Computers and Programming

1000 carefully designed C++ problems across 8 progressive volumes — from your very first line of code to advanced algorithms. Every single solution is compiled and tested on g++, with hints, complexity analysis, and a clear explanation for each. A complete, structured path from beginner to mastery.

This book is the ideal study guide for the official TCCI certification by the TYPO3 Association. The revised and updated 7th edition for TYPO3 v13 LTS contains more than 350 example questions and detailed explanations of which answers are correct and why. Simply the perfect choice for every integrator to prepare for the test and master the exam! 🏆

Effective Kotlin summarizes the best practices and experiences of the Kotlin community, together with a deep explanation of some lesser-known Kotlin functionalities. All of the best practices are presented as simple rules with detailed explanations.

Master modern Delphi from the ground up and build software that’s ready for the real world. From Object Pascal and VCL to FireMonkey, FireDAC, REST, concurrency and testing, this hands-on guide shows you how to write clean, maintainable applications with RAD Studio 13 Florence, backed by practical examples and proven techniques.

PyTorch Deep Dive is a practical guide to mastering modern deep learning with PyTorch. From core concepts to advanced topics like transformers, diffusion models, and production deployment, it combines clear explanations, hands-on examples, and real-world best practices to help you build and scale AI applications with confidence.

After 1,000+ interviews, I kept seeing the same gaps: engineers who use shared_ptr daily but can't explain the control block; developers who write multithreaded code without understanding the memory model they're relying on. This book is the resource I wished existed. Free preview includes Chapter 3: OOP & Polymorphism — the chapter that eliminates more candidates than any other.

"Wired Protocols in Embedded Systems" is your essential guide to understanding how wired communication works in embedded systems. From UART and SPI to I²C and CAN, this book explains the core principles, advantages, and limitations of each protocol. Whether you're an embedded engineer, firmware developer, or Arduino enthusiast, you'll gain the knowledge needed to choose and implement the right protocol for your project. After all, even in the age of AI, it is still important to improve your own intelligence.

STOP building fragile AI wrappers. START designing resilient AI systems. Lots of companies are trying to make their small AI experiments into big products, but they don't have a good plan. Engineers need a practical guide to build these new AI systems the right way - so they can handle scale, be reliable, and won't cost too much. This book is that guide. It explains how to design systems that use AI models. This book breaks down the architecture of real AI applications, like an AI-powered code editor or a smart learning app. It gives you a deep, practical look at the real-world challenges and solutions for building these systems. It discusses system design concepts for systems that use LLMs.

What does it really take to build a web application from the ground up, without relying on layers of frameworks to do the heavy lifting? Building Modern Web Applications in C takes you from a handful of sockets to a fully functioning, secure and production-ready web service, revealing the inner workings of HTTP, databases, sessions, TLS and everything in between. Through hands-on examples and the evolution of Taskforge, you’ll learn not just how to make a web server work but how to build one you can trust, deploy and keep running in the real world.

Building reliable distributed systems is harder than it looks. This book takes you from the fundamentals of message queues to the realities of distributed transactions, with working code, practical patterns and production lessons to guide you. Learn how to handle failures, maintain consistency and build systems that keep working when things go wrong.

Build AI inference systems that run fast, use less memory and keep your data where it belongs. This hands-on guide walks you through model deployment, performance tuning, security and production engineering with practical code and real benchmarks. No cloud dependency, no surprise bills, just efficient AI systems you control.

Get more from Gemini 4 Argon with practical prompting techniques that work on real-world tasks. This guide covers coding, research, legal and financial work, long-horizon workflows, optimization and prompt evaluation, with clear examples and strategies for getting reliable results from one of the most capable AI models available.

Here's a shorter version:Go beyond DNS lookups and build a high-performance recursive DNS resolver in Zig from the ground up. Through a hands-on implementation, you will master the protocols, algorithms, and systems programming techniques that power one of the internet's most essential services.

Learn how to build reliable AI agents with PydanticAI, from simple chatbots to production-ready multi-agent systems. With practical examples, clear explanations, and hands-on projects, this book helps you write AI applications that are structured, testable, and easy to maintain.

This book is a practical guide to building and running local AI systems in 2026. Learn how to choose hardware, run modern LLMs, build RAG pipelines and AI agents, and deploy secure, efficient infrastructure while keeping full control of your models and data.