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

Concurrency

Concurrency and one of its manifestations, parallel processing, is one of the broadest topics in the area of software engineering. It is so huge that it could take dozens of books and we would still not be able to discuss all of its important aspects and models.

This is why I won't try to fool you and from the very beginning state that we will barely touch the surface of this topic. The purpose of this chapter is to show you why concurrency may be required in your application, when to use it, and what the most important concurrency models that you may use in Python are, which are the following:

  • Multithreading
  • Multiprocessing
  • Asynchronous programming

We will also discuss some of the language features, built-in modules, and third-party packages that allow you to implement these models in your code. But we won't cover them in much detail. Treat the content...