Books

Teaser TextEnter the world of advanced AI engineering.Volume 4 presents 10 advanced Artificial Intelligence projects covering medical diagnosis, crime prediction, autonomous drones, predictive maintenance, disaster management, conversational AI, financial fraud detection, legal document analysis, smart shopping, and autonomous vehicle vision.Go beyond basic models and explore how complex AI systems can be planned, designed, developed, tested, deployed, and enhanced using a complete Software Development Life Cycle.From intelligent models to intelligent systems.

Teaser TextTake your AI projects to the next level.Explore 10 intermediate-level Artificial Intelligence projects covering NLP, Machine Learning, Computer Vision, prediction, classification, sentiment analysis, image recognition, and voice-based applications.From fake news detection and student performance prediction to resume ranking, plant disease identification, sign language recognition, and language translation, Vol-2 takes you deeper into practical AI development through a complete Software Development Life Cycle.Learn the concepts. Build the systems. Think like an AI developer.

Teaser TextLearn AI by building real projects.Explore 10 practical beginner-level Artificial Intelligence projects and learn how to take an idea from problem definition to design, coding, testing, implementation, documentation, and future enhancement.From chatbots and face detection to resume screening, NLP, emotion detection, and intelligent recommendation systems, Vol-1 provides a structured introduction to practical AI development through the complete Software Development Life Cycle.Don’t just study AI. Build it.

Regex doesn't have to feel like cryptic punctuation. Mastering Regular Expressions shows you how patterns really work, how to debug them when they don't and how to use them confidently across nine programming languages. Go beyond memorizing syntax and learn to write regex that's clear, efficient and portable.

Discover how to make Python data processing faster, leaner and ready to scale with Polars. Starting with the basics, this practical guide takes you all the way to production-grade pipelines for massive datasets, with clear explanations of how Polars works, why it is fast and how to get the best performance from it.

Bring real Python to the browser. This practical guide takes you from Pyodide fundamentals to production-ready applications, with hands-on examples, proven patterns and clear-eyed trade-offs. Learn how Python and WebAssembly fit together, what works in the real world and how to build confidently for the web.

Most asyncio tutorials introduce async and await on page one and ask you to take the runtime on faith. This book does it the other way around. You build a working event loop inthirty lines of plain Python — no asyncio import — and meet the keywords as labels for parts of a runtime you have already watched run. By the end, async Python stops beingintimidating and starts being readable.

Turn Python testing from a manual chore into a reliable engineering workflow. Learn pytest through practical examples covering assertions, exceptions, fixtures, parametrization, test organization, coverage, and CI. Build a stronger safety net for your Python projects and refactor with confidence

Master NumPy from the ground up and learn to write fast, efficient Python for numerical computing. With clear explanations, practical examples and real-world techniques, this guide takes you from array basics to advanced workflows while helping you understand how NumPy really works.

Turn slow Python code into fast, production-ready extensions with Cython. This practical guide takes you from the fundamentals to real-world optimization, covering C and C++ integration, memory, parallelism, testing, debugging and packaging. Build your skills through complete working examples you can compile and run as you learn.

Build distributed systems that keep working when things go wrong. This hands-on guide shows you how to design reliable messaging architectures with Python and RabbitMQ, from core concepts to production-ready patterns. Follow real projects, write practical code and learn how to build scalable services that recover gracefully under load.

The Python AI ecosystem has hundreds of excellent libraries that nobody writes about because LangChain dominates the conversation. This book covers 38 of them. Each chapter is a practical guide: what the library does, why it exists, how to install it, and working Python code you can run today. No fluff, no theory — just tools and code.

Can you defeat the dragon? In The Dragon's Code, you won't just read about Python. You'll use it to create a real terminal adventure game from scratch. Explore mysterious rooms, battle monsters, solve puzzles, collect treasure, and face a dragon in an adventure where every chapter unlocks a new game mechanic and a new programming skill. No experience required.Just curiosity and a little courage!

Whether you're writing your first line of code or building professional applications, this book takes you from the fundamentals to real world Python development. Learn the skills, tools and best practices used by experienced developers to write clean, reliable and scalable code with confidence.