Programmierung
Coole Spiele mit Scratch 3 (2. Auflg.)
Mit Videospielen programmieren lernen – ohne Code zu schreiben! 2. überarbeitete und aktualisierte Auflage.Scratch, die farbenfrohe Drag-and-drop-Programmiersprache, wird auf der ganzen Welt von Millionen von Anfängern verwendet, und die zweite Ausgabe von »Coole Spiele mit Scratch« wurde jetzt vollständig aktualisiert. Die Verwendung mit Scratch 3 macht es einfacher denn je, deine Programmierfähigkeiten Block für Block aufzubauen. Du lernst spielerisch zu programmieren, indem du Videospiele erschaffst, in denen beim Katzenwerfen ins Schwarze getroffen, Asteroiden zerstört und ein KI-Feind überlistet werden können. Mit Scratch 3 geht das jetzt auch auf Mobilgeräten und dem Raspberry Pi – und immer ganz ohne Installation.»Coole Spiele mit Scratch 3« leitet Kinder und Programmierneulinge zum Programmieren an. Beispiele und Sprache des Buches sind leichtverständlich gehalten; für Kinder in den ersten Grundschulklassen wird empfohlen, die Kapitel gemeinsam mit Älteren durchzugehen.In jeden Kapitel wirst du ein Spiel erstellen und dabei die wichtigsten Programmierkonzepte kennenlernen und direkt anwenden. Von einer Skizze, die festlegt, wie das Spiel aussehen soll, führt eine Schritt-für-Schritt-Anleitung zum funktionierenden Videospiel. Diese Spiele kannst du nach eigenen Vorstellungen gestalten, indem du spezielle Funktionen, zusätzliche Level und sogar Cheat-Modi hinzufügst.Zu den Programmierbeispielen gehören Spiele wie z.B.:Maze Runner, mit acht verschiedenen Levels, durch die man entkommen mussKörbewerfen unter Schwerkraftbedingungen (und mit Katzen!), inklusive realistischer FlugbahnEin Brick-Breaker-Spiel mit Animationen und Soundeffekten von simpel bis edelAsteroidenknacker, ein Klon des klassischen Asteroids-Spiels mit einem tastaturgesteuertem RaumschiffEin Mario-Bros.-ähnliches Jump-&-Run-Spiel mit viel Action und KI-gesteuerten FeindenEs ist nie zu früh (oder zu spät), mit dem Programmieren anzufangen, und »Coole Spiele mit Scratch 3« macht den Lernprozess nicht nur lustig – es lässt die Programmiererinnen und Coder in spe auch ein Spiel daraus machen!Über den Autor:Al Sweigart ist Softwareentwickler und vermittelt Coding-Kenntnisse an Erwachsene und Kinder. Er hat mehrere Programmierlehrbücher für Einsteiger (und auch solche für Fortgeschrittene) geschrieben, unter anderem Routineaufgaben mit Python automatisieren, das ebenfalls bei dpunkt erschienen ist.
Beginning Java 17 Fundamentals
Learn the fundamentals of the Java 17 LTS or Java Standard Edition version 17 Long Term Support release, including basic programming concepts and the object-oriented fundamentals necessary at all levels of Java development. Authors Kishori Sharan and Adam L. Davis walk you through writing your first Java program step-by-step. Armed with that practical experience, you'll be ready to learn the core of the Java language. Beginning Java 17 Fundamentals provides over 90 diagrams and 240 complete programs to help you learn the topics faster.While this book teaches you the basics, it also has been revised to include the latest from Java 17 including the following: value types (records), immutable objects with an efficient memory layout; local variable type inference (var); pattern matching, a mechanism for testing and deconstructing values; sealed types, a mechanism for declaring all possible subclasses of a class; multiline text values; and switch expressions.The book continues with a series of foundation topics, including using data types, working with operators, and writing statements in Java. These basics lead onto the heart of the Java language: object-oriented programming. By learning topics such as classes, objects, interfaces, and inheritance you'll have a good understanding of Java's object-oriented model. The final collection of topics takes what you've learned and turns you into a real Java programmer.You'll see how to take the power of object-oriented programming and write programs that can handle errors and exceptions, process strings and dates, format data, and work with arrays to manipulate data.WHAT YOU WILL LEARN* Write your first Java programs with emphasis on learning object-oriented programming* How to work with switch expressions, value types (records), local variable type inference, pattern matching switch and more from Java 17* Handle exceptions, assertions, strings and dates, and object formatting* Learn about how to define and use modules* Dive in depth into classes, interfaces, and inheritance in Java* Use regular expressions* Take advantage of the JShell REPL toolWHO THIS BOOK IS FORThose who are new to Java programming, who may have some or even no prior programming experience.KISHORI SHARAN has earned a Master of Science in Computer Information Systems degree from Troy State University, Alabama. He is a Sun Certified Java 2 programmer. He has vast experience in providing training to professional developers in Java, JSP, EJB, and Web technology. He possesses over ten years of experience in implementing enterprise level Java application.ADAM L. DAVIS makes software. He’s spent many years developing in Java (since Java 1.2) and has enjoyed using Spring and Hibernate for more than a decade. Since 2006 he’s been using Groovy, Grails, HTML, CSS, and JavaScript, in addition to Java, to create SaaS web applications that help track finances for large institutions (among other things). Adam has a master’s and a bachelor’s degree in Computer Science from Georgia Tech. He is also the author of Reactive Streams in Java (Apress, 2019), Learning Groovy 3, Second Edition (Apress, 2019) and Modern Programming Made Easy, Second Edition (Apress, 2020).1. Programming Concepts2. Setting Up the Environment3. Writing Java Programs4. Data Types5. Operators6. Statements7. Classes and Objects8. Methods9. Constructors10. Modules11. Object and Objects Classes12. Wrapper Classes13. Execution Handling14. Assertions15. Strings16. Dates and Times17. Formatting Data18. Regular Expressions19. Arrays20. Inheritance21. Interfaces22. Enum Types23. Java ShellAppendix A: Character EncodingsAppendix B: Documentation Comments
Hands-on Matplotlib
Learn the core aspects of NumPy, Matplotlib, and Pandas, and use them to write programs with Python 3. This book focuses heavily on various data visualization techniques and will help you acquire expert-level knowledge of working with Matplotlib, a MATLAB-style plotting library for Python programming language that provides an object-oriented API for embedding plots into applications.You'll begin with an introduction to Python 3 and the scientific Python ecosystem. Next, you'll explore NumPy and ndarray data structures, creation routines, and data visualization. You'll examine useful concepts related to style sheets, legends, and layouts, followed by line, bar, and scatter plots. Chapters then cover recipes of histograms, contours, streamplots, and heatmaps, and how to visualize images and audio with pie and polar charts.Moving forward, you'll learn how to visualize with pcolor, pcolormesh, and colorbar, and how to visualize in 3D in Matplotlib, create simple animations, and embed Matplotlib with different frameworks. The concluding chapters cover how to visualize data with Pandas and Matplotlib, Seaborn, and how to work with the real-life data and visualize it. After reading Hands-on Matplotlib you'll be proficient with Matplotlib and able to comfortably work with ndarrays in NumPy and data frames in Pandas.WHAT YOU'LL LEARN* Understand Data Visualization and Python using Matplotlib* Review the fundamental data structures in NumPy and Pandas * Work with 3D plotting, visualizations, and animations* Visualize images and audio dataWHO THIS BOOK IS FORData scientists, machine learning engineers and software professionals with basic programming skills.Ashwin Pajankar holds a Master of Technology from IIIT Hyderabad, and has over 25 years of programming experience. He started his journey in programming and electronics with BASIC programming language and is now proficient in Assembly programming, C, C++, Java, Shell Scripting, and Python. Other technical experience includes single board computers such as Raspberry Pi and Banana Pro, and Arduino.Chapter 1: Getting Started with Python and Jupyter NotebookChapter Goal: Introduce the reader to the basics of Python programming language, philosophy, and installation. We will also learn how to install it on various platforms. This chapter also introduces the readers to Python programming with Jupyter notebook. In the end, we will also have a brief overview of the constituent libraries of SciPy stack.No of pages - 26Sub -Topics• Python Programming Language• Installing Python on various platforms• Python Modes• Python IDEs• Scientific Python Ecosystem• Overview of Jupyter Notebook• Setting up Jupyter Notebook• Running Code in Jupyter NotebookChapter 2: Getting Started with NumPyChapter Goal: Get started with NumPy Ndarrays and basics of NumPy library. The chapter covers the instructions for installation and basic usage of NumPy.No of pages: 9Sub - Topics:· Introduction to the NumPy Ndarrays· Ndarray Properties· NumPy ConstantsChapter 3 : NumPy Routines and Getting started with MatplotlibChapter goal – In this chapter, we will discuss the various Ndarray creation routines available in NumPy. We will also get started with