Python Tricks: A Buffet of Awesome Python Features

Introduction

The book «Python Tricks: A Buffet of Awesome Python Features» by Dan Bader was published in 2017 and instantly gained recognition among Python developers worldwide. This is not another textbook for beginners, but rather a collection of "recipes" and advanced techniques that help you write more elegant, efficient, and "pythonic" code. The 302-page book is aimed at those who have already mastered the basics of the language and want to move to the next level of mastery.

What is this book about?

Dan Bader has gathered under one cover more than 30 independent "tricks," each dedicated to a specific Python feature or idiom. The topics cover a wide range: from the effective use of built-in functions and the standard library to the intricacies of object-oriented programming, decorators, generators, context managers, and metaclasses. The book is structured so that you can start reading from any point — each chapter is self-contained. The author not only shows how a particular feature works but also explains why it is designed that way and in which situations its use is most justified.

Who is this book for?

The book is intended for developers who already have experience programming in Python (at least 1–2 years) and want to deepen their knowledge. It will be useful for:

• Developers transitioning from other languages (Java, C++, PHP) — it will help them understand the philosophy of Python and get rid of old habits.
• Professionals who write in Python daily but feel they are using only a small fraction of its capabilities.
• Those preparing for technical interviews — many tricks and idioms are often found in questions and tasks.
• Teachers and mentors looking for illustrative examples to explain advanced concepts.

What will the reader learn?

After reading the book, you will be able to:

• Write more concise and readable code using list comprehensions, generators, and unpacking.
• Effectively apply decorators to extend the functionality of functions and classes.
• Use context managers for safe resource management (files, connections).
• Understand and apply metaclasses and descriptors to create flexible APIs.
• Work with iterators and iterable objects like a professional.
• Use advanced features of the collections, itertools, and functools modules.
• Properly organize code using properties (@property) and slots (__slots__).
• Avoid common pitfalls and anti-patterns.

Strengths

The main advantage of the book is its practical focus. Each trick is accompanied by a small but complete code example that can be immediately run and modified. The author writes in a lively, engaging style, without overloading the reader with academic expositions. The structure is also worth noting: the book is divided into 5 parts, each dedicated to a specific area (functions, classes, standard library, efficiency, etc.). At the end of each chapter, there is a brief summary and links to additional resources. Another plus is that the book is relevant for Python 3 (although some examples also work in Python 2).

Who is it recommended for?

I highly recommend this book to anyone who wants to stop writing in Python "like in Java" or "like in C++" and start using the language to its full potential. It will be an excellent addition to such classic works as "Fluent Python" by Luciano Ramalho or "Effective Python" by Brett Slatkin. If you feel stuck at an intermediate level and don't know how to grow further — "Python Tricks" will give you dozens of ideas for improving your code and broadening your horizons. The book is also suitable for reading on the go or during breaks between tasks — each chapter takes 10–15 minutes.

In conclusion