the author of over 250 technical papers, published in journals, and presented in seminars and conferences
Der pragmatische Programmierer (2. Auflg.)
Ihr Weg zur Meisterschaft - die 2. vollständig überarbeitete Auflage, 04/2021.Der Pragmatische Programmierer ist eines dieser seltenen Fachbücher, die Sie im Lauf der Jahre immer wieder lesen werden. Egal, ob Sie Programmiereinsteiger oder erfahrener Praktiker sind, stets können Sie neue Einsichten gewinnen.David Thomas und Andrew Hunt schrieben 1999 die erste Ausgabe dieses einflussreichen Buches, um ihren Kunden zu helfen, bessere Software zu entwickeln und die Freude am Programmieren wiederzuentdecken. Ihre pragmatischen Profitipps helfen bis heute einer ganzen Generation von Programmierern, den Kosmos der Software-Entwicklung zu erkunden, unabhängig von einer bestimmten Sprache oder Methodik oder einem bestimmten Framework.Ihre »Pragmatische Philosophie« hat den Weg bereitet für Hunderte von Büchern, Screencasts und Hörbüchern sowie Tausende von Karrieren und Erfolgsgeschichten. Zwanzig Jahre später untersuchen die Autoren nun erneut, was einen modernen Programmierer ausmacht. Die Themen reichen von persönlicher Verantwortung über berufliche Entwicklung bis hin zu Architekturtechniken, die Ihren Code flexibel, leicht anpassbar und wiederverwendbar halten.In kurzen Abschnitten, die auch einzeln gelesen werden können, erläutern die Autoren nicht nur die Best Practices, sondern auch Fallstricke bei der Software-Entwicklung. Anschauliche Beispiele und interessante Analogien machen dieses Buch zu einem Lesevergnügen.Egal ob Einsteiger, erfahrener Programmierer oder Manager für Softwareprojekte: Wer die Profitipps der Autoren bei der täglichen Arbeit anwendet, wird seine Produktivität, Genauigkeit und Zufriedenheit rasch steigern und damit als Pragmatischer Programmierer auch langfristig erfolgreich seinErfahren Sie im Buch, wie Sie:den Verfall von Software bekämpfenRedundanz vermeidenflexiblen, dynamischen und anpassungsfähigen Quelltext schreibenIhr Handwerkszeug optimal nutzenvermeiden, mit dem Zufall zu programmierendie richtigen Anforderungen findensich vor Sicherheitslücken schützenProbleme beim nebenläufigen Code lösenTeams aus Pragmatischen Programmierern bildeneffektiv testendas Pragmatic Starter Kit implementierenIhre Anwender begeisternLeseprobe (PDF-Link)
Neuronale Netze mit C# programmieren
Mit praktischen Beispielen für Machine Learning im Unternehmenseinsatz.Sie wollen neuronale Netze und Machine-Learning-Algorithmen mit C# entwickeln? Dann finden Sie in diesem Buch eine gut verständliche Einführung in die Grundlagen und es wird Ihnen gezeigt, wie Sie neuronale Netze und Machine-Learning-Algorithmen in Ihren eigenen Projekten praktisch einsetzen.Mithilfe von Beispielen erstellen und trainieren Sie Ihr erstes neuronales Netz zur vorausschauenden Wartung einer Produktionsmaschine.Im Praxisteil lernen Sie dann, wie Sie TensorFlow-Modelle in ML.NET benutzen oder Infer.NET direkt verwenden können. Des Weiteren nutzen Sie die Predictive- und Sentiment-Analyse, um sich mit Machine-Learning-Algorithmen vertraut zu machen.Alle im Buch vorgestellten Projekte sind in C# programmiert und stehen als Download zur Verfügung. Grundkenntnisse in C# werden für die Arbeit mit dem Buch vorausgesetzt. Alle Projekte lassen sich ohne größere Rechnerressourcen umsetzen.Daniel Basler arbeitet als Lead Developer und Softwarearchitekt. Seine Schwerpunkte liegen auf Cross-Platform-Apps, Android, JavaScript und Microsoft-Technologien. Er entwickelt u.a. Software für Regal- und Flächenlagersysteme sowie Anlagenvisualisierung und setzt in diesem Umfeld verstärkt Machine-Learning-Methoden ein. Darüber hinaus schreibt er regelmäßig Artikel für die Fachzeitschriften dotnetpro und web&mobile Developer.Leseprobe (PDF-Link)
PHP 8 Objects, Patterns, and Practice
Learn how to develop elegant and rock-solid systems using PHP, aided by three key elements: object fundamentals, design principles, and best practices. The 6th edition of this popular book has been fully updated for PHP 8, including attributes, constructor property promotion, new argument and return pseudo-types, and more. It also covers many features new since the last edition including typed properties, the null coalescing operator, and void return types. This book provides a solid grounding in PHP's support for objects, it builds on this foundation to instill core principles of software design and then covers the tools and practices needed to develop, test, and deploy robust code.PHP 8 Objects, Patterns, and Practice begins by covering PHP's object-oriented features. It introduces key topics including class declarations, inheritance, and reflection. The next section is devoted to design patterns. It explains the principles that make patterns powerful. You’ll cover many of the classic design patterns including enterprise and database patterns. The last segment of the book covers the tools and practices that can help turn great code into a successful