Effective Python: 90 Specific Ways to Write Better Python

Introduction

The book «Effective Python: 90 Specific Ways to Write Better Python» (second edition, 2020) by Brett Slatkin is not a textbook for beginners, but a collection of specific, battle-tested recommendations that help you write cleaner, more efficient, and more maintainable Python code. Unlike many books that simply paraphrase the documentation, Slatkin shares real-world experience gained over years working at Google and on large projects. Each of the 90 tips is an independent mini-chapter containing a problem, a solution, and a detailed explanation with examples.

What the book is about

The book covers a wide range of topics: from basic Python idioms to advanced techniques for working with concurrency, metaclasses, and testing. The second edition is fully updated for Python 3.8+ and includes new tips that were absent in the first version. The book's structure is logical: it is divided into thematic sections, each dedicated to a specific area of the language.

Main sections:

• Python Style and Idioms — how to write "pythonic" code using slices, generators, unpacking, and other features.
• Functions — closures, decorators, arguments, type annotations.
• Classes and Inheritance — proper use of OOP, composition over inheritance, properties and descriptors.
• Metaclasses and Attributes — a deep dive into Python's mechanisms.
• Concurrency and Parallelism — threads, processes, asyncio, concurrent.futures.
• Modules and Packages — code organization, imports, relative paths.
• Testing and Debugging — unittest, pytest, profiling, logging.
• Productivity — tools, environment, tips for working on large projects.

Who this book is for

The book is aimed at developers who already know Python syntax and want to move to the next level. It will be useful for:

• Programmers with experience in other languages transitioning to Python.
• Developers who have been writing Python for 1–2 years and feel their code could be improved.
• Team leads and architects who want to establish coding standards within a team.
• Anyone preparing for technical interviews for a Python developer position.

What the reader will learn

After reading the book, you will be able to:

• Write code that is easy to read and maintain.
• Avoid common Python pitfalls and anti-patterns.
• Effectively use generators, iterators, and context managers.
• Apply type annotations to improve documentation and catch errors.
• Work with parallel computations without data races and deadlocks.
• Design flexible classes using metaclasses and descriptors.
• Write reliable tests and profile performance.
• Organize large projects using modules and packages.

Strengths

• Practical focus: each tip is backed by a real code example that can be applied immediately.
• Relevance: the second edition covers Python 3.8+ and new language features (f-strings, dataclasses, pattern matching).
• Structure: the book is divided into short, easily digestible chapters — you can start reading from any point.
• Depth: the author is not afraid to delve into the details of CPython implementation, explaining why some approaches are faster than others.
• Quality of examples: the code is clean, commented, and easy to adapt to your own tasks.

Recommended for

The book is a must-read for anyone seriously involved in Python development. It will be useful for both freelancers and employees of large companies. If you want not just to write working code, but to create reliable, performant, and elegant