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

Not only CPython

The reference Python interpreter implementation is called CPython and, as its name suggests, it is written entirely in the C language. It was always C and probably will be still for a very long time. That's the implementation that most Python programmers choose because it is always up to date with the language specification and is the interpreter that most libraries are tested on. But, besides C, Python interpreter was written in a few other languages. Also, there are some modified versions of CPython interpreter available under different names and tailored exactly for some niche applications. Most of them are a few milestones behind CPython, but provide a great opportunity to use and promote the language in a specific environment.

In this section, we will discuss some of the most prominent and interesting alternative Python implementations.

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