project. The section shows how to manage multiple developers and releases with git, and how to manage builds and dependencies with Composer. It also explores strategies for automated testing and continuous integration.After reading and using this book, you will have mastered object-oriented enhancements, design patterns, and the essential development tools available for PHP 8.WHAT YOU WILL LEARN* Work with object fundamentals: write classes and methods, instantiate objects, and create powerful class hierarchies using inheritanceMaster advanced object-oriented features, including static methods and properties, managing error conditions with exceptions, and creating abstract classes and interfaces * Understand and use design principles to deploy objects and classes effectively in your projects* Discover a set of powerful patterns that you can implement in your own projects* Guarantee a successful project including unit testing; version control and build, installation, and package management; and continuous integrationWHO THIS BOOK IS FORAnyone with at least a basic knowledge of PHP who wants to use its object-oriented features in their projects. It is also for PHP coders who want to learn about the practices and tools (version control, testing, continuous integration, etc) that can make projects safe, elegant and stable.MATT ZANDSTRA has worked as a web programmer, consultant, and writer for over two decades. He is the author of SAMS Teach Yourself PHP in 24 Hours (three editions) and is a contributor to DHTML Unleashed. He has written articles for Linux Magazine, Zend, IBM DeveloperWorks, and php|architect Magazine, among others. Matt was a senior developer/tech lead at Yahoo and API tech lead at LoveCrafts. Matt works as a consultant advising companies on their architectures and system management, and also develops systems primarily with PHP, and Java. Matt also writes fiction.Part I. Objects.-1. PHP: Design and Management.-2. PHP and Objects.-3. Object Basics.-4. Advanced Features.-5. Object Tools.-6. Objects and Design.-Part II. Patterns.-7. What Are Design Patterns? Why Use Them?.-8. Some Pattern Principles.-9. Generating Objects.-10. Patterns for Flexible Object Programming.-11. Performing and Representing Tasks.-12. Enterprise Patterns.-13. Database Patterns.-Part III. Practice.-14. Good (and Bad) Practice.-15. PHP Standards.-16. PHP Using and Creating Components with Composer.-17. Version Control with Git.-18. Testing.-19. Automated Build with Phing.-20. Vagrant.-21. Continuous Integration.-22. Objects, Patterns, and Practice.-23. App A: Bibliography.-24. App B: A Simple Parser.
Visualizing Data in R 4
Master the syntax for working with R’s plotting functions in graphics and stats in this easy reference to formatting plots. The approach in Visualizing Data in R 4 toward the application of formatting in ggplot() will follow the structure of the formatting used by the plotting functions in graphics and stats. This book will take advantage of the new features added to R 4 where appropriate including a refreshed color palette for charts, Cairo graphics with more fonts/symbols, and improved performance from grid graphics including ggplot 2 rendering speed.Visualizing Data in R 4 starts with an introduction and then is split into two parts and six appendices. Part I covers the function plot() and the ancillary functions you can use with plot(). You’ll also see the functions par() and layout(), providing for multiple plots on a page. Part II goes over the basics of using the functions qplot() and ggplot() in the package ggplot2. The default plots generated by the functions qplot() and ggplot() give more sophisticated-looking plots than the default plots done by plot() and are easier to use, but the function plot() is more flexible. Both plot() and ggplot() allow for many layers to a plot.The six appendices will cover plots for contingency tables, plots for continuous variables, plots for data with a limited number of values, functions that generate multiple plots, plots for time series analysis, and some miscellaneous plots. Some of the functions that will be in the appendices include functions that generate histograms, bar charts, pie charts, box plots, and heatmaps.WHAT YOU WILL LEARN* Use R to create informative graphics* Master plot(), qplot(), and ggplot()* Discover the canned graphics functions in stats and graphicsFormat plots generated by plot() and ggplot()WHO THIS BOOK IS FORThose in data science who use R. Some prior experience with R or data science is recommended.Margot Tollefson, PhD is a semi-retired freelance statistician, with her own consulting business, Vanward Statistics. She received her PhD in statistics from Iowa State University and has many years of experience applying R to statistical research problems. Dr. Tollefson has chosen to write this book because she often creates graphics using R and would like to share her knowledge and experience. Her professional blog is on WordPress at vanwardstat. Social media: @vanstat1) Introduction: plot(), qplot(), and ggplot(), Plus Somea) plot() – arguments, ancillary functions, and methods; par() and layout()b) qplot() and ggplot() – aesthetics, geometries, and other useful functionsc) other plotting functions in graphics and statsPart I. An Overview of plot()2) The plot() Functiona) what the function is and how the function worksb) will use method .xy for example3) The Arguments to plot()a) Type of plot, axis labels, plot titles, display formatb) Plotting characters, character size, fonts, colors, line styles and widths4) Ancillary Functions to use with plot()a) axis(), box(), clip(), grid(), legend(), mtext(), rug()b) abline(), contour(), curve(), lines(), polypath()c) arrows(), image(), points(), polygon(), rect(), segments(), symbols(), text()d) axTicks(), identify(), locator(), pch(), strwidth(),5) The Methods for plot()a) What are methods?b) Methods in the graphics packagec) Methods in the stats package6) How to Use the Functions par() and layout()a) What par() doesb) Arguments specific to par()c) Multiple plotsPart II. A look at the ggplot2 Package7) The Functions qplot(), ggplot(), and the Specialized Notation in ggplot2a) Working with qplot()b) The ggplot() functionc) Specialized notation8) Themesa) The theme() functionb) The element_*() functions9) Aesthetics and Geometriesa) The aes() functionb) The geom_*() functions10) Controlling the Appearancea) The annotate_*() functionsb) The coord_*() functionsc) The facet_*() functionsd) The guide_*() functionse) The position_*() functionsf) The scale_*() functionsg) The stat_*() functionsAppendix I. Plots for Contingency TablesAppendix II. Plots for Continuous VariablesAppendix III. Plots for Data with a Limited Number of ValuesAppendix IV. Functions that Generate Multiple PlotsAppendix V. Plots for Time SeriesAppendix VI. Miscellaneous Plots
R2DBC Revealed
Understand the newest trend in database programming for developers working in Java, Kotlin, Clojure, and other JVM-based languages. This book introduces Reactive Relational Database Connectivity (R2DBC), a modern way of connecting to and querying relational databases from Java and other JVM languages. The book begins by helping you understand not only what reactive programming is, but why it is necessary. Then building on those fundamentals, the book takes you into the world of databases and the newly released Reactive Relational Database Connectivity (R2DBC) specification.Examples in the book are worked using the freely available MariaDB database along with MariaDB’s vendor-implementation of the R2DBC service-provider interface (SPI). Following along with the examples and the provided example code helps prepare you to work with any of the growing number of R2DBC implementations for popular enterprise databases such as Oracle Database and SQL Server. You’ll be well prepared for what is becoming the future of database access from Java and other languages built on the JVM.WHAT YOU WILL LEARN* Understand why R2DBC was created and how it utilizes the Reactive Streams API * Understand the components of the R2DBC service-provider interface* Create and manage reactive database connections and connection pools using an R2DBC client* Programmatically execute queries on a relational database using an R2DBC client* Effectively utilize transactions using an R2DBC client* Build relational database-driven applications that are event-driven and non-blockingWHO THIS BOOK IS FORSoftware developers building solutions using JVM languages and the JVM ecosystem, and developers who need an introduction to the R2DBC specification and reactive programming with relational databases and want to understand what Reactive Relational Database Connectivity is and why it came about. This book includes practical examples of using the R2DBC specification with Java and MariaDB that will provide developers with the knowledge they need to create their own solutions.ROB HEDGPETH is a professional software engineer and developer relations enthusiast residing in the bustling metropolis of Chicago, Illinois. Rob has more than 12 years of professional development experience, primarily in the application development space. Throughout the years he has contributed to the architecture and development of many apps, using a large array of languages and technologies. Now as a developer advocate and evangelist for MariaDB, Rob gets to combine his love for technology with his mission to fuel developers' curiosity and passion. IntroductionPART I. THE REACTIVE MOVEMENT AND R2DBC1. The Case for Reactive Programming2. Introduction to R2DBCPART II. THE R2DBC SERVICE-PROVIDER INTERFACE3. The Path to Implementation4. Connections5. Transactions6. Statements7. Handling Results8. Result Metadata9. Mapping Data Types10. Handling ExceptionsPART III. GETTING STARTED WITH R2DBC AND MARIADB11. Getting Stated with R2DBC12. Managing Connections13. Managing Data14. Managing Transactions15. Connection Pooling16. Practical Applications with Spring Data and R2DBC