visualizations with Matplotlib. We will learn how to visualize the various numerical ranges with Matplotlib.No of pages: 15Sub - Topics:· Routines for creating Ndarrays· Matplotlib· Visualization with NumPy and MatplotlibChapter 4 : Revisiting Matplotlib VisualizationsChapter goal – This chapter is focused on learning the details of Matplotlib styles for visualizing NumPy Ndarrays.No of pages: 24Sub - Topics:• Single Line Plots• Multiline plots• Grid, Axes, and Labels• Colors, Lines, and Markers• Subplots• Object Oriented Style• Working with the textChapter 5 : Styles and LayoutsChapter goal – This chapter is focused on learning the details of Matplotlib styles and layouts.No of pages: 12Sub - Topics:1. Styles2. layoutsChapter 6 : Line, Bar, and Scatter PlotsChapter goal – In this chapter, we will learn how to create nice visualizations with lines, bars, and scatter.No of pages: 14Sub - Topics:· Lines and Logs· Errorbar· Bar Graphs· Scatter PlotChapter 7 : Histograms, Contours, and StreamplotsChapter goal – In this chapter, we will learn how to create nice visualizations histograms, contours, and streamplots.No of pages: 15Sub - Topics:• Histograms• Contours• Plot vector entities with streamplotsChapter 8 : Image and Audio VisualizationChapter goal – Learn to work with Image Processing using NumPy and Matplotlib. Also learn how to process and visualize audio data as waveforms.No of pages: 15Sub - Topics:• Visualizing images• Interpolation Methods• Audio Visualization• Audio ProcessingChapter 9 : Pie and Polar ChartsChapter goal – Learn to work with Pie and Polar charts.No of pages: 12Sub - Topics:1. Pie charts2. Polar chartsChapter 10 : PColor, Pcolormesh, and ColorbarChapter goal – In this chapter, we will learn Pcolor, Pcolormesh, and colorbar.No of pages: 10Sub - Topics:1. PColor2. Pcolormesh3. ColorbarChapter 11 : 3D Visualizations in MatplotlibChapter goal – In this chapter, we will learn how to create 3D visualizations.No of pages: 17Sub - Topics:• Getting Ready• Plotting 3D Line• 3D Scatter plot• 3D Contours• Wireframe, Surface, and Sample Data• Bar graphs• Quiver and Stemplot• 3D VolumesChapter 12 : Animations with MatplotlibChapter goal – In this chapter, we will learn how to create simple animations with Matplotlib.No of pages: 8Sub - Topics:• Animation Basics• Celluloid libraryChapter 13 : More Recipes of Visualizations with MatplotlibChapter goal – In this chapter, we will learn more types of visualizations with Matplotlib.No of pages: 14Sub - Topics:· Visualizing Function as an image and a contour· 3D Vignette· Decorated Scatter Plots· Time plots and Signals· Filled Plots· Step Plots· Hexbins· XKCD StyleChapter 14 : Introduction to PandasChapter goal – Get started with Pandas data structuresNo of pages: 10Sub - Topics:• Introduction to Pandas• Series in Pandas• Dataframe in PandasChapter 15 : Data AcquisitionChapter goal – Read the data from various sourcesNo of pages: 18Sub - Topics:• Plain Text File Handling• Handling CSV with Python• Python and Excel• Writing and reading files with NumPy• Reading the data from a CSV file with NumPy• Matplotlib CBook• Reading data from a CSV• Reading data from an Excel• Reading data from JSON• Reading data from Pickle• Reading data from Web• Reading data from Relation databases• Reading Data from the clipboardChapter 16 : Visualizing Data with Pandas and MatplotlibChapter goal – Get started with Data Visualization with MatplotlibNo of pages: 25• Simple Plots• Bar Graphs• Histogram• Box Plot• Area Plots• Scatter Plot• Hexagonal Bin Plot• Pie ChartsChapter 17 : Introduction to Data Visualization with SeabornChapter goal – Get started with Pandas and seabornNo of pages: 20Sub - Topics:• What is Seaborn?• Plotting statistical Relationships• Plotting Lines• Visualizing the distribution of dataChapter 18 : Visualizing real-life Data with Matplotlib and SeabornChapter goal – Get started with COVID and Animal disease datasets and Visualize themNo of pages: 20Sub - Topics:• COVID-19 Pandemic Data• Fetching the Pandemic Data Programmatically• Preparing the data for visualization• Visualization with Matplotlib and Seaborn• Visualization of Animal Disease Data
Spring REST
Design and develop Java-based RESTful APIs using the latest versions of the Spring MVC and Spring Boot frameworks. This book walks you through the process of designing and building a REST application while delving into design principles and best practices for versioning, security, documentation, error handling, paging, and sorting.Spring REST provides a brief introduction to REST, HTTP, and web infrastructure. You will learn about several Spring projects such as Spring Boot, Spring MVC, Spring Data JPA, and Spring Security, and the role they play in simplifying REST application development. You will learn how to build clients that consume REST services. Finally, you will learn how to use the Spring MVC test framework to unit test and integration test your REST API.After reading this book, you will come away with all the skills to build sophisticated REST applications using Spring technologies.WHAT YOU WILL LEARN* Build Java-based microservices, native cloud, or any applications using Spring REST* Employ Spring MVC and RESTful Spring* Build a QuickPoll application example* Document REST services, as well as versioning, paging, and sorting* Test, handle errors and secure your applicationWHO THIS BOOK IS FORIntermediate Java programmers with at least some prior experience with Spring and web/cloud application development.BALAJI VARANASI is a software development manager and technology entrepreneur. He has over 13 years of experience architecting and developing Java/.Net applications and, more recently, iPhone apps. During this period he has worked in the areas of security, web accessibility, search, and enterprise portals. He has a Master s Degree in Computer Science and serves as adjunct faculty, teaching programming and information system courses. When not programming, he enjoys spending time with his lovely wife in Salt Lake City, Utah.MAXIM BARTKOV is a staff engineer with more than seven years of commercial experience in Java. Maxim specializes in building architecture for high-load systems. He is skilled in the development of Distributed High-Load Systems, Microservice architecture, Spring Framework, System Architecture, and In-Memory Data Grid (IMDG). In his spare time, he writes articles for the Java community.1. Introduction to REST2. Spring MVC & Spring Boot Primer3. RESTful Spring4. Beginning the QuickPoll Application5. Error Handling6. Documenting REST Services7. Versioning, Paging, and Sorting8. Security9. Clients and Testing10. HATEOASA. Installing cURL on Windows
Practical Docker with Python
Learn the fundamentals of containerization and get acquainted with Docker. This second edition builds upon the foundation of the first book by revising all the chapters, updating the commands, code, and examples to meet the changes in Docker. It also introduces a new chapter on setting up your application for production deployment and breaks down terminologies like Dockerfile and Docker volumes while taking you on a guided tour of building a telegram bot using Python.You'll start with a brief history of how containerization has changed over the years. Next, we look at how to install (including using the new WSL2 mode) and get started with Docker. The next couple of chapters will focus on understanding the Dockerfile, including the structure and the core instructions used in building a Docker image. You'll also see how to distribute Docker images using Docker hub and other private registries. From there, you'll look at using Docker volumes for persisting data. Then learn how to run multi-container applications with Docker compose and learn inter-container networking works with Docker networks. Finally, you'll look at how to prepare a containerized application for production deployments.Throughout the book you'll apply the techniques learned through the chapters by building a Telegram messenger Chatbot and see how much easier Docker makes it possible to build, release, contribute and distribute an application. In addition, the book shows how optimize the Docker images for production servers by using multi-stage builds and improve the reliability of your services by using health checks and restart policies. Practical Docker with Python will break down terminologies like Dockerfile and Docker volumes, and take you on a guided tour of building a telegram bot using Python.WHAT YOU'LL LEARN* Compare the difference between containerization and virtualization* Understand the Dockerfile and converting your application to Docker image* Define and run multi-container applications with Docker compose* Review data persistency with Docker volumesWHO THIS BOOK IS FORBeginner and intermediate developers, DevOps practitioners who are looking improving their build and release workflow by containerizing applications as well as system administrators learning to implement DevOps principles.Sathyajith Bhat is a seasoned DevOps/SRE professional currently working as a DevOps Engineer on Adobe I/O, which is Adobe’s developer ecosystem and community. Prior to this, he was the lead Ops/SRE at Styletag.com. He transitioned to Ops/SRE after being a lead analyst at CGI, working primarily on Oracle Fusion stack (Oracle DB/PL/SQL/Oracle Forms and other related