Programming and scripting languages: general Books

Book SynopsisUnlock the power of WinUI and supercharge your Windows app development with .NET and C# using this beginner's guide Key Features Find out how to create modern Windows apps with native UI controls Get to grips with modernizing existing desktop apps with a modern UI Leverage WinUI code to build apps for iOS, Android, the web, and more Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionWinUI 3 takes a whole new approach to delivering Windows UI components and controls and has the ability to deliver the same features across multiple versions of Windows. Learn WinUI 3 is a comprehensive introduction to WinUI and Windows apps for anyone who is new to WinUI and XAML applications. This updated second edition begins by helping you get to grips with the latest features in WinUI and shows you how XAML is used in UI development. The next set of chapters will help you set up a new Visual Studio environment, develop a new desktop project, incorporate the Model-View-ViewModel (MVVM) pattern in a WinUI project, and develop unit tests for ViewModel commands. Next, you’ll cover the basics of data access from WinUI projects with a step-by-step approach. As you advance, you’ll discover how to leverage the Fluent Design System to design beautiful WinUI applications. You’ll also explore the contents and capabilities of the Windows Community Toolkit and learn how to create cross-platform apps with markup and code from your project using Uno Platform. The concluding chapters will teach you how to build, debug, and deploy apps to the Microsoft Store. By the end of this book, you’ll have learned how to build WinUI applications from scratch and how to modernize existing desktop apps using WinUI 3 and the Windows App SDK.What you will learn Discover the latest features of WinUI 3 and learn how to provide product feedback Understand the WinUI project structure and the app lifecycle Use the MVVM pattern in WinUI and discover open source MVVM projects Find out how to create a simple data store to save app data between sessions Get to grips with incorporating the concepts of Fluent Design into a WinUI app Discover how to use push notifications and app notifications in WinUI Reuse WinUI views and view models in a cross-platform Uno Platform app Who this book is forThis book is for anyone looking to develop applications for Windows with a modern UI. If you’re familiar with Windows desktop app development and want to enhance your knowledge of the latest Windows development techniques, this book is for you. Whether you're starting a new project or planning to modernize your existing Windows apps, this book will provide you with guidance. Hands-on experience with C# and .NET is expected, but no prior knowledge of WinUI or the Windows App SDK is required.Table of ContentsTable of Contents Introduction to WinUI Configuring the Development Environment and Creating the Project MVVM for Maintainability and Testability Advanced MVVM Concepts Exploring WinUI Controls Leveraging Data and Services Fluent Design System for Windows Applications Adding Windows Notifications to WinUI Applications Enhancing Applications with the Windows Community Toolkits Accelerating App Development with Template Studio Debugging WinUI Apps with Visual Studio Hosting a Blazor Application in WinUI Take Your App Cross-Platform with Uno Platform Packaging and Deploying WinUI Applications

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Book SynopsisGet up and running with the Spring Boot and React stack – build an app from start to finish, test the frontend and backend, and deploy. Now with TypeScript code! Purchase of the print or Kindle book includes a free PDF eBook Key Features Use Spring Boot 3 to create powerful, complex, and secure backends for your applications Leverage React to build slick, high-performance frontends Get introduced to TypeScript, Vite, and React Query for React development Book DescriptionIf you’re an existing Java developer who wants to go full stack or pick up another frontend framework, this book is your concise introduction to React. In this three-part build-along, you’ll create a robust Spring Boot backend, a React frontend, and then deploy them together. This new edition is updated to Spring Boot 3 and includes expanded content on security and testing. For the first time ever, it also covers React development with the in-demand TypeScript. You’ll explore the elements that go into creating a REST API and testing, securing, and deploying your applications. You’ll learn about custom Hooks, third-party components, and MUI. By the end of this book, you'll be able to build a full stack application using the latest tools and modern best practices.What you will learn Make fast and RESTful web services powered by Spring Data REST Create and manage databases using ORM, JPA, Hibernate, and more Explore the use of unit tests and JWTs with Spring Security Employ React Hooks, props, states, and more to create your frontend Harness the Material UI component library to customize your frontend Use the fetch API, Axios, and React Query for networking Add CRUD functionality to your apps Deploy your apps using AWS and Docker Who this book is forThis book is for Java developers who have basic familiarity with Spring Boot but don’t know where to start when it comes to building full stack applications. Basic knowledge of JavaScript and HTML will help you to follow along. You'll also find this book useful if you're a frontend developer with knowledge of JavaScript basics and looking to learn full stack development, or a full stack developer experienced in other technology stacks looking to learn a new one.Table of ContentsTable of Contents Setting Up the Environment and Tools – Backend Understanding Dependency Injection Using JPA to Create and Access a Database Creating a RESTful Web Service with Spring Boot Securing Your Backend Testing Your Backend Setting Up the Environment and Tools – Frontend Getting Started with React Introduction to TypeScript Consuming the REST API with React Useful Third-Party Components for React Setting up the Frontend for Our Spring Boot RESTful Web Service Adding CRUD Functionalities Styling the Frontend with MUI Testing React Apps Securing Your Application Deploying Your Application

