AI-Assisted Programming for Web and Machine Learning. Improve your development workflow with ChatGPT and GitHub Copilot

Christoffer Noring, Anjali Jain, Marina Fernandez, Ayşe Mutlu, ...

AI-Assisted Programming for Web and Machine Learning shows you how to build applications and machine learning models and automate repetitive tasks.Part 1 focuses on coding, from building a user interface to the backend. You’ll use prompts to create the appearance of an app using HTML, styling with CSS, adding behavior with JavaScript, and working with multiple viewports. Next, you’ll build a web API with Python and Flask and refactor the code to improve code readability. Part 1 ends with using GitHub Copilot to improve the maintainability and performance of existing code. Part 2 provides a prompting toolkit for data science from data checking (inspecting data and creating distribution graphs and correlation matrices) to building and optimizing a neural network. You’ll use different prompt strategies for data preprocessing, feature engineering, model selection, training, hyperparameter optimization, and model evaluation for various machine learning models and use cases. The book closes with chapters on advanced techniques on GitHub Copilot and software agents. There are tips on code generation, debugging, and troubleshooting code. You’ll see how simpler and AI-powered agents work and discover tool calling.

Django in Production. Expert tips, strategies, and essential frameworks for writing scalable and maintainable code in Django

Arghya Saha

You may have got your first Django developer job after a six-week bootcamp or online course, and that’s great, but what’s next? In small companies, mentorship can be hard to come by and gaining the traits of a senior developer without that can take a long time. This is precisely where Django in Production comes into play.This book will first delve into the true meaning of good practice and help you understand the rationale behind industry professionals building websites in specific ways to develop a solid foundation for your Django projects. Next, you will uncover hidden Django secrets through hands-on exploration, leveraging the power of Docker and version control to your advantage. You will gain insights into mastering Git hooks for efficient code maintenance, establishing a robust CI pipeline, and harnessing the capabilities of AWS Beanstalk. These tools will empower you to develop highly scalable products—an essential skill set for aspiring developers transitioning from junior to senior roles. Later, you will understand the significance of monitoring and be introduced to industry-standard tools utilized by professionals for effective monitoring practices.By the end of this book, you will have set yourself apart from the crowd, equipped with the knowledge and expertise to thrive as a seasoned Django developer.

Information Theory. A Tutorial Introduction to the Principles and Applications of Information Theory

James V Stone

This book offers a comprehensive journey through the fascinating world of information theory, beginning with the fundamental question: what is information? Early chapters introduce key concepts like entropy, binary representation, and data compression, providing a clear and accessible foundation. Readers explore Shannon's source coding theorem and practical tools like Huffman coding to understand how information is quantified and optimized.Building on these basics, the book delves into advanced topics such as the noisy channel coding theorem, mutual information, and error correction techniques. It examines entropy in continuous systems, channel capacity, and rate-distortion theory, making complex ideas accessible through real-world examples. Connections between information and thermodynamics are also explored, including Maxwell’s Demon, the Landauer Limit, and the second law of thermodynamics.The final chapters tie information theory to biology and artificial intelligence, investigating its role in evolution, the human genome, and brain computation. With practical examples throughout, this book balances theoretical depth with hands-on learning, making it an essential resource for mastering information theory. A basic mathematical foundation will be beneficial but is not required to engage with the material.

Mastering Spring Boot 3.0. A comprehensive guide to building scalable and efficient backend systems with Java and Spring

Ahmet Meric

Mastering Spring Boot 3.0 is your gateway to building scalable and robust backend systems using the latest techniques. Penned by a seasoned software developer with 20+ years of experience in the tech industry, this book follows a hands-on, step-by-step approach to helping you understand Spring Boot concepts and apply them to real-world projects.You’ll start by exploring key architectural patterns such as DDD, CQRS, and event sourcing. Next, you’ll focus on the nuances of reactive REST development, delve into advanced testing strategies, and fortify your applications' security. You’ll also discover the power of containerization and orchestration with Spring Boot 3.0 and unlock its potential for smooth deployments. Additionally, by integrating Kafka, you’ll be able to build robust event-driven systems.By the end of this book, you’ll have become proficient in architectural patterns, testing strategies, and application security. Whether you’re an architect, backend developer, or DevOps engineer, this book will help you leverage the advanced features of Spring Boot 3.0 for secure and efficient backend development.