middleware) designing, architecting, and implementing complete end-to-end solutions for a major insurance provider in the Nordics.In his free time, Sathya is part of the Barcamp Bangalore planning team, handling DevOps and Social Media for BCB. He is also a volunteer Community Moderator at Super User and Web Apps Stack Exchange, keeps the servers for Indian Video Gamer forums up and running, and was previously a Moderator for Chip-India and Tech 2 forums.Chapter 1: Introduction to Containerization & DockerChapter Goal: Brief intro into containerization, how they compare to virtual machines, Intro to Docker and getting the reader ready for the practical aspects of the bookNo of pagesSub -Topics1. What are containers2. Containers vs Virtual machines3. Introduction to Docker4. CONTAINER RUNTIMES (OCI, CRI-O, CONTAINERD)Chapter 2: Docker 101Chapter Goal: Getting started with Docker, running a sample containerNo of pages:Sub - Topics:1. INSTALLING DOCKER (INCLUDING CHANGES FOR INSTALLING DOCKER FOR WINDOWS USING THE WSL2 ENGINE)2. Checking if Docker is ready3. Docker client4. Understanding Jargon around Docker (INCLUDING DOCKER REGISTRIES, REPOSITORIES, TAGS)5. Running/stopping/ connecting a docker container6. Dockerfile brief7. Practical: Running a simple container, hands-on some common Docker commandsChapter 3: Building the Python AppChapter Goal: Getting to understand the project, APIs involved, pre-requisitesNo of pages:Sub - Topics:1. Project description (delivering latest content from Reddit to Telegram messenger)2. Setting up the Python workspace (installing the required libraries, setting up virtualenv)3. Creating a Telegram bot4. Running the Python application and confirming bot worksChapter 4: Understanding DockerfileChapter Goal: Getting to know Dockerfile, the different constructs and conceptsNo of pages:Sub - Topics:1. Dockerfile, dockerignore2. Base image & using them with “from …”3. RUN/CMD/Environment variables4. HOW AND WHY TO TAG DOCKER IMAGES5. WHY TO AVOID THE ‘LATEST’ TAG6. Practical: Modifying sample Dockerfile to run our ProjectChapter 5: Understanding Docker VolumesChapter Goal: Containers are meant for stateless applications. Chapter explains steps needed to persist data1. Problem of stateful applications in containers2. Docker volumes3. Practical: Show how data in containers is lost when container is killed and how Docker volumes avoid this4. Practical: Modifying our project Dockerfile to add Docker volumesChapter 6: Docker NetworkingChapter Goal: Overview of Docker networking, linking containers1. Docker bridged network2. User defined networks3. Practical: Create a Database container and link it with our project application server containerChapter 7: Multi Container ApplicationsChapter Goal: Building multi-container applications with Docker compose1. A LOOK AT DOCKER-COMPOSE VERSUS DOCKER COMPOSE2. Docker Compose file reference3. Linking/establishing dependencies across containers4. Environment variables across linked containers5. Practical: Moving our project from separate linked containers to Docker Compose projectCHAPTER 8: PREPARING FOR PRODUCTION DEPLOYMENTS1. WHAT IS ORCHESTRATION AND WHY DO WE NEED ORCHESTRATION2. SETTING UP CI WITH GITHUB ACTIONS TO BUILD A NEW IMAGE ON EVERY COMMIT3. TIPS TO SETUP YOUR PRODUCTION DOCKER HOSTS AND CONTAINERS4. DEPLOYING YOUR CONTAINER IMAGE TO KUBERNETES
Robo Wunderkind für Kids
Roboter bauen und programmieren lernen - die spannende Erstauflage.Ein Roboter, der Nachrichten überbringen kann? Oder ein Roboter-Tier, das man selbst steuert und das genau das macht, was man möchte? Mit Robo Wunderkind und diesem Buch kannst man in die spannende Welt der Robotik eintauchen und selbst entworfenen Roboter nach eigenen Vorstellungen programmieren. Die Autorin führt einen Schritt für Schritt in die Welt von Robo ein. Egal, ob man die ersten Schritte in der Programmierung macht oder etwas komplexere Aufgaben programmieren möchte, in diesem Buch findet man für jedes Level Ideen und Anleitungen. Im ersten Teil des Buchs stellt die Autorin die einzelnen Robo-Sets und Blöcke vor: Manche Blöcke können Sounds abspielen, andere senden Lichtsignale oder schreiben Textnachrichten. Man kann die Blöcke beliebig kombinieren und so der eigenen Fantasie freien Lauf lassen.Im zweiten Teil lernst man die Coding-App kennen. Für jedes der drei Level »Robo Live«, »Robo Code« oder »Robo Blockly« findest man Ideen für die verschiedenen Sets: zum Beispiel die Musikmaschine für Robo Live, den Postboten-Robo für Robo Code und den Mondforscher-Robo für Robo Blockly. Die Autorin erklärt leicht verständlich die Befehle und verschiedenen Optionen der Coding-App – und man findet im Buch ganz viele tolle Robo-Projekte, mit denen man sich austoben und alles ausprobieren kann.Aus dem Inhalt:Die verschiedenen Blöcke und SetsVorstellung der drei Programmierlevels: Robo Live, Robo Code, Robo BlocklyProjekte für jedes Set und Level:Mars-RoverAngst-Hasen-RoboLichtweckerPostboteLinienfolgeru.v.m.Erklärungen zu allen Befehlen:den Robo flitzen oder sein LED-Licht leuchten lassenHupen- oder Lasergeräusche erzeugenHindernisse erkennen und ausweichenNachrichten in einem Display anzeigenOft verwendete Begriffe in der ProgrammierungAnregungen zu eigenen IdeenFragen und Antworten in jedem KapitelInhalt & Leseprobe (PDF-Link)
PHP & MySQL Schnelleinstieg
* PHP PROGRAMMIEREN LERNEN OHNE VORKENNTNISSE* ALLE GRUNDLAGEN FÜR DEN PROFESSIONELLEN EINSATZ* EINFACHE PRAXISBEISPIELE UND ÜBUNGSAUFGABENMit diesem Buch gelingt Ihnen der einfache Einstieg in die Webentwicklung mit PHP und MySQL.Alle Grundlagen werden in 14 Kapiteln anschaulich und leicht nachvollziehbar anhand von Codebeispielen erläutert. Übungsaufgaben am Ende der Kapitel helfen Ihnen, das neu gewonnene Wissen schnell praktisch anzuwenden und zu vertiefen.Der Autor führt Sie Schritt für Schritt in die Welt der Programmierung mit PHP ein: von den Grundlagen über Objektorientierung bis zur Entwicklung dynamischer Webseiten mit MySQL-Datenbanken. Dabei lernen Sie ebenfalls, was guten Programmierstil ausmacht und wie sich Fehler von vornherein vermeiden lassen.So sind Sie perfekt auf die Webentwicklung mit PHP und MySQL im professionellen Umfeld vorbereitet.* Alle Grundlagen einfach erläutert* Dynamische Webseiten und Formulare* Webseiten im Internet veröffentlichen* Anbindung einer Webschnittstelle (API)* Cookies und Sessions* Objektorientierte* Programmierung* Einsatz mit MySQL-Datenbanken* Abschlussprojekt:* Programmierung eines Blogs* Programmcode, Lösungen und Glossar zum DownloadFÜR WINDOWS, LINUX UND MACOSPhilipp Rieber entwickelt seit über 20 Jahren Internet-Anwendungen und begeistert gerne andere für die Webentwicklung. Als Software-Architekt gestaltet er seit ihrer Gründung die erste digitale Krankenversicherung Deutschlands.
C and Python Applications
Solve problems by embedding Python code in a C programs, SQL methods, Python sockets. This book uses rudimentary mathematics and basic programming to create practical Python applications for embedding.You'll start with an introduction to C and Python, assuming a fundamental understanding of what programming is. You will also review the basics of the database management language, SQL. You will learn how to use SQL from a C program and from a Python program. C and Python have different programming strengths, and you will learn how to write a Python program embedded within a C program to profit from the strength of each, in one program. Finally, you will explore how socket programs enable two computers to communicate with each other. Here the book covers basic server-client, basic threaded, and basic chat programs.WHAT YOU WILL LEARN* Review basic Python and C coding * Understand the methods of embedding Python code within a C program* Create typical programs in Python and C using SDK* Work with socket applications in PythonWHO THIS BOOK IS FORProgrammers and computational modelers with at least some prior experience with programming in C and Python as well as programming in general. Philip Joyce has 28 years experience as a software engineer – working on control of steel production, control of oil refineries, communications software (pre-Internet), office products (server software), and computer control of airports. Programming in Assembler, COBOL, Coral66, C, and C++. Mentor to new graduates in the company. He also has a MSc in computational physics (including augmented matrix techniques and Monte Carlo techniques using Fortran) - Salford University 1996. Chartered scientist, chartered physicist, member of the Institute of Physics (member of the higher education group). Chapter 1 :Review of C and PythonChapter goal: Load up all of the software eg sqlite3, C, Python etc1.1 : Pythona. Defining different types of variablesb. Reading in data from command linec. Arithmetic operationsd. Switches (user-written)e. If-then-elsef. Arraysg. For loopsh. Stringsi. Math functionsj. User-written functionsk. Dictionariesl. File usem. Use of Matplotlibn. Create typical programs in Python using SDK1.2 : Ca. Read and write charactersb. Arithmetic operationsc. Switchesd. If-then-elsee. Arraysf. For loops and Do loopsg. Stringsh. Data arraysi. Structuresj. Math functionsk. User-written functionsl. File usem. Create typical programs in C using SDKExercisesChapter 2: SQL in CChapter goal: Load up all of the software eg sqlite3, C compiler, Python etc. Demonstrate using SQL in C by writing separate C programs to:-a) create a tableb) insert a row of data into the tablec) select a row or rows of data in the tabled) amend a row of data in the tablee) delete a row of data from the tableExercisesChapter 3 :SQL in PythonChapter goal: Load up appropriate eg sqlite3, Python etc. Demonstrate using SQL in Python by writing separate Python programs to:-a) create a tableb) insert a row of data into the tablec) select a row or rows of data in the tabled) amend a row of data in the tablee) delete a row of data from the tableExercisesChapter 4 : Embedded Python in Ca. Introduction to why you might want to embed python in cb. Basic example “hello”c. Plot a graph with preset points in python programd. Plot a graph with user-entered points in pythone. Print from a dictionaryExercisesChapter 5: Sockets in Pythona. Show basic server-client programsb. Show basic threaded programsc. Show basic chat programsExercisesAppendicesC Programming Code GuidePython Programming Code Guide
