Book Image

Mastering Python 2E - Second Edition

By : Rick van Hattem
5 (1)
Book Image

Mastering Python 2E - Second Edition

5 (1)
By: Rick van Hattem

Overview of this book

Even if you find writing Python code easy, writing code that is efficient, maintainable, and reusable is not so straightforward. Many of Python’s capabilities are underutilized even by more experienced programmers. Mastering Python, Second Edition, is an authoritative guide to understanding advanced Python programming so you can write the highest quality code. This new edition has been extensively revised and updated with exercises, four new chapters and updates up to Python 3.10. Revisit important basics, including Pythonic style and syntax and functional programming. Avoid common mistakes made by programmers of all experience levels. Make smart decisions about the best testing and debugging tools to use, optimize your code’s performance across multiple machines and Python versions, and deploy often-forgotten Python features to your advantage. Get fully up to speed with asyncio and stretch the language even further by accessing C functions with simple Python calls. Finally, turn your new-and-improved code into packages and share them with the wider Python community. If you are a Python programmer wanting to improve your code quality and readability, this Python book will make you confident in writing high-quality scripts and taking on bigger challenges
Table of Contents (21 chapters)
19
Other Books You May Enjoy
20
Index

Exercises

Now that you have seen several testing and logging options, it’s time to try it yourself.

A few challenges:

  • Create a function that tests the doctests of a given function/class.
  • For a greater challenge, create a function that recursively tests all doctests of every function and class in a given module.
  • Create a py.test plugin that checks if all tested files have file-level documentation. Hint: use pytest_collect_file.
  • Create a custom tox environment to run flake8 or mypy on your project.
  • Create a LoggerAdapter that combines multiple messages into a single message based on some task ID. This can be useful when debugging long-running tasks.

Example answers for these exercises can be found on GitHub: https://github.com/mastering-python/exercises. You are encouraged to submit your own solutions and learn about alternative solutions from others.