Python

Teaser TextBuild the future with advanced Artificial Intelligence.The final volume of the 50 AI Projects series presents 10 advanced projects covering AI code review, news bias detection, blockchain voting, deepfake detection, smart farming, AI content creation, predictive healthcare, smart-city traffic optimization, conversational AI, and AI-generated music.Explore emerging AI technologies while following the complete Software Development Life Cycle—from problem definition and system architecture to development, testing, deployment, and future enhancement.50 projects. 5 volumes. One complete journey into practical AI development.

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 TextBuild smarter AI solutions for real-world problems.Volume 3 presents 10 intermediate-level AI projects covering intelligent tutoring, wildlife detection, healthcare scheduling, air-quality prediction, career recommendations, fire detection, adaptive e-learning, conversational AI, movie recommendations, and resume skill extraction.Each project follows the complete Software Development Life Cycle, helping readers move from problem identification and system design to AI development, testing, implementation, and future enhancement.Turn AI concepts into intelligent applications.

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.

Build terminal apps that feel fast, polished and built to last. Terminal Interfaces takes you from the fundamentals of how terminals work to production-ready TUIs in Go, Python and Rust, using complete examples that grow from simple programs into powerful real-world tools.

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.

Stop building brittle LLM wrappers and start engineering production-grade autonomous agent networks.This hands-on guide takes you from fundamental Transformer mechanics to orchestrating multi-agent architectures under Kubernetes with Python. Step beyond basic prototypes to master graph-based orchestration, grammar-constrained outputs, LoRA fine-tuning, RAG, and MCP. Learn to navigate critical production trade-offs—model routing, quantization, cost control, prompt injection security, and human-in-the-loop monitoring—to deploy resilient, enterprise-ready AI systems.

Get inside running software and see what it’s really doing. Mastering Frida takes you from your first hook to building serious instrumentation tools for Windows, Linux, macOS, Android and iOS. Learn how Frida works under the hood, where platforms differ and how to use its power without getting burned.

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.