Books

A concise, illustrated guide to algorithms and data structures, perfect for coding interviews, classes, or self-study. Covers key concepts, from fundamentals to graphs, trees, sorting, and search techniques.

Explore Python code recipes to use market data for designing and deploying algorithmic trading strategies. By following step-by-step instructions, you’ll be proficient in trading concepts and have hands-on experience in a live trading environment.

The first comprehensive guide to Taproot script engineering. Learn Bitcoin from the inside out — through real testnet transactions, stack execution, and Merkle trees. This book is evolving into an open, testnet-driven Taproot engineering lab.

We'll be writing kernels in Rust and seeing how they match up with their C++ equivalents. If you feed a GPU properly, you'll see bandwidth quadruple from just one changed subscript. It'll get you working with thousands of threads, pricing a financial option based on an exact formula, and shipping an inference pipeline that outruns its Python equivalent for reasons you can name.

Build a complete LLM inference engine in C++ — from a blank project to a working Transformer that loads a real model and generates text. Forged one challenge at a time, with tests that prove every piece works before you move on.

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.

A book designed to help you transition from merely knowing Python to cracking Leetcode patterns. This book explains core DSA concepts through clear, intuitive analogies and walks you through the most important Leetcode patterns. If you're aiming to ace your next coding interview, this is the book I wish I had when I started.

"Mastering SEO: A Complete Guide to Search Engine Optimization for Success" is your ultimate resource for navigating the complexities of SEO. Packed with advanced strategies and practical insights, this book covers everything from on-page and off-page optimization to the latest trends and AI integration. Whether you're a beginner or an experienced digital marketer, you'll learn how to drive traffic, boost rankings, and stay ahead of the competition. Unlock the secrets of SEO success with clear, actionable advice that guarantees results. Don’t just improve your rankings—master the art of SEO!

Every news feed is full of AI buzzwords: Transformers, tokens, embeddings, context windows, hallucinations, objective functions. Yet most explanations are either dense academic textbooks or empty marketing fluff. ☕ Coffee Break AI is your practical guide to AI. Written in plain English with warm real-world analogies. It breaks down the core mechanisms of AI into 40 bite-sized chapters.

Build a strong foundation in data structures and algorithms with clear explanations and practical Python examples. From core concepts to advanced techniques, this guide helps you understand how efficient software is designed so you can write better code with confidence and solve real programming challenges.

JavaScript ve Node.js öğrenmek isteyenler için başlangıçtan profesyonel seviyeye uzanan kapsamlı bir rehber. 1300+ sayfalık bu eser; modern JavaScript, Node.js, REST API, OOP, asenkron programlama, veritabanları, Clean Code, SOLID prensipleri, yazılım mimarisi ve gerçek dünya projeleriyle yalnızca kod yazmayı değil, yazılım mühendisi gibi düşünmeyi öğretir.

The future of technology is decentralized—and blockchain is at the center of this transformation.From global banks and fintech companies to healthcare organizations, supply chain enterprises, gaming platforms, governments, and Web3 startups, blockchain technology is creating entirely new career opportunities. Companies around the world are actively searching

Learn how to build a modern programming language from scratch in Rust. By implementing a complete language called Rune, you will explore every stage of language design, from lexing and parsing to type checking, virtual machines, LLVM code generation, and developer tooling, with practical code and clear explanations throughout.

Make your Python AI code up to 100× faster using NumPy vectorization, Numba, parallel execution, and GPU acceleration. Learn through practical benchmarks and real-world optimization examples.