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Secret Recipes of the Python Ninja

Secret Recipes of the Python Ninja

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Secret Recipes of the Python Ninja

Secret Recipes of the Python Ninja

Overview of this book

This book covers the unexplored secrets of Python, delve into its depths, and uncover its mysteries. You’ll unearth secrets related to the implementation of the standard library, by looking at how modules actually work. You’ll understand the implementation of collections, decimals, and fraction modules. If you haven’t used decorators, coroutines, and generator functions much before, as you make your way through the recipes, you’ll learn what you’ve been missing out on. We’ll cover internal special methods in detail, so you understand what they are and how they can be used to improve the engineering decisions you make. Next, you’ll explore the CPython interpreter, which is a treasure trove of secret hacks that not many programmers are aware of. We’ll take you through the depths of the PyPy project, where you’ll come across several exciting ways that you can improve speed and concurrency. Finally, we’ll take time to explore the PEPs of the latest versions to discover some interesting hacks.
Table of Contents (11 chapters)
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Preface

Many readers might feel that they have mastered the Python language and know everything it takes to write applications that utilize the best features of the language. This book aims to delve into aspects of Python and related technology that some developers have never experienced.

The book will unveil little-known or misunderstood aspects of Python related to the implementation of the standard library and provide understanding of how the modules actually work. The book shows the proper implementation of collections and the math module, along with numbers such as decimals and fractions that will help readers expand their horizons. Readers will learn about decorators, context managers, coroutines, and generator functions before learning about internal special methods in detail. The book explores the CPython interpreter, covering command options that can change how the environment functions as well as alternative interactive shells that improve on the normal Python experience. Readers will take a tour of the PyPy project, where they will be exposed to several new ways to improve speed and concurrency of their applications. Several Python Enhancement Proposals of the latest versions are reviewed to see what will be coming in the future of Python. Finally, it provides information on the different ways to document Python code.

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