Books

Start with no experience and build the skills to write modern C++ with confidence. From your first program to advanced C++26 features and professional software design, this guide explains every step with clear examples and practical insights. Learn it once, keep it as a reference for years.

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.

Hyperscale Data Center Management reveals the architecture, operations, and strategy behind the world’s largest computing facilities. Discover how power, cooling, and network fabrics are engineered to serve billions; how automation and reliability principles keep services running through constant hardware failure; and how sustainability and economics shape every decision. From foundational definitions to the new demands of AI and GPU workloads, this is the complete guide to managing infrastructure that never sleeps. Essential reading for architects, operators, and leaders building for the future.

By diving into this book, students will:1.     Master Supervised Learning Fundamentals Gain strong conceptual understanding and practical competence.2.     Evate & Deploy Models Effectively Understand how to build, validate, interpret, and deploy high-quality models.3.     Think Critically about AI Systems Develop ethical awareness and critical reasoning regarding data bias and model behavior.

·        Comprehensive Learning Path: The book starts with basics and gradually leads you to advanced topics, making it accessible for beginners and challenging for advanced learners.·        Contextual AI Applications: Every concept is illustrated with AI and ML examples, ensuring relevance and immediate applicability.·        Enhanced Understanding of AI Models: Knowing data structures like trees and graphs clarifies how decision trees or knowledge graphs operate internally, boosting your model-building skills.·        Algorithm Efficiency Awareness: Understanding algorithm complexity and heuristics allows you to write optimized AI programs that can handle large datasets and real-time processing.·        Practical Coding Exercises: With implementations in Python, you will develop a coding mindset essential for AI practitioners.·        Preparation for Research and Development: The book equips you to contribute to AI research and innovate new algorithms or improve existing ones.

The chapter that grew into its own book: existential and universal restrictions, the correct VegetarianPizza pattern, and how OWL restrictions become EKA governance.