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.

Build a working SQL database engine in C++20 -- from raw pages to a realquery executor -- one compilable, measured challenge at a time. Everyperformance claim is a benchmark you run yourself; every unit ends with areal bug, caught red-handed and fixed. Nothing asserted. Everythingdemonstrated.

"Work in Progress" - Updated with the latest syntax, new CPAN modules and new file formats

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.

Distributed systems can feel overwhelming until you build one yourself. This book takes you from core networking and concurrency concepts to a complete production-ready platform in Go. Every chapter adds real working code so you learn not just the theory but how reliable systems are built and run at scale.

Go beyond using PDF libraries and learn how the format really works. This book walks you through building a complete PDF reader from scratch using the ISO 32000-2 specification, with clear explanations, written in C++ code and a parser that handles real-world PDF files from the ground up.

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.

The Python interview guide written from the interviewer's side of the table. 35 chapters. Every benchmark measured. Every line of code verified. What senior engineers actually get asked — and what separates the ones who get the offer.

Mastering Data Structures Using C – QUESTION BANK: 1000+ Conceptual Questions for Students and Professionals is a comprehensive practice resource featuring MCQs, short-answer questions, detailed mid-length questions with answers, and solved programming questions.Covering arrays, linked lists, stacks, queues, trees, graphs, searching, sorting, hashing, file organization, recursion, backtracking.

Data Structures in C: A Comprehensive Guide for Students transforms complex data-structure concepts into clear explanations, step-by-step algorithms, practical C programs, detailed code walkthroughs, real-world applications, and hands-on exercises.From arrays, linked lists, stacks, and queues to trees, graphs, searching, sorting, recursion

Every click, online transaction, social media interaction, business operation, healthcare record, mobile application, and connected device generates data. However, raw data alone cannot create value. The real power lies in discovering meaningful patterns, hidden relationships, useful knowledge, future trends, and actionable insights from that data.

Programming Ideas closes the gap between introductory programming books and computer science textbooks. It teaches you how to write programs that solve a wide range of practical problems, from drawing fractals to compressing files and computing Pi, and it carefully explains both the required programming techniques and the resulting programs.

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.

I wrote this book to show exactly what happens when you add Rust to the kernel. Not as a toy. Not as a single driver in a conference demo. It's a full module that covers process management, memory allocation, file systems, networking, device drivers, inter-process communication, and even machine learning inference. It's all built on safe abstractions, all compiled into one loadable binary, all tested on a running kernel. You'll find that each chapter adds new source files to the same module.