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

Code deployment is not a simple topic and you should already know that after reading this chapter. Extensive discussion of this problem could easily take a few books. Even though we limited our scope exclusively to web application, we have barely scratched the surface. We used the Twelve-Factor App methodology as the basis for showing possible solutions for various problems related to code deployment. We discussed in detail only a few of them: log treatment, managing dependencies, and separating build/run stages.

After reading this chapter, you should know how to start automating your deployment process, taking into consideration best practices, and be able to add proper instrumentation and monitoring for code that is run on your remote hosts.

In the next chapter, we will be learning why writing extensions in C and C++ for Python can sometimes be a good solution and show...