Books

The Rust book written for Python developers. Every concept explained from your Python mental model — ownership through GC comparison, traits through protocols, concurrency through the GIL. Build a CLI tool that outperforms Python by 10-50x, then call it from Python with PyO3.

Python, JavaScript, and TypeScript taught side by side — every concept in all three languages, every example pulled from real QA work.

It's a practical book. We're going to build something real together, a University API, and we're going to grow it chapter by chapter until it looks like a system you'd be proud to deploy. We'll start with a few endpoints, give it databases, make it concurrent, lock it down with authentication, wrap it in containers, and finally split it into cooperating services that talk over the network.

We'll stick to five libraries, not because more would be a problem, but because keeping it simple shows how well we can organise things. When you download MNIST with just the standard library, you finally see what a dataset loader was hiding. If you write attention as four lines of NumPy before you ever call a PyTorch module, it's no longer a magic process but just plain arithmetic.

PyTorch Deep Dive is a practical guide to mastering modern deep learning with PyTorch. From core concepts to advanced topics like transformers, diffusion models, and production deployment, it combines clear explanations, hands-on examples, and real-world best practices to help you build and scale AI applications with confidence.

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.

Python looks the same on the surface, but almost everything underneath has changed. This book brings you up to speed on Python 3.13/3.14, the free threaded build, uv, and the tools working engineers actually use today, with runnable examples in every chapter.

Web Programming with Python and Flask: A Comprehensive Guide provides a structured and practical pathway into modern web development using one of Python’s most flexible and developer-friendly frameworks.Beginning with the fundamentals of web programming, the book guides readers through the complete Flask application-development journey—from installing Python and creating a development environment

Build intelligent AI applications with LangChain using practical, production-ready Python examples. From intelligent agents and retrieval-augmented generation to scalable deployment and observability, this book equips you with the skills and architectural understanding needed to create reliable, real-world LLM-powered systems.

Python is not just a language. It's a way of thinking. 10 chapters. 10 ideas. One journey.

Build and operate production AI platforms on Kubernetes. Learn to manage NVIDIA GPUs, serve and optimize LLMs with vLLM, run training and batch workloads, and design secure, observable, multi-tenant infrastructure for AI at scale.

Infrastructure automation in 2026 is about building intelligent, resilient, and cloud-native systems at scale. Server Automation with Python: The 2026 Edition explores modern Python-driven workflows spanning GitOps, immutable infrastructure, cloud SDKs, chaos engineering, and AI-assisted development, providing practical guidance for creating secure, scalable, and self-healing platforms.

Stop translating Python in your head. Compare ES6/TypeScript and Python side by side and start writing Python with confidence.

Build production-ready AI applications from first principles. Using Querybase as a practical case study, this book teaches Python, software architecture, retrieval, and deterministic AI pipelines. Learn to design maintainable, scalable systems without relying on framework magic or black-box abstractions.

Stop playing other people's dungeons. Build your own RPG roguelike in Python and hand it to a friend who had no idea you could do that.