Computers and Programming

Deliver What Matters, When It Matters is a practical guide to delivery optimization for teams working in complex environments. Through real-world stories and actionable tools, it helps coaches, product managers, and delivery leaders close the gap between effort and impact.

Why learn one programming language when you can understand three at once? This book introduces the foundations of programming through a powerful side-by-side comparison of Python, Java, and C#, enabling readers to build strong conceptual understanding, transferable coding skills, and a solid pathway toward modern software engineering.

The tech job market changed. Entry-level dropped 73%, AI screens resumes, interviews test system design. This is the no-BS guide: portfolio, resume, LinkedIn, interviews, negotiation, and your first 90 days. Written by someone who hires engineers.

From Technical Person to Leader: The Technical Professional's Guide to Becoming a Security Manager

Most developers lose an hour a day to Claude Code without knowing why. The output looks wrong. A convention gets ignored. You press Yes 20 times and it still doesn't finish. It's not the tool. Nobody told you how it actually works. I built production agentic systems with Claude Code and wrote down everything I learned the hard way. Building with Claude Code: The Agentic Development Handbook 16 chapters. 6 failure modes. One complete real session from empty directory to working agent. Not documentation. Not a tutorial. The book you want after your first week.    

6.1 Knowledge-Based Benefits • Students will understand the fundamentals of computer science including architecture, number systems, and data representation. • They will learn the core concepts of programming languages and how they work. • They will acquire problem-solving skills using algorithms, pseudocode, and flowcharts. • They will gain knowledge of object-oriented programming, data structures, and file handling, which form the backbone of computer science. 6.2 Skill-Based Benefits • Ability to write, compile, and debug programs in a structured way. • Development of logical and analytical thinking skills. • Hands-on experience with coding exercises, lab sessions, and projects. • Skills in handling data, designing programs, and solving practical problems. • Ability to design small software applications using modular programming. 6.3 Career-Based Benefits • Students preparing for university exams, competitive exams (like UGC NET, GATE, or coding tests) will find this book extremely useful. • Beginners aspiring to become software developers, web developers, or data analysts will get their first foundation here. • Non-technical students will develop digital literacy, making them more employable in all sectors. • For those aiming to pursue advanced studies in computer science, this book acts as a stepping stone toward data science, AI, and machine learning. 7. How to Use This Book Effectively 1. Start with the theory sections to understand the concepts. 2. Work through the examples and illustrations provided in each chapter. 3. Solve the end-of-chapter exercises to reinforce your understanding. 4. Try to implement the coding examples on your computer using an IDE or programming environment. 5. Progress toward mini-projects that challenge your creativity. This active-learning approach ensures students move from passive reading to active programming practice. 8. Future Scope After Studying This Book Once students complete this book, they will be ready to explore advanced areas such as: • Data Science and Analytics – Using programming to analyze large datasets. vii | P a g e • Artificial Intelligence and Machine Learning – Writing algorithms that learn and make decisions. • Web Development – Creating interactive websites using HTML, CSS, JavaScript, and backend programming. • Cybersecurity – Understanding how to protect systems from attacks. • Mobile App Development – Designing apps for Android or iOS. • Cloud Computing – Learning how modern software runs on distributed systems. Thus, the book serves as a foundation for a lifelong journey in computer science.

Bestselling book on building LLMs. A practical, project-driven manual for engineers who want to understand how modern language models are built — and where they fail — by writing every layer themselves. From a scalar autograd engine to RLHF to fused specialists, in 36 hands-on projects with deliberate sabotage experiments. Build it. Break it. Measure it.

Turn "our Shopware store feels slow" into a measurable 30-day plan: one fix a day, each with a before/after metric. Field-tested engineering on caching, Elasticsearch, Redis and CDN — not generic tips.

[ONE HARDWARE CHIP. ONE MOBILE APP. ZERO LATENCY.] 🚀Ever tried to stream a continuous high-resolution video flux from a microcontroller straight to an Android device without your heap crashing?Most tutorials give you generic code that breaks the second you step into the real world. I built a system for a live, bustling beauty salon environment where failure wasn't an option.Introducing Building the KDO Virtual Mirror—a step-by-step engineering roadmap that bridges C++ on the ESP32-WROVER with advanced Java ViewModels on Android. No third-party network libraries. No fluff. Just raw TCP server sockets, low-level OV5640 camera registry tuning, and lightning-fast pixel streaming.From a simple blink app to multi-core dual-tasking and pinch-to-zoom gestures—this is how you build production-grade IoT.📦 Dropping soon on Leanpub. Are you ready to master the dual-ecosystem chain?

You have used a cross-compiler. But have you ever built one? This book takes you from first principles to a production-matched, containerised GCC and Clang toolchain — the hands-on deep-dive that the embedded Linux world has been missing.

PYTHON COMPLETE GUIDE is a comprehensive, hands-on guide to learning Python from the ground up. Covering everything from core concepts lto advanced topics. This book empowers readers to develop real-world skills.

Every tutorial gets you to "Hello World." This book gets you to production. In 26 years of building and consulting on enterprise systems, I've seen exactly where the gap is, this is the book I wish existed when I started. You'll understand not just how to write the code, but why real systems are built the way they are.