Modern Deep Learning Design and Application Development
Learn how to harness modern deep-learning methods in many contexts. Packed with intuitive theory, practical implementation methods, and deep-learning case studies, this book reveals how to acquire the tools you need to design and implement like a deep-learning architect. It covers tools deep learning engineers can use in a wide range of fields, from biology to computer vision to business. With nine in-depth case studies, this book will ground you in creative, real-world deep learning thinking.You’ll begin with a structured guide to using Keras, with helpful tips and best practices for making the most of the framework. Next, you’ll learn how to train models effectively with transfer learning and self-supervised pre-training. You will then learn how to use a variety of model compressions for practical usage. Lastly, you will learn how to design successful neural network architectures and creatively reframe difficult problems into solvable ones. You’ll learn not only to understand and apply methods successfully but to think critically about it.Modern Deep Learning Design and Methods is ideal for readers looking to utilize modern, flexible, and creative deep-learning design and methods. Get ready to design and implement innovative deep-learning solutions to today’s difficult problems.WHAT YOU’LL LEARN* Improve the performance of deep learning models by using pre-trained models, extracting rich features, and automating optimization.* Compress deep learning models while maintaining performance.* Reframe a wide variety of difficult problems and design effective deep learning solutions to solve them. * Use the Keras framework, with some help from libraries like HyperOpt, TensorFlow, and PyTorch, to implement a wide variety of deep learning approaches.WHO THIS BOOK IS FORData scientists with some familiarity with deep learning to deep learning engineers seeking structured inspiration and direction on their next project. Developers interested in harnessing modern deep learning methods to solve a variety of difficult problems.Andre Ye is a data science writer and editor; he has written over 300 data science articles for various top data science publications with over ten million views. He is also a cofounder at Critiq, a peer revision platform that uses machine learning to match users’ essays. In his spare time, Andre enjoys keeping up with current deep learning research, playing the piano, and swimming.Chapter 1: “A Deep Dive Into Keras”Chapter Goal: To give a structured yet deep overview of Keras and to lay the groundwork for implementations in future chapters.Number of Pages: ~30Subtopics1. Why Keras? Versatility and simplicity.2. Steps needed to create a Keras model: define architecture, compile, fit.a. Compile: discuss TensorFlow optimizers, losses, and metrics.b. Fit: discuss callbacks.3. Sequential model + example.4. Functional model + example.5. Visualizing Keras models.6. Data: using NumPy arrays, Keras Image Data Generator, and TensorFlow datasets.7. Hardware: using and accessing CPU, GPU, and TPU.Chapter 2: Pre-training Strategies and Transfer LearningChapter Goal: To understand the importance of transfer learning and to use a variety of transfer learning methods to solve deep learning problems efficiently.Number of Pages: ~30Subtopics1. Transfer learning theory, practical tips and tricks.2. Accessing and using Keras and TensorFlow pretrained models.a. Bonus: converting PyTorch models (PyTorch has a wider variety) into Keras models for greater access to pretrained networks.3. Manipulating pretrained models with other network elements.4. Layer freezing.5. Self-supervised learning methods.Chapter 3: “The Versatility of Autoencoders”Chapter Goal: To understand the versatility of autoencoders and to be able to use them in a wide variety of problem scenarios.Number of Pages: ~30Subtopics1. Autoencoder theory.2. One-dimensional data autoencoder implementation, tips and tricks.3. Convolutional autoencoder implementation, tips and tricks, special concerns.4. Using autoencoders for pretraining.a. Example case study: TabNet.5. Using autoencoders for feature reduction.6. Variational autoencoders for data generation.Chapter 4: “Model Compression for Practical Deployment”Chapter Goal: To understand pruning theory, implement pruning for effective model compression, and to recognize the important role of pruning in modern deep learning research.Number of Pages: ~20Subtopics1. Pruning theory.2. Pruning Keras models with TensorFlow.3. Exciting implications of pruning – the Lottery Ticket Hypothesis.a. Example case-study: no-training neural networks.b. Example case-study: extreme learning machines.Chapter 5: “Automating Model Design with Meta-Optimization”Chapter Goal: To understand what meta-optimization is and to be able to use it to effectively automate the design of neural networks.Number of Pages: ~20Subtopics1. Meta-optimization theory.2. Demonstration of meta-optimization using HyperOpt on Keras.3. Demonstration of Auto-ML and Neural Architecture Search.Chapter 6: “Successful Neural Network Architecture Design”Chapter Goal: To gain an understanding of principles in successful neural network architecture design through three case studies.Number of Pages: ~25Subtopics1. Diversity of neural network designs and the need to design specific architectures for particular problems.2. Theory and implementation of block/cell/module design and considerations.a. Example case study: Inception model.3. Theory and implementation of “Normal” and “extreme” usages of skip connections.a. Parallel towers and cardinalityb. Example case study: UMAP model.4. Neural network scaling.a. Example case study: EfficientNet.Chapter 7: “Reframing Difficult Deep Learning Problems”Chapter Goal: To explore how hard problems can be reframed to be solved by deep learning with three case studies.Number of Pages: ~30Subtopics1. The diversity of problems deep learning is being used to solve.2. Example case study: Siamese networks – experimenting with architecture.3. Example case study: DeepInsight – experimenting with data representation.4. Example case study: Semi-supervised generative adversarial networks – experimenting with data availability.
Digineering
Als Folge der zunehmenden Verfügbarkeit neuer Informationstechnologien entstehen völlig neue Kundenerwartungen, Geschäftsmodelle und Prozesse. Die umfassende Neugestaltung digitaler Prozesse ist mit Konzepten der Vergangenheit nicht zu bewältigen. Business Process Management benötigt angepasste Methoden, Fähigkeiten, Technologien und Strukturen.„Digineering“ steht für die Kombination der Aspekte einer zunehmenden Digitalisierung mit den Methoden und Vorgehensweisen des Re-Engineering und überträgt damit Ansätze aus dem Business Process Management, dem Management der digitalen Transformation und dem Software-Engineering auf die aktuellen Herausforderungen der Prozessdigitalisierung.„Digineering“ liefert einen agilen Lösungsansatz, der alle Phasen der Prozessdigitalisierung von der Analyse der Kundenanforderungen über die Prozessgestaltung bis zur Implementierung neuer IT-Anwendungen umfasst. In allen Phasen werden die Potenziale innovativer IT einbezogen, um so ganzheitliche Prozesse mit einzigartigem Kundenerlebnis und hoher Effizienz zu schaffen.PROF. DR. ARNO MÜLLER lehrt an der NORDAKADEMIE Hochschule der Wirtschaft Prozessmanagement, strategisches IT-Management und Logistik und ist Geschäftsführer der bps business process solutions GmbH.PROF. DR. HINRICH SCHRÖDER ist Professor und Studiengangsleiter für Wirtschaftsinformatik an der NORDAKADEMIE Hochschule der Wirtschaft.LARS VON THIENEN ist Geschäftsführer der bps business process solutions GmbH und berät Unternehmen bei der Transformation der IT-Organisation und dem Aufbau von innovativen IT-Management-Methoden.Bausteine des Digineering.- Fitness-Check zur Entwicklung der Technology- und Capability-Roadmap.- Methoden und Rollenmodell für die Prozessdigitalisierung: (Ro)-Bots: Orchestrierung von digitalen Services und Mensch-Maschine-Kommunikation.- Roadmap zur Aufdeckung und Realisierung der KI-Potenziale in der Prozessdigitalisierung.- Dataism: Wertschöpfung mit datengetriebenen Geschäftsmodellen.- Steuerung der unternehmensweiten Prozessdigitalisierung.- Operating-Model für digitalisierte Prozesse.