Modern C++ Programming Cookbook. Master Modern C++ with comprehensive solutions for C++23 and all previous standards - Third Edition

Marius Bancila

The updated third edition of Modern C++ Programming Cookbook addresses the latest features of C++23, such as the stacktrace library, std::expected and std::mdspan classes, the header, formatting library improvements, and updates to the ranges library. It also gets into more C++20 topics not previously covered, such as sync streams and source_location.The book is organized into practical recipes covering a wide range of real-world problems, helping you find the solutions you need quickly. You’ll find coverage of all the core concepts of modern C++ programming and features and techniques from C++11 through to C++23, meaning you’ll stay ahead of the curve by learning to incorporate the newest language and library improvements.Beyond the core concepts and new features, you’ll explore recipes related to performance and best practices, how to implement useful patterns and idioms, like pimpl, named parameter, attorney-client, and the factory pattern, and how to complete unit testing with the widely used C++ libraries: Boost.Test, Google Test, and Catch2.With the comprehensive coverage this C++ programming guide offers, by the end of the book you’ll have everything you need to build performant, scalable, and efficient applications in C++.

TypeScript 5 Design Patterns and Best Practices. Build clean and scalable apps with proven patterns and expert insights - Second Edition

Theofanis Despoudis

Design patterns are the foundation of many world-class software applications, from commercial solutions to open-source projects. This guide equips you with the skills to architect robust, scalable, and maintainable TypeScript 5 applications. Whether you're looking to master modern TypeScript or apply proven software architecture patterns effectively, this book is your go-to resource. Written by Theofanis Despoudis, a recognized TypeScript expert, this second edition is fully updated with TypeScript 5’s latest features, including improved type inference, union enums, and decorators. These updates will help you write cleaner, more maintainable code that adapts to future changes. You’ll dive into classic Gang of Four design patterns through both traditional and modern real-world implementations, gaining hands-on experience with practical applications. You’ll also gain a clear understanding of the power of functional and reactive programming patterns specifically designed for idiomatic TypeScript development. By the end of this book, you’ll be able to identify and apply the right design pattern for any scenario and craft well-structured, maintainable, and testable code.

Building LLM Powered Applications. Create intelligent apps and agents with large language models

Valentina Alto

Building LLM Powered Applications delves into the fundamental concepts, cutting-edge technologies, and practical applications that LLMs offer, ultimately paving the way for the emergence of large foundation models (LFMs) that extend the boundaries of AI capabilities.The book begins with an in-depth introduction to LLMs. We then explore various mainstream architectural frameworks, including both proprietary models (GPT 3.5/4) and open-source models (Falcon LLM), and analyze their unique strengths and differences. Moving ahead, with a focus on the Python-based, lightweight framework called LangChain, we guide you through the process of creating intelligent agents capable of retrieving information from unstructured data and engaging with structured data using LLMs and powerful toolkits. Furthermore, the book ventures into the realm of LFMs, which transcend language modeling to encompass various AI tasks and modalities, such as vision and audio.Whether you are a seasoned AI expert or a newcomer to the field, this book is your roadmap to unlock the full potential of LLMs and forge a new era of intelligent machines.

DevSecOps for Azure. End-to-end supply chain security for GitHub, Azure DevOps, and the Azure cloud

David Okeyode, Joylynn Kirui, Scott Hanselman

Businesses must prioritize security, especially when working in the constantly evolving Azure cloud. However, many organizations struggle to maintain security and compliance. Attackers are increasingly targeting software development processes, making software supply chain security crucial. This includes source control systems, build systems, CI/CD platforms, and various artifacts. With the help of this book, you’ll be able to enhance security and compliance in Azure software development processes.Starting with an overview of DevOps and its relationship with Agile methodologies and cloud computing, you'll gain a solid foundation in DevSecOps principles. The book then delves into the security challenges specific to DevOps workflows and how to address them effectively. You'll learn how to implement security measures in the planning phase, including threat modeling and secure coding practices. You'll also explore pre-commit security controls, source control security, and the integration of various security tools in the build and test phases. The book covers crucial aspects of securing the release and deploy phases, focusing on artifact integrity, infrastructure as code security, and runtime protection.By the end of this book, you’ll have the knowledge and skills to implement a secure code-to-cloud process for the Azure cloud.

