Books

Learn Python from the ground up with clear explanations, practical examples, and a beginner-friendly approach. Build a strong foundation in programming and gain the confidence to move toward real-world Python projects.

Mastering AWS: Advanced Python Engineering About the Book: "Mastering AWS: Advanced Python Engineering" is a comprehensive, deep-dive manual written for senior software engineers, DevOps specialists, and cloud architects who want to push the boundaries of infrastructure automation.

Learn Dart the right way — from your very first "Hello, World" to advanced topics like Foreign Function Interface, code generation, and modern Dart 3 pattern matching.This comprehensive, 32-chapter guide is designed for complete beginners as well as developers who want a deep, structured reference to Dart — the language behind Flutter and a growing number of command-line and backend applications.What you'll learn:Dart fundamentals: variables, data types, operators, and control flowFunctions, collections (List, Set, Map), and sound null safetyObject-oriented programming: classes, inheritance, mixins, and interfacesGenerics and robust exception handlingAsynchronous programming with Future, async/await, and StreamsModern Dart 3 features: records, pattern matching, and sealed classesExtension methods and zero-cost extension typesIsolates and concurrency for true parallelismDart FFI for calling native C librariesCreating, testing, and publishing your own Dart packagesCode generation with build_runner and json_serializablePub workspaces for monorepo projectsEffective Dart linter rules and professional best practicesEvery chapter includes clear explanations and runnable code examples you can try immediately in DartPad or your local environment. A complete course index at the start and a quick-reference cheat sheet at the end make this book easy to navigate and revisit.Whether you're a student, a self-taught developer, or preparing to build your first Flutter app, this book gives you a solid, complete foundation in Dart — one chapter at a time.

Good software is not about following rules. It is about knowing when they apply. This book explores the judgment behind building software that lasts, from choosing simplicity over cleverness to balancing today’s needs with tomorrow’s costs. Practical, thoughtful and focused on decisions, not dogma.

A practical implementation framework covering 22 essential data center operational domains. Assess gaps, establish priorities and build a controlled improvement roadmap.

From the Linux basics to advanced development workflows, this practical guide shows you how to turn Linux into a powerful software development environment. Learn the command line, work with popular programming languages, use containers and CI/CD, debug and profile applications and build skills you can use every day.

What if your browser could run AI without sending your data to a server? AI in the Browser shows you how to build fast, private and fully local AI applications using WebGPU, WebAssembly and on-device LLMs. From GPU compute to a complete local chat interface, you’ll build everything yourself with practical code.

Build real machine learning applications with TensorFlow.js, from your first model to production-ready systems. Learn how to train and deploy models in the browser and Node.js, tackle real-world challenges and explore modern techniques with practical JavaScript and TypeScript examples you can run and adapt.

Build real-world systems software with Tcl/Tk, from your first installation to production-ready deployment. Learn to create command-line tools, desktop apps, network services and automation frameworks that run across Windows, macOS and Linux. Practical code and clear explanations take you from foundation to confident deployment.

Java is entering a new era of faster releases, modern JVMs and evolving enterprise demands. This practical guide helps architects, platform engineers and senior developers navigate LTS upgrades, modernization, migration, performance, security and cloud deployment with clear strategies and production-ready guidance.

Build more than web apps. Learn how Elixir and Phoenix work under the hood, from BEAM fundamentals and concurrency to LiveView, fault tolerance, testing and production deployment. With practical examples that grow into realistic systems, this book shows you how to build web applications that stay fast, resilient and ready to scale.

My pitch was that rules written in CLAUDE.md get skipped, so you need enforcement. Then I measured it. In 22 trials with the ban written in, the banned command was never attempted. In 17 without it, 17 out of 17. This is the whole record: the instrument, every trial, the limits, and the harness so you can check me.

How do complex phase-separation processes become solvable mathematical models?The Cahn–Hilliard equations lie at the heart of modern phase-field modeling—but their nonlinear, higher-order nature makes them notoriously challenging to solve.Solutions of the Cahn–Hilliard Equations explores analytical, approximate, and numerical approaches for tackling these equations, bringing together mathematical insight and practical solution techniques.A concise reference for researchers, engineers, and postgraduate students working in applied mathematics, computational science, materials modeling, and phase-field methods.Understand the equations. Explore the methods. Solve the problem.Rahul Basu

What really happens between typing a SQL query and getting a result? Build a database engine from the ground up in Rust and find out. You’ll work through storage, indexing, concurrency, recovery and query processing while turning each chapter’s code into one working system.