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Expert Python Programming

Expert Python Programming - Third Edition

By : Michał Jaworski, Tarek Ziadé, Cody Jackson
3 (2)
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Expert Python Programming

Expert Python Programming

3 (2)
By: Michał Jaworski, Tarek Ziadé, Cody Jackson

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)
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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

Useful tools

Common conventions and practices used in a software project should always be documented. But having proper documentation for guidelines is often not enough to enforce that these guidelines are actually followed. Fortunately, you can use automated tools that can check sources of your code and verify if it meets specific naming conventions and style guidelines.

The following are a few popular tools:

  • pylint: This is a very flexible source code analyzer
  • pycodestyle and flake8: This is a small code style checker and a wrapper that adds to it some more useful features, such as static analysis and complexity measurement

Pylint

Besides some quality assurance metrics, Pylint allows for checking of whether a given source...

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Expert Python Programming
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