Salesforce Anti-Patterns. Build resilient Salesforce solutions using expert advice to create robust and efficient programs - Second Edition

Lars Malmqvist

While Salesforce is a powerful platform, it is prone to common pitfalls that can result in suboptimal performance, increased costs, and reduced user satisfaction. Known as anti-patterns, these problems can arise from design flaws, poor implementation choices, or a lack of understanding of best practices.Written by a seasoned Salesforce professional and 33-time certified Salesforce Certified Technical Architect, this revised edition will teach you how to identify and avoid common issues, optimize your Salesforce architecture, and ensure successful implementation. This second edition is updated with a comprehensive exploration of Salesforce, along with the addition of the most common Salesforce anti-patterns, providing in-depth analysis and practical solutions. These key learnings will further refine your skills to help you build more robust, scalable, and efficient Salesforce architectures. The chapters offer an expanded coverage of emerging technology trends such as AI and DevOps, updated examples, and additional case studies to ensure that you have the latest information and insights.By the end of this book, you’ll have gained the confidence and expertise needed to design and implement effective Salesforce solutions.

Mastering Unity Game Development with C#. Harness the full potential of Unity 2022 game development using C#

Mohamed Essam

Do you want to level up your Unity game development skills? Then look no further! This book is your one-stop solution to creating mesmerizing games with lifelike features and captivating gameplay.Written by a highly experienced Unity developer, this book emphasizes project organization, clean C# code, and Unity plugins, including the new Input System and Cinemachine. Mastering Unity Game Development with C# shows you how to structure projects effectively, write clean and modular code, utilize the power of Unity plugins, and design engaging game mechanics. You’ll also understand how to optimize user interfaces for a seamless player experience, manage game data efficiently, contribute to existing code bases, integrate third-party assets and APIs, and apply optimization techniques to enhance game performance.By the end of this book, you’ll have acquired the knowledge and skills that will empower you to create efficient and engaging games.

Application Lifecycle Management on Microsoft Power Platform. A comprehensive guide to managing the deployment of your solutions

Benedikt Bergmann, Scott Durow

Managing Power Platform solutions manually can be challenging and time-consuming, as is application lifecycle management (ALM), which encompasses governance, development, and maintenance. This book provides comprehensive coverage of ALM, addressing planning, development, testing, deployment, and maintenance. Drawing on his extensive experience as a Power Platform consultant and Microsoft MVP, Benedikt Bergmann simplifies complex topics, making them accessible and easy to grasp.From planning and designing applications to deploying and maintaining them, this book provides step-by-step instructions, best practices, and real-world examples to effectively manage the entire application lifecycle. You’ll gain insights into optimizing Power Platform's toolbox, including Power Apps, Power Automate, Power Pages, and Power Virtual Agents, for seamless collaboration, agile development, and rapid application delivery. You’ll also implement best practices for version control, code management, and collaboration using the Microsoft Power Platform.By the end of this book, you’ll be equipped with the knowledge and skills to effectively manage the entire application lifecycle, accelerate development cycles, and deliver exceptional solutions with the Microsoft Power Platform.

The Ultimate Linux Shell Scripting Guide. Automate, Optimize, and Empower tasks with Linux Shell Scripting

Donald A. Tevault

Dive into the world of Linux shell scripting with this hands-on guide. If you’re comfortable using the command line on Unix or Linux but haven’t fully explored Bash, this book is for you. It’s designed for programmers familiar with languages like Python, JavaScript, or PHP who want to make the most of shell scripting.This isn’t just another theory-heavy book—you’ll learn by doing. Each chapter builds on the last, taking you from shell basics to writing practical scripts that solve real-world problems. With nearly a hundred interactive labs, you’ll gain hands-on experience in automation, system administration, and troubleshooting.While Bash is the primary focus, you'll also get a look at Z Shell and PowerShell, expanding your skills and adaptability. From mastering command redirection and pipelines to writing scripts that work across different Unix-like systems, this book equips you for real-world Linux challenges.By the end, you'll be equipped to write efficient shell scripts that streamline your workflow and improve system automation.