Beginning IntelliJ IDEA
Get started quickly with IntelliJ, from installation to configuration to working with the source code and more. This tutorial will show you how to leverage IntelliJ’s tools to develop clean, efficient Java applications.Author TED HAGOS will first walk you through buidling your first Java applications using IntelliJ. Then, he’ll show you how to analyze your application, top to bottom; using version control and tools that allow you expand your application for big data or data science applications and more. You'll also learn some of the IDE’s advanced features to fully maximize your application's capabilities.The last portion of the book focuses on application testing and deployment, and language- and framework- specific guidelines. After reading this book and working through its freely available source code, you'll be up to speed with this powerful IDE for today's Java development.WHAT YOU WILL LEARN* Use IntelliJ IDEA to build Java applications* Set up your IDE and project* Work with source code* Extend your Java application to data science and other kinds of applications* Test and deploy your application and much moreWHO THIS BOOK IS FORProgrammers new to IntelliJ IDEA who may have some prior exposure to Java programming.Ted Hagos is a software developer by trade; at the moment, he’s Chief Technology Officer and Data Protection Officer of RenditionDigital International, a software development company based out of Dublin. He wore many hats in his 20+ years in software development e.g. team lead, project manager, architect and director for development. He also spent time as a trainer for IBM Advanced Career Education, Ateneo ITI and Asia Pacific College. He wrote a couple of books for Apress.1. Install IntelliJ2. Getting Started3. Configuring the IDE4. Configuring Projects5. Working with Source Code6. Building Applications7. Analyzing Applications8. Version Control9. Big Data / Data Science Tools10. Other Tools11. Advanced IDE Features12. Migration Guides13. Language and Framework Specific Guidelines14. Testing15. Deployment
Language Server Protocol and Implementation
Understand the important aspects of implementing a production-grade language server in support of language-smart tools such as code editors and other programming utilities. This book shows you how to create a single implementation of a language server that can be used by multiple tools, enabling you to do the job once in a way that can be shared and reused.This book covers the language server protocol used for communication between programming tools and your language server. The book also provides an in-depth understanding of the design, implementation, and user experience aspects which should be considered when implementing a language server. The book walks you through an example language server implementation to illustrate the basic concepts, then goes on to cover advanced aspects of language server use such as progress reporting, launchers, and extension points.User experience is an important aspect of language server implementation and different tooling vendors strive to provide their own unique user experiences. This book explains how the protocol features can be leveraged to address the unique developer experience provided by different tooling vendors. The book also shows how to enhance the smoothness of the editing experience by orchestrating multiple features together.WHAT YOU WILL LEARN* Implement a language server from scratch* Understand language server protocol and its data models* Leverage the protocol while preserving the unique user experience of different editors* Extend the protocol to support more than its standard capabilities* Run a language server on top of launchers such as standard I/O and TCP socket* Seamlessly incorporate language semantics into your protocol featuresWHO THIS BOOK IS FORDevelopers focused on and passionate about implementing language development tools such as plug-ins and extensions for interactive development environments (IDEs) or other tools that rely upon parsing of language statements and commands, and developers who need an in-depth understanding of the language server protocol as well as how to use the language server protocol to develop extensible language servicesNADEESHAAN GUNASINGHE is Technical Lead at WSO2 and has more than five years of experience in enterprise integration, programming languages, and developer tooling. He leads the Ballerina Language Server team and is a key contributor to Ballerina, which is an open-source programming language and platform for the cloud, and he is an active contributor to the WSO2 Enterprise Service Bus.NIPUNA MARCUS is Technical Lead at WSO2 and has more than five years of experience in front end development, programming languages, and developer tooling. He was a member of the Ballerina Language Server team and a key contributor to the Ballerina programming language. 1. Developer Tools and Language Services2. Understanding the Language Server Protocol3. Implementing a Language Server4. General Messages5. Text Synchronization6. Diagnostics, Smart Editing, and Documentation7. Refactoring and Code Fixes8. Code Navigation and Navigation Helpers9. Presentation and Folding10. Workspace Operations11. Advanced ConceptsA. Data Models and Resources
LoRaWAN-Knoten im IoT
LoRaWAN hat sich als Kommunikationslösung im IoT hervorragend entwickelt. The Things Network (TTN) hat hierzu seinen Beitrag geleistet. Aktuell wird The Things Network auf The Things Stack Community Edition (TTS (CE)) aktualisiert. Die Cluster von TTN V2 werden gegen Ende 2021 geschlossen.Der Autor zeigt Ihnen die notwendigen Schritte, damit Sie in gewohnter Weise LoRaWAN-Knoten mit Hilfe von TTS (CE) betreiben und vielleicht auch das Netz der Gateways durch ein eigenes Gateway erweitern. Mittlerweile gibt es sogar für den mobilen Einsatz geeignete LoRaWAN-Gateways mit denen Sie über Ihr Mobiltelefon Verbindung zum TTN-Server aufbauen können.In diesem Buch werden eine Reihe kommerzieller und Arduino-basierter LoRaWAN-Knoten als auch neue, kostengünstige und für den Batteriebetrieb geeignete Hardware zum Aufbau autonomer LoRaWAN-Knoten vorgestellt.Die Registrierung von LoRaWAN-Knoten und Gateways im TTS (CE) sowie die Bereitstellung der erhobenen Daten über MQTT und die Visualisierung über Node-RED, Cayenne, Thingspeak und Datacake ermöglichen komplexe IoT-Projekte und völlig neue Anwendungen zu sehr geringen Kosten.Das vorliegende Buch versetzt Sie in die Lage, mit batteriebetriebenen Sensoren (LoRaWAN-Knoten) erfasste Daten drahtlos im Internet bereitzustellen und zu visualisieren.Sie lernen die Grundlagen für Smart-City- und IoT-Anwendungen, die beispielsweise die Messung von Luftqualität, Wasserständen, Schneehöhen, das Ermitteln von freien Parkfeldern (Smart Parking) und die intelligente Steuerung der Straßenbeleuchtung (Smart Lighting) u.a.m. ermöglichen.Dr. Claus Kühnel studierte Informationstechnik an der Technischen Universität Dresden und hat über viele Jahre Embedded Systems für Geräteder Labordiagnostik u.a. entwickelt. In diesem interdisziplinären Spannungsfeld kam er mit der Maker-Szene in Berührung. Er hat zahlreiche Artikel und Bücher zu Hard- und Software von Mikrocontrollern im In- und Ausland verö entlicht. Mit Leidenschaft befasst er sich mit neuen Technologien rund um das Thema Mikrocontroller
The Definitive Guide to Modern Java Clients with JavaFX 17
Build enhanced visual experiences and design and deploy modern, easy-to-maintain, client applications across a variety of platforms. This book will show you how these applications can take advantage of JavaFX’s latest user interface components, 3D technology, and cloud services to create immersive visualizations and allow high-value data manipulation. The Definitive Guide to Modern Java Clients with JavaFX 17 is a professional reference for building Java applications for desktop, mobile, and embedded in the Cloud age. It offers end-to-end coverage of the latest features in JavaFX 17 and Java 17.Among the many new or updated JavaFX features covered are the FX Robot API, for simulating user interaction; customized step repeat timing for the Spinner control; Marlin FX; the ColorPicker color palette; and the GetCenter method.After reading this book, you will be equipped to upgrade legacy client applications, develop cross-platform applications in Java, and build enhanced desktop and mobile native clients.Note: source code can be downloaded from https://github.com/Apress/definitive-guide-modern-java-clients-javafx17.WHAT YOU WILL LEARN:* Create modern client applications in Java using the latest JavaFX 17 and Java 17 LTSBuild enterprise clients that will enable integration with existing cloud services * Use advanced visualization and 3D features* Deploy on desktop, mobile, and embedded devicesWHO THIS BOOK IS FOR:Professional Java developers who are interested in learning the latest client Java development techniques to fill out their skills set.STEPHEN CHIN is Senior Director of Developer Relations at JFrog, author of Raspberry Pi with Java and co-author of Pro JavaFX Platform. He has keynoted numerous Java conferences around the world, including Oracle Code One (formerly JavaOne), where he is an 8-time Rock Star Award recipient. Stephen is an avid motorcyclist who has done evangelism tours in Europe, Japan, and Brazil, interviewing hackers in their natural habitat. When he is not traveling, he enjoys teaching kids how to do embedded and robot programming together with his teenage daughter.JOHAN VOS started to work with Java in 1995. He was part of the Blackdown team, porting Java to Linux. His main focus is on end-to-end Java, combining back-end systems and mobile/embedded devices. He received a Duke Choice award in 2014 for his work on javafx on mobile. In 2015, he co-founded Gluon, which allows enterprises to create (mobile) Java Client applications leveraging their existing backend infrastructure. Gluon received a Duke Choice award in 2015. Johan is a Java Champion and an Oracle Developer Champion, a member of the BeJUG steering group, the Devoxx steering group and he is a JCP member. He has been a speaker at numerous conferences on Java.JAMES WEAVER is a Java developer, author, and speaker with a passion for cloud-native applications, machine learning, and quantum computing. He is a Java Champion, and a JavaOne Rockstar. James has written books including Inside Java, Beginning J2EE, the Pro JavaFX series, and Java with Raspberry Pi. As a Pivotal Developer Advocate, James speaks internationally at software technology conferences. He tweets as @JavaFXpert.1: Getting Started with Client Java2: JavaFX Fundamentals3: Properties and Bindings4: JavaFX Controls Deep Dive5: Mastering Visual and CSS Design6: High Performance Graphics7: Bridging Swing JavaFX Style8: JavaFX 3D9: JavaFX to Web and Cloud10: Packaging Apps for the Desktop11: Native Mobile Apps12: JavaFX 11 on Raspberry Pi13: Maching Learning and JavaFX14: Java Science
Entwurfsmuster von Kopf bis Fuß
JETZT AKTUALISIERT UND ERWEITERT: DAS STANDARDWERK ZU ENTWURFSMUSTERN * »Dieses Buch vereint Spaß, herzhaftes Lachen, profundes technisches Verständnis und geniale Praxistipps zu einem denkwürdigen Lesegenuss.« Richard Helm, Gang of Four * Softwareentwickler wollen das Rad nicht neu erfinden: Mit Entwurfsmustern können Sie von den Erfahrungen und Best Practices anderer profitieren * Die Design Patterns werden detailliert und verständlich erklärt, inklusive Herleitung und geeigneten Anwendungsfällen Dieses Buch ist ein moderner Klassiker zum Thema Entwurfsmuster. Mit dem einzigartigen Von-Kopf-bis-Fuß-Lernkonzept gelingt es den Autoren, die anspruchsvolle Materie witzig, leicht verständlich und dennoch gründlich darzustellen. Jede Seite ist ein Kunstwerk für sich, mit vielen visuellen Überraschungen, originellen Comic-Zeichnungen, humorvollen Dialogen und geistreichen Selbstlernkontrollen. Spätestens, wenn es heißt "Spitzen Sie Ihren Bleistift", wird Leser:innen klar, dass bei diesem Buch Mitmachen gefragt ist. Das ist nicht nur unterhaltsam, sondern auch effektiv: Komplexe Sachverhalte lassen sich nach Erkenntnis der modernen Lernwissenschaft am gründlichsten über mehrere verschiedene Kanäle verstehen. Das Buch verspricht Ihnen daher nicht nur Spaß beim Lernen, Sie werden nach der Lektüre auch die Herausforderungen des Softwaredesigns meistern können.