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Book SynopsisEnhance your programming skills through code reviews, TDD and BDD implementation, and API design to overcome code inefficiency, redundancy, and other issues arising from bad code Key Features Write code that seamlessly integrates with other systems while maintaining well-defined software boundaries Understand how coding principles and standards elevate software quality Learn how to avoid common errors while implementing concurrency or threading Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionTraditionally associated with Windows desktop applications and game development, C# has expanded into web, cloud, and mobile development. However, despite its extensive coding features, professionals often encounter issues with efficiency, scalability, and maintainability due to poor code. Clean Code in C# guides you in identifying and resolving these problems using coding best practices. This book starts by comparing good and bad code to emphasize the importance of coding standards, principles, and methodologies. It then covers code reviews, unit testing, and test-driven development, and addresses cross-cutting concerns. As you advance through the chapters, you’ll discover programming best practices for objects, data structures, exception handling, and other aspects of writing C# computer programs. You’ll also explore API design and code quality enhancement tools, while studying examples of poor coding practices to understand what to avoid. By the end of this clean code book, you’ll have the developed the skills needed to apply industry-approved coding practices to write clean, readable, extendable, and maintainable C# code.What you will learn Master the art of writing evolvable and adaptable code Implement the fail-pass-refactor methodology using a sample C# console application Develop custom C# exceptions that provide meaningful information Identify low-quality C# code in need of refactoring Improve code performance using profiling and refactoring tools Create efficient and bug-free code using functional programming techniques Write cross-platform code using MAUI Develop cloud-deployable microservices for versatile applications Who this book is forThis coding book is for proficient C# developers, team leads, senior software engineers, and software architects who want to improve the efficiency of their legacy systems. A strong understanding of C# programming is assumed.Table of ContentsTable of Contents Coding Standards and Principles in C# Code Review - Process and Importance Classes, Objects and Data Structures Writing Clean Functions Exception Handling Unit Testing Designing and Developing APIs Addressing Cross-Cutting Concerns AOP with PostSharp Using Tools to Improve Code Quality Refactoring C# Code Functional Programming Cross-Platform Development with MAUI Microservices

