Computers and Programming

Discover Smalltalk, the language that shaped object-oriented programming. From its core philosophy to hands-on techniques and modern tools, this guide takes you from your first message to confident development in a live, interactive environment. Learn why Smalltalk still matters and how its ideas can change the way you think about code.

A concise, practical handbook that teaches HTTP from scratch. Follow one fictional website through URLs, requests, responses, methods, status codes, headers, cookies, HTTPS, and APIs. Includes real HTTP examples, diagrams, exercises, and a quick reference. No networking experience required.

A 100-chapter journey through the human brain and the AI systems built to imitate it — from a single firing neuron to consciousness, octopus minds, and deepfakes. Written for curious readers with no science background. Does thinking require a brain, or just the right mechanism? This book doesn't claim to answer that. It shows you exactly how close we've gotten.

Great software does more than work today. It stays clear, reliable and easy to change years from now. This practical guide packs 1,000 actionable tips on cleaner code, smarter architecture, testing, operations and teamwork, giving you proven ways to build software that lasts without becoming a burden to maintain.

The Angular companion to NEXUS-1: From File to Framework ports a 5,900-line single-file operator console into a real application, screen by screen, auditing every claim it makes along the way.

Go beyond using AI tools—learn to build AI solutions. AI Generalist Engineer is a practical guide for software engineers, architects, and technology leaders to master enterprise AI, AI agents, RAG, MCP, prompt engineering, orchestration, and modern AI architecture. Build the skills to design, integrate, and lead AI-powered systems with confidence.

Master NumPy from the ground up and learn to write fast, efficient Python for numerical computing. With clear explanations, practical examples and real-world techniques, this guide takes you from array basics to advanced workflows while helping you understand how NumPy really works.

Turn slow Python code into fast, production-ready extensions with Cython. This practical guide takes you from the fundamentals to real-world optimization, covering C and C++ integration, memory, parallelism, testing, debugging and packaging. Build your skills through complete working examples you can compile and run as you learn.

Learn to build production-ready ASP.NET Core Web APIs from the ground up. Explore authentication, middleware, data access, caching, resilience, testing and deployment through practical examples and runnable C# code. Gain the skills to design secure, reliable and scalable APIs for real-world applications.

Build financial systems that stay correct when requests repeat, events arrive late, and services fail. Learn practical patterns for money modeling, double-entry ledgers, idempotency, reconciliation, auditability, security, and invariant-driven testing—so every balance and transaction can be explained and trusted.

Stop watching endless tutorials and start building real apps. Learn React From Scratch is a practical, step-by-step guide that takes you from writing your first component to deploying your first web app. Perfect for beginners who want to write real code, not just read theory.

Smart cards power secure payments, digital identity and trusted authentication around the world. This book is a practical guide to building secure applications for ISO/IEC 7816 and ISO/IEC 14443 systems with real code, hands-on examples and proven development practices.

Build fast, reliable web applications with Crystal from the ground up. This hands on guide walks you from the basics to advanced techniques through practical examples and real world projects. Learn to create scalable, secure services that are easy to maintain and ready for production.

The Python AI ecosystem has hundreds of excellent libraries that nobody writes about because LangChain dominates the conversation. This book covers 38 of them. Each chapter is a practical guide: what the library does, why it exists, how to install it, and working Python code you can run today. No fluff, no theory — just tools and code.

Go beyond the basics and learn how to get the most from RocksDB. This practical guide explains the architecture behind its speed, shows how to tune it for real workloads and helps you solve performance issues with confidence. Packed with code examples and production-focused advice, it is built for developers who need storage that scales.