Programming

The software engineering landscape is constantly evolving, and the demands on engineers intensify with each technological and methodological shift. In such an environment, being a good coder isn't enough—true effectiveness goes beyond technical skills. This book is designed as a guide for...

Most people avoid Linux. Not because it’s hard…Because it looks confusing. Black screen. Weird commands. Feels like you can break something. So they stay stuck clicking around… doing everything the slow way. That ends here. This book shows you how to use the Linux command line the right way—fast, simple, and practical.

"Build a Reasoning Model (From Scratch)" is a practical guide to understanding how modern reasoning-oriented LLMs work by building their core methods step by step. The book tells a clear engineering story: start with a conventional pre-trained LLM, learn how text generation works, build reliable evaluation tools, improve reasoning through inference-time methods, then move into training-based approaches such as reinforcement learning and distillation.

"Fabulous Adventures in Data Structures and Algorithms" invites you to step off the beaten path and explore interesting, unfamiliar, and even exotic algorithms that will challenge your perspective and elevate your code. Legendary language designer Eric Lippert guides you with a refreshing, conversational approach, providing beautifully practical examples that highlight the recurring patterns behind stubborn coding problems. You'll begin with a fresh look at foundational, thread-safe, and persistent immutable data structures.

Data is everywhere. The real advantage comes from knowing how to turn it into useful information. Python for Data Science: Coding with Intelligence introduces the practical foundations of using Python to work with data, explore patterns, automate analysis, and build the computational thinking...