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Book SynopsisLearn C# programming from scratch using Unity as a fun and accessible entry point with this updated edition of the bestselling series. Includes invitation to join the online Unity Game Development community to read the book alongside peers, Unity developers/C# programmers and Harrison Ferrone. Key Features Develop a strong foundation of programming concepts and the C# language Become confident with Unity fundamentals and features in line with Unity 2023 Build a playable game prototype in Unity—a working first-person shooter game prototype Book DescriptionIt's the ability to write custom C# scripts for behaviors and game mechanics that really takes Unity the extra mile. That's where this book can help you as a new programmer! Harrison Ferrone, in this seventh edition of the bestselling series will take you through the building blocks of programming and the C# language from scratch while building a fun and playable game prototype in Unity. This book will teach you the fundamentals of OOPs, basic concepts of C#, and Unity engine with lots of code samples, exercises and tips to go beyond the book with your work. You will write C# scripts for simple game mechanics, perform procedural programming, and add complexity to your games by introducing intelligent enemies and damage-dealing projectiles. You will explore the fundamentals of Unity game development, including game design, lighting basics, player movement, camera controls, collisions, and more with every passing chapter. Note: The screenshots in the book display the Unity editor in full-screen mode for a comprehensive view. Users can easily reference color versions of images by downloading them from the GitHub repository or the graphics bundle linked in the book. What you will learn Understanding programming fundamentals by breaking them down into their basic parts Comprehensive explanations with sample codes of object-oriented programming and how it applies to C# Follow simple steps and examples to create and implement C# scripts in Unity Divide your code into pluggable building blocks using interfaces, abstract classes, and class extensions Grasp the basics of a game design document and then move on to blocking out your level geometry, adding lighting and a simple object animation Create basic game mechanics such as player controllers and shooting projectiles using C# Become familiar with stacks, queues, exceptions, error handling, and other core C# concepts Learn how to handle text, XML, and JSON data to save and load your game data Who this book is forIf you're a developer, programmer, hobbyist, or anyone who wants to get started with Unity and C# programming in a fun and engaging manner, this book is for you. You'll still be able to follow along if you don't have programming experience, but knowing the basics will help you get the most out of this book.Table of ContentsTable of Contents Getting to Know Your Environment The Building Blocks of Programming Diving into Variables, Types, and Methods Control Flow and Collection Types Working with Classes, Structs, and OOP Getting Your Hands Dirty with Unity Movement, Camera Controls, and Collisions Scripting Game Mechanics Basic AI and Enemy Behavior Revisiting Types, Methods, and Classes Specialized Collection Types and LINQ Saving, Loading, and Serializing Data Exploring Generics, Delegates, and Beyond The Journey Continues

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Book SynopsisBestselling author Mark Price is back to guide you through the latest and most common technologies a .NET developer should know: Blazor Full Stack, ASP.NET Core MVC, ASP.NET Core Minimal APIs, .NET MAUI, gRPC, GraphQL, SQL Server, Cosmos DB, SignalR, Azure Functions, and more!  Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Use specialized libraries to improve all aspects of your apps, including performance, security, and localization Harness the full potential of .NET using cloud-native data stores like Cosmos DB, and unlock scalability, performance, and resilience in your service implementations Unleash the capabilities of Blazor Full Stack and.NET MAUI to develop stunning, truly cross-platform apps for web and mobile Book DescriptionElevate your practical C# and .NET skills to the next level with this new edition of Apps and Services with .NET 8. With chapters that put a variety of technologies into practice, including Web API, gRPC, GraphQL, and SignalR, this book will give you a broader scope of knowledge than other books that often focus on only a handful of .NET technologies. You’ll dive into the new unified model for Blazor Full Stack and leverage .NET MAUI to develop mobile and desktop apps. This new edition introduces the latest enhancements, including the seamless implementation of web services with ADO.NET SqlClient's native Ahead-of-Time (AOT) support. Popular library coverage now includes Humanizer and Noda Time. There’s also a brand-new chapter that delves into service architecture, caching, queuing, and robust background services. By the end of this book, you’ll have a wide range of best practices and deep insights under your belt to help you build rich apps and efficient services.What you will learn Familiarize yourself with a variety of technologies to implement services, such as gRPC and GraphQL Store and manage data locally and cloud-natively with SQL Server and Cosmos DB Use ADO.NET SqlClient to implement web services with native AOT publish support Leverage Dapper for improved performance over EF Core Implement popular third-party libraries such as Serilog, FluentValidation, Humanizer, and Noda Time Explore the new unified hosting model of Blazor Full Stack Who this book is forThis book is for .NET developers interested in exploring more specialized libraries and implementation fundamentals behind building services and apps. You’ll need to know your way around .NET and C# quite well before you can dive in, so if you want to work your way up to this book, you can pick up Mark’s other .NET book, C# 12 and .NET 8 – Modern Cross-Platform Development Fundamentals, first.Table of ContentsTable of Contents Introducing Apps and Services with .NET Managing Relational Data Using SQL Server Building Entity Models for SQL Server Using EF Core Managing NoSQL Data Using Azure Cosmos DB Multitasking and Concurrency Using Popular Third-Party Libraries Handling Dates, Times, and Internationalization Building and Securing Web Services Using Minimal APIs Caching, Queuing, and Resilient Background Services Building Serverless Nanoservices Using Azure Functions Broadcasting Real-Time Communication Using SignalR Combining Data Sources Using GraphQL Building Efficient Microservices Using gRPC Building Web User Interfaces Using ASP.NET Core Building Web Components Using Blazor Building Mobile and Desktop Apps Using .NET MAUI

