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

Python Extensions in Other Languages

At the time of writing Python-based applications, you are not limited to the Python language alone. There are tools such as Hy (mentioned briefly in Chapter 5, Elements of Metaprogramming) that allow you to write modules, packages, or even whole applications with some other language (a dialect of Lisp) that will run in a Python virtual machine. Although it gives you the ability to express program logic with completely different syntax, it is still the same language as it compiles to the same bytecode, which means that it has the same limitations as ordinary Python code. Let me list some of the following limitations for you:

  • Threading usability is greatly reduced due to the existence of Global Interpreter Lock (GIL) in CPython and dependent on the Python implementation of choice.
  • Python is not a compiled language so lacks compile-time optimizations...