Design Patterns für Machine Learning
Entwurfsmuster für Datenaufbereitung Modellbildung und MLOpsDie Design Patterns in diesem Buch zeigen praxiserprobte Lösungen für wiederkehrende Aufgaben im Machine Learning. Die Autor:innen – ML-Experten bei Google – beschreiben Methoden, die Data Scientists helfen, typische Probleme im gesamten ML-Prozess zu bewältigen. Die Entwurfsmuster verdichten die Erfahrungen von Hunderten von Expert:innen zu klar strukturierten, zugänglichen Best Practices. Das Buch bietet detaillierte Erläuterungen zu 30 Mustern für die Daten- und Problemdarstellung, Operationalisierung, Wiederholbarkeit, Reproduzierbarkeit, Flexibilität, Erklärbarkeit und Fairness. Zu jedem Muster erhält man eine Beschreibung des Problems, eine Vielzahl möglicher Lösungen sowie Empfehlungen, welche Technik die beste für Problemstellungen ist. Aus dem Inhalt:Herausforderungen beim Trainieren, Bewerten und Deployen von ML-Modellen erkennen und überwindenDaten für verschiedene ML-Modelltypen mit Einbettungen, Feature Crosses und mehr darstellenden richtigen Modelltyp für bestimmte Fragestellungen auswähleneine robuste Trainingsschleife mit Checkpoints, Verteilungsstrategie und Hyperparameter-Tuning erstellenskalierbare ML-Systeme deployen, die bei erneutem Training aktuelle Daten berücksichtigenModellvorhersagen für Stakeholder interpretierenModellgenauigkeit, Reproduzierbarkeit, Resilienz und Fairness verbessernAutoren:Valliappa Lakshmanan ist Global Head für Datenanalyse und KI-Lösungen bei Google Cloud. Sara Robinson ist Developer Advocate im Google-Cloud-Team, sie ist spezialisiert auf Machine Learning. Michael Munn ist ML Solutions Engineer bei Google. Er unterstützt Kunden bei der Entwicklung, Implementierung und Bereitstellung von Machine-Learning-Modellen.
Einfach Python
Gleich richtig programmieren lernen - das Profi-Buch von Michael Inden in Erstauflage, November 2021.Endlich programmieren lernen und die ersten Projekte umsetzen. Hierfür bietet sich Python als eine der populärsten Programmiersprachen an. Mit diesem Buch gelingt es mühelos ein Einstieg, denn man wird auf einer Entdeckungsreise vom erfahrenden Trainer Michael Inden begleitet. Er erklärt die Grundlagen der Python-Programmierung leicht und verständlich. Generell wird die trockene Theorie auf ein Minimum reduziert. Ergänzend werden immer wieder auch Python-spezifische Besonderheiten wie Built-in-Funktionen, Slicing, Comprehensions, Generatoren usw. erklärt, die das Entwicklen erleichtern und Programme gleich von Anfang an Python-like, stilistisch schön – kurz Pythonic – machen. Eine große Rolle spielt der interaktive Einstieg mithilfe der Python-Kommandozeile. Damit können kleine Programme direkt ausprobiert werden und Erfolgserlebnisse stellen sich schnell ein. Dieses Vorgehen eignet sich ideal, um sich Python im Selbststudium sowie im eigenen Tempo anzueignen. Allmählich werden die Themen anspruchsvoller und die zu erstellenden Programme größer. Schließlich erfährt man wie man eine Entwicklungsumgebung einsetzen, und lernt die objektorientierte Programmierung kennen. Mit den erworbenen Grundlagen kann man sich immer gezielter mit eigenen Projekten beschäftigen. Erste Ideen liefern drei etwas umfangreichere Programmierbeispiele aus der Praxis, die zudem einen Einblick in das schrittweise, erfolgreiche Entwickeln von Applikationen geben. Das Buch besteht aus in sich abgeschlossenen, aufeinander aufbauenden Kapiteln zu den wesentlichen Bereichen der Programmiersprache Python und den relevanten Sprachelementen. Aufgaben und Musterlösungen runden viele Kapitel ab, sodass Sie das zuvor Gelernte direkt anhand neuer Problemstellungen praktizieren und Ihr Wissen vertiefen können. Zahlreiche kurze Codebeispiele verdeutlichen die Lerninhalte und laden zum Experimentieren ein. Gleich von Anfang an lernen Sie, Ihren Sourcecode sauber zu strukturieren und einen guten Stil zu entwickeln. Dabei hilft ein Kapitel zu Programmierregeln, sogenannten Coding Conventions und zum Testen mit Pytest.Inhalt (PDF-Link)Autor:Dipl.-Inform. Michael Inden ist Oracle-zertifizierter Java-Entwickler. Nach seinem Studium in Oldenburg hat er bei diversen internationalen Firmen in verschiedenen Rollen etwa als Softwareentwickler, -architekt, Consultant, Teamleiter, CTO sowie Leiter Academy gearbeitet. Zurzeit ist er freiberuflich als Autor und Trainer in Zürich tätig.Michael Inden hat über zwanzig Jahre Berufserfahrung beim Entwurf komplexer Softwaresysteme gesammelt, an diversen Fortbildungen und mehreren Java-One-Konferenzen teilgenommen. Sein besonderes Interesse gilt dem Design qualitativ hochwertiger Applikationen sowie dem Coaching. Sein Wissen gibt er gerne als Trainer in internen und externen Schulungen und auf Konferenzen weiter, etwa bei der JAX/W-JAX, JAX London, Oracle Code One, ch.open sowie bei der Java User Group Switzerland.
Spring Boot
Cloud-native Anwendungen mit Java und Kotlin erstellenMit mehr als 75 Millionen Downloads pro Monat ist Spring Boot das populärste und am weitesten verbreitete Java-Framework. Dank seiner Benutzerfreundlichkeit und Leistungsfähigkeit hat es die Anwendungsentwicklung von Monolith-Architekturen und Microservices revolutioniert. Doch die Einfachheit von Spring Boot kann zunächst auch irritieren. Was brauchen Entwickler:innen, um sofort produktiv zu werden? Dieses praxisorientierte Buch zeigt, wie das Framework genutzt werden kann, um erfolgreich unternehmenskritische Applikationen zu entwickeln. Mark Heckler von VMware, der Firma hinter Spring, leitet durch die Architektur und die Konzepte von Spring Boot und behandelt auch Themen wie Debugging, Testen und Deployment. Wenn man mit Spring Boot schnell und effektiv Cloudnative Java- oder Kotlin-Anwendungen entwickeln will – inklusive reaktiver Programmierung, dem Erstellen von APIs und dem Einrichten von Datenbankzugriffen aller Art – dann ist dieses Buch genau das Richtige. Zielgruppe:Java-Entwickler*innen Autor:Mark Heckler ist Softwareentwickler und Spring Developer Advocat bei VMware. Als Java Champion und Google Developer Expert für Kotlin konzentriert er sich auf die Entwicklung innovativer, produktionsreifer Software für die Cloud. Mark engagiert sich in Open-Source-Projekten und ist Autor und Kurator des Blogs Hecklers in Development, brewing stronger Java (https://thehecklers.com).Aus dem Inhalt:Wie Spring Boot die Entwicklung und das Deployment Cloud-nativer Anwendungen vereinfachtErstellung reaktiver Anwendungen und Erweiterung der Kommunikation über die Netzwerkgrenzen hinaus, um verteilte Systeme zu erstellenWie der Spring-Boot-typische Ansatz die Produktivität steigert und die Portabilität von Anwendungen verbessertDeploying von Spring-Boot-Anwendungen, schnell und zuverlässig für die Arbeitslast in der ProduktivumgebungÜberwachung des Anwendungs- und Systemzustand für optimale Performance und ZuverlässigkeitDebuggen, testen und sichern von Cloud-basierten Anwendungen mit State-of-the-Art-Techniken
Practical Go
YOUR PRACTICAL, HANDS-ON GUIDE TO WRITING APPLICATIONS USING GOGoogle announced the Go programming language to the public in 2009, with the version 1.0 release announced in 2012. Since its announcement to the community, and the compatibility promise of the 1.0 release, the Go language has been used to write scalable and high-impact software programs ranging from command-line applications and critical infrastructure tools to large-scale distributed systems. It’s speed, simplicity, and reliability make it a perfect choice for developers working in various domains.In Practical Go - Building Scalable Network + Non-Network Applications, you will learn to use the Go programming language to build robust, production-ready software applications. You will learn just enough to building command line tools and applications communicating over HTTP and gRPC.This practical guide will cover:* Writing command line applications* Writing a HTTP services and clients* Writing RPC services and clients using gRPC* Writing middleware for network clients and servers* Storing data in cloud object stores and SQL databases* Testing your applications using idiomatic techniques* Adding observability to your applications* Managing configuration data from your applicationsYou will learn to implement best practices using hands-on examples written with modern practices in mind. With its focus on using the standard library packages as far as possible, Practical Go will give you a solid foundation for developing large applications using Go leveraging the best of the language’s ecosystem.AMIT SAHA is a software engineer at Atlassian, located in Sydney, Australia. He has written Doing Math with Python: Use Programming to Explore Algebra, Statistics, Calculus, and More! (No Starch Press, 2015) and Write Your First Program (PHI Learning, 2013). His other writings have been published in technical magazines, conference proceedings, and research journals. He can be found ONLINE AT HTTPS://ECHORAND.MEIntroduction xviiGetting Started xxiCHAPTER 1 WRITING COMMAND-LINE APPLICATIONS 1Your First Application 1Writing Unit Tests 8Using the Flag Package 14Testing the Parsing Logic 20Improving the User Interface 22Removing Duplicate Error Messages 23Customizing Usage Message 24Accept Name via a Positional Argument 25Updating the Unit Tests 28Summary 32CHAPTER 2 ADVANCED COMMAND-LINE APPLICATIONS 33Implementing Sub-commands 33An Architecture for Sub-command-Driven Applications 37Testing the Main Package 43Testing the Cmd Package 45Making Your Applications Robust 47User Input with Deadlines 48Handling User Signals 52Summary 56CHAPTER 3 WRITING HTTP CLIENTS 57Downloading Data 57Testing the Data Downloader 59Deserializing Received Data 61Sending Data 66Working with Binary Data 72Summary 80CHAPTER 4 ADVANCED HTTP CLIENTS 81Using a Custom HTTP Client 81Downloading from an Overloaded Server 81Testing the Time-Out Behavior 85Configuring the Redirect Behavior 88Customizing Your Requests 91Implementing Client Middleware 92Understanding the RoundTripper Interface 93A Logging Middleware 94Add a Header to All Requests 96Connection Pooling 99Configuring the Connection Pool 103Summary 104CHAPTER 5 BUILDING HTTP SERVERS 105Your First HTTP Server 105Setting Up Request Handlers 108Handler Functions 109Testing Your Server 112The Request Struct 114Method 115Url 115Proto, ProtoMajor, and ProtoMinor 116Header 116Host 116Body 116Form, PostForm 116MultipartForm 117Attaching