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Book SynopsisMaster effective navigation of neural networks, including convolutions and transformers, to tackle computer vision and NLP tasks using Python Key Features Understand the theory, mathematical foundations and structure of deep neural networks Become familiar with transformers, large language models, and convolutional networks Learn how to apply them to various computer vision and natural language processing problems Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe field of deep learning has developed rapidly recently and today covers a broad range of applications. This makes it challenging to navigate and hard to understand without solid foundations. This book will guide you from the basics of neural networks to the state-of-the-art large language models in use today. The first part of the book introduces the main machine learning concepts and paradigms. It covers the mathematical foundations, the structure, and the training algorithms of neural networks and dives into the essence of deep learning. The second part of the book introduces convolutional networks for computer vision. We’ll learn how to solve image classification, object detection, instance segmentation, and image generation tasks. The third part focuses on the attention mechanism and transformers – the core network architecture of large language models. We’ll discuss new types of advanced tasks they can solve, such as chatbots and text-to-image generation. By the end of this book, you’ll have a thorough understanding of the inner workings of deep neural networks. You'll have the ability to develop new models and adapt existing ones to solve your tasks. You’ll also have sufficient understanding to continue your research and stay up to date with the latest advancements in the field.What you will learn Establish theoretical foundations of deep neural networks Understand convolutional networks and apply them in computer vision applications Become well versed with natural language processing and recurrent networks Explore the attention mechanism and transformers Apply transformers and large language models for natural language and computer vision Implement coding examples with PyTorch, Keras, and Hugging Face Transformers Use MLOps to develop and deploy neural network models Who this book is forThis book is for software developers/engineers, students, data scientists, data analysts, machine learning engineers, statisticians, and anyone interested in deep learning. Prior experience with Python programming is a prerequisite.Table of ContentsTable of Contents Machine Learning – an Introduction Neural Networks Deep Learning Fundamentals Computer Vision with Convolutional Networks Advanced Computer Vision Applications Natural Language Processing and Recurrent Neural Networks The Attention Mechanism and Transformers Exploring Large Language Models in Depth Advanced Applications of Large Language Models Machine Learning Operations (ML Ops)

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Book SynopsisHarness the powerful Python programming language to navigate the realms of geographic information systems, remote sensing, topography, and more, while embracing a guiding framework for effective geospatial analysis Key Features Create GIS solutions using the new features introduced in Python 3.10 Explore a range of GIS tools and libraries, including PostGIS, QGIS, and PROJ Identify the tools and resources that best align with your specific needs Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionGeospatial analysis is used in almost every domain you can think of, including defense, farming, and even medicine. In this special 10th anniversary edition, you'll embark on an exhilarating geospatial analysis adventure using Python. This fourth edition starts with the fundamental concepts, enhancing your expertise in geospatial analysis processes with the help of illustrations, basic formulas, and pseudocode for real-world applications. As you progress, you’ll explore the vast and intricate geospatial technology ecosystem, featuring thousands of software libraries and packages, each offering unique capabilities and insights. This book also explores practical Python GIS geospatial applications, remote sensing data, elevation data, and the dynamic world of geospatial modeling. It emphasizes the predictive and decision-making potential of geospatial technology, allowing you to visualize complex natural world concepts, such as environmental conservation, urban planning, and disaster management to make informed choices. You’ll also learn how to leverage Python to process real-time data and create valuable information products. By the end of this book, you'll have acquired the knowledge and techniques needed to build a complete geospatial application that can generate a report and can be further customized for different purposes.What you will learn Automate geospatial analysis workflows using Python Understand the different formats in which geospatial data is available Unleash geospatial tech tools to create stunning visualizations Create thematic maps with Python tools such as PyShp, OGR, and the Python Imaging Library Build a geospatial Python toolbox for analysis and application development Unlock remote sensing secrets, detect changes, and process imagery Leverage ChatGPT for solving Python geospatial solutions Apply geospatial analysis to real-time data tracking and storm chasing Who this book is forThis book is for Python developers, researchers, or analysts who want to perform geospatial modeling and GIS analysis with Python. Basic knowledge of digital mapping and analysis using Python or other scripting languages will be helpful.Table of ContentsTable of Contents Learning about Geospatial Analysis with Python Learning about Geospatial Data The Geospatial Technology Landscape Geospatial Python Toolbox Python and Geospatial Algorithms Creating and Editing GIS Data Python and Remote Sensing Python and Elevation Data Advanced Geospatial Modeling Working with Real-Time Data Putting It All Together