50 Algorithms Every Programmer Should Know. Tackle computer science challenges with classic to modern algorithms in machine learning, software design, data systems, and cryptography - Second Edition

Imran Ahmad, Somaieh Nikpoor

The ability to use algorithms to solve real-world problems is a must-have skill for any developer or programmer. This book will help you not only to develop the skills to select and use an algorithm to tackle problems in the real world but also to understand how it works.You'll start with an introduction to algorithms and discover various algorithm design techniques, before exploring how to implement different types of algorithms, with the help of practical examples. As you advance, you'll learn about linear programming, page ranking, and graphs, and will then work with machine learning algorithms to understand the math and logic behind them.Case studies will show you how to apply these algorithms optimally before you focus on deep learning algorithms and learn about different types of deep learning models along with their practical use.You will also learn about modern sequential models and their variants, algorithms, methodologies, and architectures that are used to implement Large Language Models (LLMs) such as ChatGPT.Finally, you'll become well versed in techniques that enable parallel processing, giving you the ability to use these algorithms for compute-intensive tasks.By the end of this programming book, you'll have become adept at solving real-world computational problems by using a wide range of algorithms.

Mastering C++ Game Animation Programming. Enhance your skills with advanced game animation techniques in C++, OpenGL, and Vulkan

Michael Dunsky

With two decades of programming experience across multiple languages and platforms, expert game developer and console porting programmer Michael Dunsky guides you through the intricacies of character animation programming. This book tackles the common challenges developers face in creating sophisticated, efficient, and visually appealing character animations.You’ll learn how to leverage the Open Asset Import Library for easy 3D model loading and optimize your 3D engine by offloading computations from the CPU to the GPU. The book covers visual selection, extended camera handling, and separating your application into edit and simulation modes. You’ll also master configuration storage to progressively build your virtual world piece by piece.As you develop your engine-like application, you’ll implement collision detection, inverse kinematics, and expert techniques to bring your characters to life with realistic visuals and fluid movement. For more advanced animation and character behavior controls, you’ll design truly immersive and responsive NPCs, load real game maps, and use navigation algorithms, enabling the instances to roam freely in complex environments.By the end of this book, you’ll be skilled at designing interactive virtual worlds inhabited by lifelike NPCs that exhibit natural, context-aware behaviors.

Mastering Kotlin for Android 14. Build powerful Android apps from scratch using Jetpack libraries and Jetpack Compose

Harun Wangereka

Written with the best practices, this book will help you master Kotlin and use its powerful language features, libraries, tools, and APIs to elevate your Android apps.As you progress, you'll use Jetpack Compose and Material Design 3 to build UIs for your app, explore how to architect and improve your app architecture, and use Jetpack Libraries like Room and DataStore to persist your data locally. Using a step-by-step approach, this book will teach you how to debug issues in your app, detect leaks, inspect network calls fired by your app, and inspect your Room database. You'll also add tests to your apps to detect and address code smells.Toward the end, you’ll learn how to publish apps to the Google Play Store and see how to automate the process of deploying consecutive releases using GitHub actions, as well as learn how to distribute test builds to Firebase App Distribution. Additionally, the book covers tips on how to increase user engagement.By the end of this Kotlin book, you’ll be able to develop market-ready apps, add tests to their codebase, address issues, and get them in front of the right audience.

Using Stable Diffusion with Python. Leverage Python to control and automate high-quality AI image generation using Stable Diffusion

Andrew Zhu (Shudong Zhu), Matthew Fisher

Stable Diffusion is a game-changing AI tool that enables you to create stunning images with code. The author, a seasoned Microsoft applied data scientist and contributor to the Hugging Face Diffusers library, leverages his 15+ years of experience to help you master Stable Diffusion by understanding the underlying concepts and techniques.You’ll be introduced to Stable Diffusion, grasp the theory behind diffusion models, set up your environment, and generate your first image using diffusers. You'll optimize performance, leverage custom models, and integrate community-shared resources like LoRAs, textual inversion, and ControlNet to enhance your creations. Covering techniques such as face restoration, image upscaling, and image restoration, you’ll focus on unlocking prompt limitations, scheduled prompt parsing, and weighted prompts to create a fully customized and industry-level Stable Diffusion app. This book also looks into real-world applications in medical imaging, remote sensing, and photo enhancement. Finally, you'll gain insights into extracting generation data, ensuring data persistence, and leveraging AI models like BLIP for image description extraction.By the end of this book, you'll be able to use Python to generate and edit images and leverage solutions to build Stable Diffusion apps for your business and users.