Metadata to a Request 118Processing Streaming Requests 121Streaming Data as Responses 126Summary 132CHAPTER 6 ADVANCED HTTP SERVER APPLICATIONS 133The Handler Type 133Sharing Data across Handler Functions 134Writing Server Middleware 139Custom HTTP Handler Technique 139The HandlerFunc Technique 140Chaining Middleware 142Writing Tests for Complex Server Applications 147Code Organization 147Testing the Handler Functions 153Testing the Middleware 155Testing the Server Startup 157Summary 159CHAPTER 7 PRODUCTION- READY HTTP SERVERS 161Aborting Request Handling 161Strategies to Abort Request Processing 165Handling Client Disconnects 169Server-Wide Time- Outs 173Implement a Time- Out for All Handler Functions 173Implementing Server Time- Out 174Implementing Graceful Shutdown 179Securing Communication with TLS 184Configuring TLS and HTTP/2 184Testing TLS Servers 188Summary 192CHAPTER 8 BUILDING RPC APPLICATIONS WITH GRPC 193gRPC and Protocol Buffers 193Writing Your First Service 197Writing the Server 198Writing a Client 203Testing the Server 207Testing the Client 211A Detour into Protobuf Messages 214Marshalling and Unmarshalling 214Forward and Backward Compatibility 219Multiple Services 220Error Handling 226Summary 228CHAPTER 9 ADVANCED GRPC APPLICATIONS 229Streaming Communication 229Server- Side Streaming 230Client- Side Streaming 237Bidirectional Streaming 239Receiving and Sending Arbitrary Bytes 247Implementing Middleware Using Interceptors 256Client- Side Interceptors 257Server- Side Interceptors 263Wrapping Streams 269Chaining Interceptors 271Summary 272CHAPTER 10 PRODUCTION- READY GRPC APPLICATIONS 275Securing Communication with TLS 275Robustness in Servers 278Implementing Health Checks 278Handling Runtime Errors 286Aborting Request Processing 289Robustness in Clients 297Improving Connection Setup 298Handling Transient Failures 300Setting Time- Outs for Method Calls 305Connection Management 306Summary 309CHAPTER 11 WORKING WITH DATA STORES 311Working with Object Stores 312Integration with Package Server 313Testing Package Uploads 323Accessing Underlying Driver Types 325Working with Relational Databases 327Integration with Package Server 328Testing Data Storage 339Data Type Conversions 343Using Database Transactions 346Summary 348Appendix A Making Your Applications Observable 349Logs, Metrics, and Traces 349Emitting Telemetry Data 352Command- Line Applications 352HTTP Applications 360gRPC Applications 364Summary 366Appendix B Deploying Applications 367Managing Configuration 367Distributing Your Application 370Deploying Server Applications 372Summary 373Index 375
Design Patterns in Modern C++20
Apply the latest editions of the C++ standard to the implementation of design patterns. As well as covering traditional design patterns, this book fleshes out new design patterns and approaches that will be useful to modern C++ developers. Author DMITRI NESTERUK presents concepts as a fun investigation of how problems can be solved in different ways, along the way using varying degrees of technical sophistication and explaining different sorts of trade-offs.Design Patterns in Modern C++20, Second Edition also provides a technology demo for modern C++, showcasing how some of its latest features (e.g., coroutines, modules and more) make difficult problems a lot easier to solve. The examples in this book are all suitable for putting into production, with only a few simplifications made in order to aid readability.WHAT YOU WILL LEARN* Use creational patterns such as builder, factories, prototype and singleton* Implement structural patterns such as adapter, bridge, decorator, facade and more* Work with the behavioral patterns such as chain of responsibility, command, iterator, mediator and more* Apply functional design patterns such as the Maybe MonadWHO THIS BOOK IS FORThis book is for both beginner and experienced C++ developers.DMITRI NESTERUK is a quantitative analyst, developer, course and book author, and an occasional conference speaker. His interests lie in software development and integration practices in the areas of computation, quantitative finance and algorithmic trading. His technological interests include C# and C++ programming as well high-performance computing using technologies such as CUDA and FPGAs. He has been a C# MVP since 2009.1. IntroductionPart- I: Creational Patterns2. Builder3. Factories4. Prototype5. SingletonPart- II: Structural Patterns6. Adapter7. Bridge8. Composite9. Decorator10. Façade11. Flyweight12. ProxyPart- III: Behavioral Patterns13. Chain of Responsibility14. Command15. Interpreter16. Iterator17. Mediator18. Memento19. Null Object20. Observer21. State22. Strategy23. Template Method24. Visitor
Learn to Program with Assembly
Many programmers have limited effectiveness because they don't have a deep understanding of how their computer actually works under the hood. In Learn to Program with Assembly, you will learn to program in assembly language - the language of the computer itself.Assembly language is often thought of as a difficult and arcane subject. However, author Jonathan Bartlett presents the material in a way that works just as well for first-time programmers as for long-time professionals. Whether this is your first programming book ever or you are a professional wanting to deepen your understanding of the computer you are working with, this book is for you. The book teaches 64-bit x86 assembly language running on the Linux operating system. However, even if you are not running Linux, a provided Docker image will allow you to use a Mac or Windows computer as well.The book starts with extremely simple programs to help you get your grounding, going steadily deeper with each chapter. At the end of the first section, you will be familiar with most of the basic instructions available on the processor that you will need for any task. The second part deals with interactions with the operating system. It shows how to make calls to the standard library, how to make direct system calls to the kernel, how to write your own library code, and how to work with memory. The third part shows how modern programming language features such as exception handling, object-oriented programming, and garbage collection work at the assembly language level.Additionally, the book comes with several appendices covering various topics such as running the debugger, vector processing, optimization principles, a list of common instructions, and other important subjects.This book is the 64-bit successor to Jonathan Bartlett's previous book, Programming from the Ground Up, which has been a programming classic for more than 15 years. This book covers similar ground but with modern 64-bit processors, and also includes a lot more information about how high level programming language features are implemented in assembly language.WHAT YOU WILL LEARN* How the processor operates * How computers represent data internally * How programs interact with the operating system* How to write and use dynamic code libraries* How high-level programming languages implement their features WHO THIS BOOK IS FORAnyone who wants to know how their computer really works under the hood, including first time programmers, students, and professionals.JONATHAN BARTLETT is a software developer, researcher, and writer. His first book, Programming from the Ground Up, has been required reading in computer science programs from DeVry to Princeton. He has been the sole or lead author for eight books on topics ranging from computer programming to calculus. He is a technical lead for ITX, where his specialty is getting stuck projects unstuck.Chapter 1: IntroductionChapter 2: The Truth About ComputersPart I: Assembly Language BasicsChapter 3: Your First ProgramChapter 4: Registers and Simple ArithmeticChapter 5: Comparison, Branching and LoopingChapter 6: Working with Data in MemoryChapter 7: Data RecordsChapter 8: Signed Numbers and Bitwise OperationsChapter 9: More Instructions You Should KnowPart II: Operating System BasicsChapter 10: Making System CallsChapter 11: The Stack and Function CallsChapter 12: Calling Functions from LibrariesChapter 13: Common and Useful Assembler DirectivesChapter 14: Dynamic Memory AllocationChapter 15: Dynamic LinkingPart III: Programming Language TopicsChapter 16: Basic Language Features Represented in Assembly LanguageChapter 17: Tracking Memory AllocationsChapter 18: Object-Oriented ProgrammingChapter 19: Conclusion and AcknowlegmentsPart IV: AppendicesAppendix A: Getting Set Up with DockerAppendix B: The Command LineAppendix C: Debugging with GDBAppendix D: Nasm (Intel) Assembly Language SyntaxAppendix E: Common x86-64 InstructionsAppendix F: Floating Point NumbersAppendix G: The Starting State of the StackAppendix H: ASCII, Unicode, and UTF-8Appendix I: OptimizationAppendix J: A Simplified Garbage CollectorAppendix K: Going to an Even Lower Level
Beginning jOOQ