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Book SynopsisLearn how you can control LEDs, make music, and read sensor data using popular microcontrollers such as Adafruit Circuit Playground, ESP8266, and the BBC micro:bitKey Features Load and execute your first program with MicroPython Program an IoT device to retrieve weather data using a RESTful API Get to grips with integrating hardware, programming, and networking concepts with MicroPython Book DescriptionMicroPython is an open source implementation of Python 3 that runs in embedded environments. With MicroPython, you can write clean and simple Python code to control hardware instead of using complex low-level languages like C and C++. This book guides you through all the major applications of the MicroPython platform to build and program projects that use microcontrollers.The MicroPython book covers recipes that’ll help you experiment with the programming environment and hardware programmed in MicroPython. You’ll find tips and techniques for building a variety of objects and prototypes that can sense and respond to touch, sound, position, heat, and light. This book will take you through the uses of MicroPython with a variety of popular input devices and sensors. You’ll learn techniques for handling time delays and sensor readings, and apply advanced coding techniques to create complex projects. As you advance, you’ll get to deal with Internet of Things (IoT) devices and integration with other online web services. Furthermore, you'll also use MicroPython to make music with bananas and create portable multiplayer video games that incorporate sound and light animations into the game play.By the end of the book, you'll have mastered tips and tricks to troubleshoot your development problems and push your MicroPython project to the next level!What you will learn Execute code without any need for compiling or uploading using REPL (read-evaluate-print-loop) Program and control LED matrix and NeoPixel drivers to display patterns and colors Build projects that make use of light, temperature, and touch sensors Configure devices to create Wi-Fi access points and use network modules to scan and connect to existing networks Use Pulse Width Modulation to control DC motors and servos Build an IoT device to display live weather data from the Internet at the touch of a button Who this book is forIf you want to build and program projects that use microcontrollers, this book will offer you dozens of recipes to guide you through all the major applications of the MicroPython platform. Although no knowledge of MicroPython or microcontrollers is expected, a general understanding of Python is necessary to get started with this book.Table of ContentsTable of Contents Getting started with MicroPython Controlling LEDs Creating sound and music Interacting with buttons Reading sensor data Button Bash Game Fruity Tunes Let’s move it move it Coding on the micro:bit Controlling the ESP8266 Interacting with the Filesystem Networking Interacting with the Adafruit FeatherWing OLED Building an IoT Weather Machine Coding on the Adafruit HalloWing

