Computers and Programming

Part I: PHP Fundamentals Covers the basics of PHP, including syntax, control structures, functions, and file handling, providing a strong foundation for beginners.Part II: Advanced PHP Concepts Introduces more complex topics like arrays, strings, object-oriented programming, error handling, and file management, essential for building robust applications.Part III: Database Integration and Web Development Focuses on integrating PHP with MySQL, session management, form handling, and securing web applications against common vulnerabilities.Part IV: Advanced PHP Development Explores RESTful APIs, popular frameworks, and front-end integration, enabling developers to build scalable, modern web applications.

A practical frontend interview reference covering modern React and TypeScript development (517 manuscript pages).

Introduction to the Book In the ever-evolving world of web development, PHP remains one of the most versatile and widely used programming languages. This book, Mastering PHP Programming: A Comprehensive Guide for BCA, MCA, and Professionals, is meticulously designed to cater to students, aspiring developers, and professionals looking to sharpen their PHP skills. Covering fundamental to advanced concepts, this guide aims to bridge the gap between academic learning and practical industry requirements.

Most analytics books teach techniques. Applied & Advanced Analytics teaches judgment. Designed for experienced analysts, this book develops the senior-level skills required to define complex problems, defend analytical decisions, operate at organizational scale, and remain accountable for what analytical work ultimately causes.

Build a city. Not a toy project — a living system.In Masters of the Metropolis, you don’t learn programming by memorising syntax. You learn by constructing a simulation that evolves over time.Every chapter adds something real: time, citizens, economy, infrastructure, events.By the end, you’ve built more than code. You’ve built a system that behaves.

When machines increasingly operate on both sides of the conversation, human intent can disappear between them. AI vs AI maps the Artificial Deadlock—and shows how individuals and organizations can preserve signal, judgment, and accountability inside increasingly automated systems.

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

"Stop writing code. Start engineering impact."Bridge the gap between a Junior Developer and a System Architect. Master the high-level infrastructure, cloud patterns, and open-source rigor required to build sustainable, global-scale systems. From AWS Lambda and Terraform to the ethics of Data Integrity, this is your masterclass in building "Proof of Work" that matters.

Ser un Domain-Driven Software Engineer no significa saber patrones complejos de codigo. Se trata de entender el problema del negocio antes de tocar el teclado. Es la diferencia entre ejecutar tareas y aportar soluciones. Es la diferencia entre ser considerado un gato o una inversión.

Most data modelling books teach you the craft. This one teaches you the reality. Seven chapters of honest, practical guidance from real project experience — covering conceptual modelling, governance, enterprise challenges, and the human side of data work that nobody else writes about.

Aprende a llevar Claude Code más allá de las demos: agentes que usan herramientas, respetan permisos, dejan trazas y funcionan dentro de sistemas reales de producción. Una guía práctica para diseñar, evaluar y escalar agentes sin perder control, calidad ni seguridad.

Python Engineering Judgment is for engineers who already know Python and want to build the skill AI makes more valuable: the ability to reason about code, systems, tradeoffs, and failure modes. This deep, practical field guide teaches the Python object model, type system, decorators, generators, concurrency, asyncio, multiprocessing, API design, packaging, performance, debugging, security, observability, and reliability through the lens of real-world engineering judgment. Use it to prepare for senior, staff, principal, and tech-lead interviews, and to make better decisions in code reviews and production systems.

In a world of infinite AI-generated text, fluency is no longer a credential—trust is. Learn how to engineer "signal" into your technical writing and build an authoritative presence that algorithms can't replicate. This is the definitive practitioner’s guide for publishing in the AI era.

Most books about ChatGPT explain the magic. This one shows you the math. Inside Large Language Models, Volume I takes a curious beginner from "what is an LLM" to a complete, trained GPT, with nothing more than high-school algebra, a working laptop, and a willingness to read carefully. Every formula is walked through by hand. Every line of code comes with a plain-English explanation. By the end you will have built, trained, and run your own transformer from scratch, and you will know exactly what is happening inside. No PhD or Data Science required. No prior machine learning needed. Just curiosity and a calculator.