Learn to use the jOOQ library to manage SQL database operations in Java and JVM applications. This book walks you through what JOOQ is, how to install and get started with it, and then gets you working with it.Practical examples and case studies demonstrate how jOOQ offers a more efficient and versatile alternative to Object-Relational Mapping frameworks like Hibernate and JPA, while providing a natural, native-SQL feeling for the developer. You'll see how to maximize the full potential of your SQL database with advanced query syntax and functions with this lightweight, SQL-friendly framework. Come see how you can use high performance approaches like reactive, data streaming and cloud-native programming to get data from SQL tables.Never write another incorrect SQL statement again and protect your application from SQL injection with the strong typing and inbuilt controls in jOOQ. Learn how to add jOOQ to your existing Hibernate, Spring Boot or Quarkus applications.When you’ve completed this book, you will be able to take the knowledge you’ve gained, along with the freely available source code, and directly apply them to your own work.WHAT YOU WILL LEARN* Comparing equivalent features between Hibernate, JPA and jOOQ* Unlock the power of your SQL database with high performing, flexible and typesafe SQL queries* Seamlessly work with many different SQL database vendors without changing your code* Effortlessly generate Java code based on the content of your database* Write reactive SQL database access code with R2DBC* Integrating jOOQ into popular frameworks and platforms like Hibernate, Spring boot and Quarkus tools like IDEs* Testing jOOQ-based code with modern integration testing frameworks like TestContainers and Docker* Learn how to safely handle data access code within frameworks like the Java Persistence API (JPA)WHO THIS BOOK IS FORIntermediate Java programmers new to jOOQ. Some prior experience with SQL may be helpful but not required.Tayo Koleoso is the Founder and CEO of LettuceWork.io, the platform dedicated to engineering culture. He created the Better Managed Development method for building and sustaining an effective product engineering culture. He's a lifelong learner, engineer, and engineering leader committed to building people and software in a healthy, sustainable, and effective ecosystem. Outside of tech, comedy is the only thing he consumes in large quantity. King of the Hill, Peep Show and 30 Rock are his comfort telly, I tell you what.He got his start in software engineering as a teenage database programmer with Oracle 8i. The jOOQ platform is therefore a natural fit and a return to his roots: his love affair with SQL.1. Welcome to jOOQ – Gives the reader a high-level overview of the jOOQ platform, the goals, features and a comparison with alternatives.• Database Operations in Java – the good parts• Database Operations in Java – the...not-good parts• You have got to be jOOQing• jOOQ Feature Tour2. Getting Started with jOOQ – Provides a crash course in core features of jOOQ• Setup jOOQ• CRUD with jOOQ◦ Lazy◦ Reactive• Transactions• Configuration• Exception Handling• Logging• Packaging and deployment◦ Maven◦ Gradle3. Working with jOOQ – This gives a guided tour of implementing specific features with jOOQ• Data Type Handling• Generating Artifacts• Advanced Database Manipulation◦ Batch Processing▪ Batch Loading▪ Batch Inserts• Advanced Query Syntax Support• SQL Joins• Database Functions• Stored Procedures4. jOOQ integrations - This shows the reader how jOOQ can be combined with specific tools, libraries and platforms• Java Persistence API• Hibernate• Spring Framework• Spring Data JPA5. Testing jOOQ – This will show the user how to execute unit and integration tests in jOOQ
Econometrics and Data Science
Get up to speed on the application of machine learning approaches in macroeconomic research. This book brings together economics and data science.Author Tshepo Chris Nokeri begins by introducing you to covariance analysis, correlation analysis, cross-validation, hyperparameter optimization, regression analysis, and residual analysis. In addition, he presents an approach to contend with multi-collinearity. He then debunks a time series model recognized as the additive model. He reveals a technique for binarizing an economic feature to perform classification analysis using logistic regression. He brings in the Hidden Markov Model, used to discover hidden patterns and growth in the world economy. The author demonstrates unsupervised machine learning techniques such as principal component analysis and cluster analysis. Key deep learning concepts and ways of structuring artificial neural networks are explored along with training them and assessing their performance. The Monte Carlo simulation technique is applied to stimulate the purchasing power of money in an economy. Lastly, the Structural Equation Model (SEM) is considered to integrate correlation analysis, factor analysis, multivariate analysis, causal analysis, and path analysis.After reading this book, you should be able to recognize the connection between econometrics and data science. You will know how to apply a machine learning approach to modeling complex economic problems and others beyond this book. You will know how to circumvent and enhance model performance, together with the practical implications of a machine learning approach in econometrics, and you will be able to deal with pressing economic problems.WHAT YOU WILL LEARN* Examine complex, multivariate, linear-causal structures through the path and structural analysis technique, including non-linearity and hidden states* Be familiar with practical applications of machine learning and deep learning in econometrics* Understand theoretical framework and hypothesis development, and techniques for selecting appropriate models* Develop, test, validate, and improve key supervised (i.e., regression and classification) and unsupervised (i.e., dimension reduction and cluster analysis) machine learning models, alongside neural networks, Markov, and SEM models* Represent and interpret data and modelsWHO THIS BOOK IS FORBeginning and intermediate data scientists, economists, machine learning engineers, statisticians, and business executivesTSHEPO CHRIS NOKERI harnesses big data, advanced analytics, and artificial intelligence to foster innovation and optimize business performance. In his functional work, he has delivered complex solutions to companies in the mining, petroleum, and manufacturing industries. He initially completed a bachelor’s degree in information management. He then graduated with an honors degree in business science at the University of the Witwatersrand on a TATA Prestigious Scholarship and a Wits Postgraduate Merit Award. He was unanimously awarded the Oxford University Press Prize. He has authored two Apress books: Data Science Revealed: With Feature Engineering, Data Visualization, Pipeline Development, and Hyperparameter Tuning, and Implementing Machine Learning for Finance: A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios. Chapter 1 Introduction to Econometrics.- Chapter 2 Univariate Consumption Study Applying Regression.- Chapter 3 Multivariate Consumption Study Applying Regression.- Chapter 4 Forecasting Growth.- Chapter 5 Classifying Economic Data Applying Logistic Regression.- Chapter 6 Finding Hidden Patterns in World Economy and Growth.- Chapter 7 Clustering GNI Per Capita on a Continental Level.- Chapter 8 Solving Economic Problems Applying Artificial Neural Networks.- Chapter 9 Inflation Simulation.- Chapter 10 Economic Causal Analysis Applying Structural Equation Modelling.
PHP 8 Solutions
Make your websites more dynamic by adding a feedback form, creating a private area where members can upload images that are automatically resized, or storing all your content in a database. DAVID POWERS has updated his definitive book to incorporate the latest techniques and changes to PHP with the arrival of PHP 8. New features include named attributes, constructor property promotion, the stricter and more concise match expression, union types, and more.The problem is, you're not a programmer and the thought of writing code sends a chill up your spine. Or maybe you've dabbled a bit in PHP and MySQL, but you can't get past baby steps. If this describes you, then you've just found the right book. PHP powers four out of every five websites that use a server-side language. In combination with the MySQL database it’s ideal for creating dynamic websites. PHP and MySQL are free, easy to use, and provided by many web hosting companies in their standard packages. This book also covers MariaDB, a seamless replacement for MySQL that has been adopted on many web servers.Unfortunately, most PHP books either expect you to be an expert already or force you to go through endless exercises of little practical value. In contrast, this book gives you real value right away through a series of practical examples that you can incorporate directly into your sites, optimizing performance and adding functionality such as file uploading, email feedback forms, image galleries, content management systems, and much more. Each solution is created with not only functionality in mind, but also visual design.But this book doesn't just provide a collection of ready-made scripts: each PHP solution builds on what's gone before, teaching you the basics of PHP and database design quickly and painlessly. You’ll learn how to optimize your code using object-oriented programming (OOP) techniques. By the end of the book, you'll have the confidence to start writing your own scripts or—if you prefer to leave that task to others—to adapt existing scripts to your own requirements. Right from the start, you're shown how easy it is to protect your sites by adopting secure coding practices.WHAT YOU WILL LEARN* Design and build dynamic PHP-based web sites and applications * Get started right away through practical examples that you can reuse* Incorporate PHP 8 elements including named attributes, constructor property promotion, and union types* Understand the subtle, but important differences between switch and match* Work with the latest PHP 8 techniques, innovations, and best practicesWHO THIS BOOK IS FORReaders should ideally have some prior exposure to web development using PHP.DAVID POWERS is the author of more than 30 highly successful video training courses and books on PHP. He began his professional career as a radio and TV journalist for the BBC, spending a large part of it in Japan reporting on the rise and collapse of the bubble economy. His background of reporting on complex issues in plain, jargon-free language reveals itself in his writing about PHP and web development.David first became involved with web development in the early 1990s as Editor of BBC Japanese TV. With no marketing budget, he developed a bilingual web site to promote the channel. After leaving the BBC, he went on to develop a bilingual online database for an international consultancy, as well as teaching web development courses at two universities in the UK. In addition to writing and creating video training courses, he’s a Trustee of a charity in North London that provides educational facilities for retired people and those no longer in full-time employment.1. What is PHP 8?2. Getting Ready to Work with PHP3. How to Write PHP Scripts—The Basics4. PHP 8: A Quick Reference5. Lightening Your Workload with Includes6. Bringing Forms to Life7. Uploading Files8. Using PHP to Manage Files9. Arrays9. Generating Thumbnail Images10. Pages that Remember: Simple Login and Multipage Forms11. Getting Started with a Database12. Connecting to a Database with PHP and SQL13. Creating a Dynamic Photo Gallery14. Managing Content15. Formatting Text and Dates16. Pulling Data from Multiple Tables17. Managing Multiple Database Tables18. Authenticating Users with a Database