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Book SynopsisLeverage this example-packed, comprehensive guide for all your Python computational needsKey Features Learn the first steps within Python to highly specialized concepts Explore examples and code snippets taken from typical programming situations within scientific computing. Delve into essential computer science concepts like iterating, object-oriented programming, testing, and MPI presented in strong connection to applications within scientific computing. Book DescriptionPython has tremendous potential within the scientific computing domain. This updated edition of Scientific Computing with Python features new chapters on graphical user interfaces, efficient data processing, and parallel computing to help you perform mathematical and scientific computing efficiently using Python.This book will help you to explore new Python syntax features and create different models using scientific computing principles. The book presents Python alongside mathematical applications and demonstrates how to apply Python concepts in computing with the help of examples involving Python 3.8. You'll use pandas for basic data analysis to understand the modern needs of scientific computing, and cover data module improvements and built-in features. You'll also explore numerical computation modules such as NumPy and SciPy, which enable fast access to highly efficient numerical algorithms. By learning to use the plotting module Matplotlib, you will be able to represent your computational results in talks and publications. A special chapter is devoted to SymPy, a tool for bridging symbolic and numerical computations.By the end of this Python book, you'll have gained a solid understanding of task automation and how to implement and test mathematical algorithms within the realm of scientific computing.What you will learn Understand the building blocks of computational mathematics, linear algebra, and related Python objects Use Matplotlib to create high-quality figures and graphics to draw and visualize results Apply object-oriented programming (OOP) to scientific computing in Python Discover how to use pandas to enter the world of data processing Handle exceptions for writing reliable and usable code Cover manual and automatic aspects of testing for scientific programming Get to grips with parallel computing to increase computation speed Who this book is forThis book is for students with a mathematical background, university teachers designing modern courses in programming, data scientists, researchers, developers, and anyone who wants to perform scientific computation in Python.Table of ContentsTable of Contents Getting Started Variables and Basic Types Container Types Linear Algebra – Arrays Advanced Array Concepts Plotting Functions Classes Iterating Series and Dataframes - Working With Pandas Communication by a Graphical User Interface Error and Exception Handling Namespaces, Scopes, and Modules Input and Output Testing Symbolic Computations - SymPy Interacting with the Operating System Python for Parallel Computing Comprehensive Examples

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Book SynopsisLearn proven patterns, techniques, and tricks to take full advantage of the Node.js platform. Master well-known design principles to create applications that are readable, extensible, and that can grow big.Purchase of the print or Kindle book includes a free eBook in the PDF format.Key Features Learn how to create solid server-side applications by leveraging the full power of Node.js 14 Understand how Node.js works and learn how to take full advantage of its core components as well as the solutions offered by its ecosystem Avoid common mistakes and use proven patterns to create production grade Node.js applications Book DescriptionIn this book, we will show you how to implement a series of best practices and design patterns to help you create efficient and robust Node.js applications with ease. We kick off by exploring the basics of Node.js, analyzing its asynchronous event driven architecture and its fundamental design patterns. We then show you how to build asynchronous control flow patterns with callbacks, promises and async/await. Next, we dive into Node.js streams, unveiling their power and showing you how to use them at their full capacity. Following streams is an analysis of different creational, structural, and behavioral design patterns that take full advantage of JavaScript and Node.js. Lastly, the book dives into more advanced concepts such as Universal JavaScript, scalability and messaging patterns to help you build enterprise-grade distributed applications. Throughout the book, you'll see Node.js in action with the help of several real-life examples leveraging technologies such as LevelDB, Redis, RabbitMQ, ZeroMQ, and many others. They will be used to demonstrate a pattern or technique, but they will also give you a great introduction to the Node.js ecosystem and its set of solutions.Table of ContentsTable of Contents The Node.js Platform The Module System Callbacks and Events Asynchronous Control Flow Patterns with Callbacks Asynchronous Control Flow Patterns with Promises and Async/Await Coding with Streams Creational Design Patterns Structural Design Patterns Behavioral Design Patterns Universal JavaScript for Web Applications Advanced Recipes Scalability and Architectural Patterns Messaging and Integration Patterns

