Mastering Python

Introduction

The book "Mastering Python" by Rick van Hattem is not another introduction to the language's syntax, but a full-fledged guide for those who already write Python confidently and want to reach the next level. Published in 2022 (second edition), it covers Python versions 3.9 and 3.10, including the latest features such as match expressions and improved type annotations. The volume is 710 pages of dense technical text that does not forgive superficial reading but generously rewards the thoughtful reader.

On the educational portal PythonLib, we often receive requests: "What should I read after a basic course?" The answer is clear — this book. It doesn't teach you to write "just working code"; it teaches you to think like a tool creator, not a user.

What the book is about

The book consists of 16 chapters, each dedicated to a separate area of mastery. The author consistently guides the reader from advanced work with data structures to metaprogramming, debugging, and performance optimization.

• Chapters 1–3: Advanced data types, collections, iterators, and generators. Here you will learn how to work efficiently with memory and create your own iterable objects.
• Chapters 4–6: Functional programming in Python — decorators, closures, functools, itertools. The author reveals how to write clean, declarative code without side effects.
• Chapters 7–9: Metaprogramming and reflection. You will learn to create class decorators, intercept attributes, work with metaclasses, and write your own descriptors.
• Chapters 10–12: Asynchronous programming (asyncio, coroutines, event loop), multithreading, and multiprocessing. Special attention is given to the GIL and ways to bypass it.
• Chapters 13–14: Testing (unittest, pytest, mock) and debugging (pdb, profiling).
• Chapters 15–16: Performance optimization, C extensions, Cython, Numba, and project packaging.

Who this book is for

The book is intended for middle and senior developers, as well as for those who want to transition from the "language user" category to the "expert" category. If you have already written several projects in Django, Flask, or FastAPI, but feel you don't fully understand how Python itself works — this book is for you.

The book is not suitable for beginners: the author does not explain basic syntax, nor does he explain what a variable or a loop is. It is assumed that the reader is fluent in Python at a level sufficient to write production code.

What the reader will learn

• How to use advanced features of the collections, itertools, and functools modules to create efficient algorithms.
• The principles of functional programming and their implementation in Python (decorators, partial application, currying).
• Metaprogramming techniques: metaclasses, descriptors, operator overloading, creating DSLs.
• Asynchronous programming "from the inside": how the event loop works, how to avoid blocking, how to design asynchronous APIs.
• Profiling and optimization tools: cProfile, memory_profiler, dis, timeit.
• Writing C extensions using Cython and ctypes.
• Modern testing practices: property-based testing (Hypothesis), mocking, pytest fixtures.

Strengths

Depth without fluff. Each chapter contains not just theory, but real examples from the author's practice. Rick van Hattem is a core CPython developer, so his explanations of the interpreter's internal workings are accurate and authoritative.

Relevance. The book is written for Python 3.10, making it one of the most up-to-date on the market. It covers match/case, structural typing, and new dataclasses features.

Practical focus.