Book Image

Expert Python Programming - Third Edition

By : Michał Jaworski, Tarek Ziadé
Book Image

Expert Python Programming - Third Edition

By: Michał Jaworski, Tarek Ziadé

Overview of this book

Python is a dynamic programming language that's used in a wide range of domains thanks to its simple yet powerful nature. Although writing Python code is easy, making it readable, reusable, and easy to maintain is challenging. Complete with best practices, useful tools, and standards implemented by professional Python developers, the third edition of Expert Python Programming will help you overcome this challenge. The book will start by taking you through the new features in Python 3.7. You'll then learn the advanced components of Python syntax, in addition to understanding how to apply concepts of various programming paradigms, including object-oriented programming, functional programming, and event-driven programming. This book will also guide you through learning the naming best practices, writing your own distributable Python packages, and getting up to speed with automated ways to deploy your software on remote servers. You’ll discover how to create useful Python extensions with C, C++, Cython, and CFFI. Furthermore, studying about code management tools, writing clear documentation, and exploring test-driven development will help you write clean code. By the end of the book, you will have become an expert in writing efficient and maintainable Python code.
Table of Contents (25 chapters)
Free Chapter
1
Section 1: Before You Start
4
Section 2: Python Craftsmanship
12
Section 3: Quality over Quantity
16
Section 4: Need for Speed
20
Section 5: Technical Architecture
23
reStructuredText Primer

Summary

This chapter explained one of the most advanced topics in the book. We discussed the reasons and tools for building Python extensions. We started by writing pure C extensions that depend only on Python/C API and then reimplemented it with Cython to show how easy it can be if you only choose the proper tool.

There are still some reasons for doing things the hard way and using nothing more than the pure C compiler and the Python.h headers. Anyway, the best recommendation is to use tools such as Cython or Pyrex (not featured here) because this will make your code base more readable and maintainable. It will also save you from most of the issues caused by incautious reference counting and memory mismanagement.

Our discussion of extensions ended with the presentation of ctypes and CFFI as alternative ways to solve the problems of integrating shared libraries. Because they do...