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Book SynopsisNew edition of the bestselling guide to mastering Python Networking, updated to Python 3 and including the latest on network data analysis, Cloud Networking, Ansible 2.8, and new librariesKey Features Explore the power of Python libraries to tackle difficult network problems efficiently and effectively, including pyATS, Nornir, and Ansible 2.8 Use Python and Ansible for DevOps, network device automation, DevOps, and software-defined networking Become an expert in implementing advanced network-related tasks with Python 3 Book DescriptionNetworks in your infrastructure set the foundation for how your application can be deployed, maintained, and serviced. Python is the ideal language for network engineers to explore tools that were previously available to systems engineers and application developers. In Mastering Python Networking, Third edition, you’ll embark on a Python-based journey to transition from traditional network engineers to network developers ready for the next-generation of networks. This new edition is completely revised and updated to work with Python 3. In addition to new chapters on network data analysis with ELK stack (Elasticsearch, Logstash, Kibana, and Beats) and Azure Cloud Networking, it includes updates on using newer libraries such as pyATS and Nornir, as well as Ansible 2.8. Each chapter is updated with the latest libraries with working examples to ensure compatibility and understanding of the concepts. Starting with a basic overview of Python, the book teaches you how it can interact with both legacy and API-enabled network devices. You will learn to leverage high-level Python packages and frameworks to perform network automation tasks, monitoring, management, and enhanced network security followed by Azure and AWS Cloud networking. Finally, you will use Jenkins for continuous integration as well as testing tools to verify your network.What you will learn Use Python libraries to interact with your network Integrate Ansible 2.8 using Python to control Cisco, Juniper, and Arista network devices Leverage existing Flask web frameworks to construct high-level APIs Learn how to build virtual networks in the AWS & Azure Cloud Learn how to use Elastic Stack for network data analysis Understand how Jenkins can be used to automatically deploy changes in your network Use PyTest and Unittest for Test-Driven Network Development in networking engineering with Python Who this book is forMastering Python Networking, Third edition is for network engineers, developers, and SREs who want to use Python for network automation, programmability, and data analysis. Basic familiarity with Python programming and networking-related concepts such as Transmission Control Protocol/Internet Protocol (TCP/IP) will be useful.Table of ContentsTable of Contents Review of TCP/IP Protocol Suite and Python Low-Level Network Device Interactions APIs and Intent-Driven Networking The Python Automation Framework – Ansible Basics The Python Automation Framework – Beyond Basics Network Security with Python Network Monitoring with Python – Part 1 Network Monitoring with Python – Part 2 Building Network Web Services with Python AWS Cloud Networking Azure Cloud Networking Network Data Analysis with Elastic Stack Working with Git Continuous Integration with Jenkins Test-Driven Development for Networks

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Book SynopsisA comprehensive guide to help aspiring and professional C++ developers elevate the performance of their apps by allowing them to run faster and consume fewer resources.Purchase of the print or Kindle book includes a free eBook in PDF format.Key Features Updated to C++20 with completely revised code and more content on error handling, benchmarking, memory allocators, and concurrent programming Explore the latest C++20 features including concepts, ranges, and coroutines Utilize C++ constructs and techniques to carry out effective data structure optimization and memory management Book DescriptionC++ High Performance, Second Edition guides you through optimizing the performance of your C++ apps. This allows them to run faster and consume fewer resources on the device they're running on without compromising the readability of your codebase. The book begins by introducing the C++ language and some of its modern concepts in brief. Once you are familiar with the fundamentals, you will be ready to measure, identify, and eradicate bottlenecks in your C++ codebase. By following this process, you will gradually improve your style of writing code. The book then explores data structure optimization, memory management, and how it can be used efficiently concerning CPU caches. After laying the foundation, the book trains you to leverage algorithms, ranges, and containers from the standard library to achieve faster execution, write readable code, and use customized iterators. It provides hands-on examples of C++ metaprogramming, coroutines, reflection to reduce boilerplate code, proxy objects to perform optimizations under the hood, concurrent programming, and lock-free data structures. The book concludes with an overview of parallel algorithms. By the end of this book, you will have the ability to use every tool as needed to boost the efficiency of your C++ projects.What you will learn Write specialized data structures for performance-critical code Use modern metaprogramming techniques to reduce runtime calculations Achieve efficient memory management using custom memory allocators Reduce boilerplate code using reflection techniques Reap the benefits of lock-free concurrent programming Gain insights into subtle optimizations used by standard library algorithms Compose algorithms using ranges library Develop the ability to apply metaprogramming aspects such as constexpr, constraints, and concepts Implement lazy generators and asynchronous tasks using C++20 coroutines Who this book is forIf you're a C++ developer looking to improve the efficiency of your code or just keen to upgrade your skills to the next level, this book is for you.Table of ContentsTable of Contents A Brief Introduction to C++ Essential C++ Techniques Analyzing and Measuring Performance Data Structures Algorithms Using Ranges and Views Memory Management Compile-Time Programming Essential Utilities Proxy Objects and Lazy Evaluation Concurrency Coroutines and Lazy Generators Asynchronous Programming with Coroutines Parallel STL Algorithms

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Book SynopsisGet to grips with the building blocks of programming languages and get started on your programming journey without a computer science degreeKey Features Understand the fundamentals of a computer program and apply the concepts you learn to different programming languages Gain the confidence to write your first computer program Explore tips, techniques, and best practices to start coding like a professional programmer Book DescriptionLearning how to code has many advantages, and gaining the right programming skills can have a massive impact on what you can do with your current skill set and the way you advance in your career. This book will be your guide to learning computer programming easily, helping you overcome the difficulties in understanding the major constructs in any mainstream programming language.Computer Programming for Absolute Beginners starts by taking you through the building blocks of any programming language with thorough explanations and relevant examples in pseudocode. You'll understand the relationship between computer programs and programming languages and how code is executed on the computer. The book then focuses on the different types of applications that you can create with your programming knowledge. You'll delve into programming constructs, learning all about statements, operators, variables, and data types. As you advance, you'll see how to control the flow of your programs using control structures and reuse your code using functions. Finally, you'll explore best practices that will help you write code like a pro.By the end of this book, you'll be prepared to learn any programming language and take control of your career by adding coding to your skill set.What you will learn Get to grips with basic programming language concepts such as variables, loops, selection and functions Understand what a program is and how the computer executes it Explore different programming languages and learn about the relationship between source code and executable code Solve problems using various paradigms such as procedural programming, object oriented programming, and functional programming Write high-quality code using several coding conventions and best practices Become well-versed with how to track and fix bugs in your programs Who this book is forThis book is for beginners who have never programmed before and are looking to enter the world of programming. This includes anyone who is about to start studying programming and wants a head start, or simply wants to learn how to program on their own.Table of ContentsTable of Contents Introduction to computer programs Introduction to Programming Languages Types of Applications Software Projects and How We Organize Our Code Sequence - The Basic Building Block of a Computer Program Working with Data - Variables Program Control Structures Understanding Functions When Things Go Wrong - Bugs and Exceptions Programming Paradigms Programming Tools and Methodologies Code Quality Appendix A- How to Translate the Pseudocode into Real Code

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Book SynopsisNew edition of the bestselling guide to artificial intelligence with Python, updated to Python 3.x, with seven new chapters that cover RNNs, AI and Big Data, fundamental use cases, chatbots, and more.Key Features Completely updated and revised to Python 3.x New chapters for AI on the cloud, recurrent neural networks, deep learning models, and feature selection and engineering Learn more about deep learning algorithms, machine learning data pipelines, and chatbots Book DescriptionArtificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications.This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data.Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques.What you will learn Understand what artificial intelligence, machine learning, and data science are Explore the most common artificial intelligence use cases Learn how to build a machine learning pipeline Assimilate the basics of feature selection and feature engineering Identify the differences between supervised and unsupervised learning Discover the most recent advances and tools offered for AI development in the cloud Develop automatic speech recognition systems and chatbots Apply AI algorithms to time series data Who this book is forThe intended audience for this book is Python developers who want to build real-world Artificial Intelligence applications. Basic Python programming experience and awareness of machine learning concepts and techniques is mandatory.Table of ContentsTable of Contents Introduction to Artificial Intelligence Fundamental Use Cases for Artificial Intelligence Machine Learning Pipelines Feature Selection and Feature Engineering Classification and Regression Using Supervised Learning Predictive Analytics with Ensemble Learning Detecting Patterns with Unsupervised Learning Building Recommender Systems Logic Programming Heuristic Search Techniques Genetic Algorithms and Genetic Programming Artificial Intelligence on the Cloud Building Games with Artificial Intelligence Building a Speech Recognizer Natural Language Processing Chatbots Sequential Data and Time Series Analysis Image Recognition Neural Networks Deep Learning with Convolutional Neural Networks Recurrent Neural Networks and Other Deep Learning Models Creating Intelligent Agents with Reinforcement Learning Artificial Intelligence and Big Data

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Book Synopsis"Practical Maya Programming with Python" is a practical tutorial packed with plenty of examples and sample projects which guides you through building reusable, independent modules and handling unexpected errors. If you are a developer looking to build a powerful system using Python and Maya's capabilities, then this book is for you. Practical Maya Programming with Python is perfect for intermediate users with basic experience in Python and Maya who want to better their knowledge and skills.

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