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
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20
Index

Exercises

Now that you have learned about many of the available tools for performance measuring and optimization, try and create a few useful decorators or context wrappers that will help you prevent issues:

  • Try to create a decorator that monitors each run of a function and warns you if the memory usage grows each run.
  • Try to create a decorator that monitors the runtime of a function and warns you if it deviates too much from the previous run. Optionally, you could make the function generate a (running) average runtime as well.
  • Try to create a memory manager for your classes that warns you when more than a configured number of instances remain in memory. If you never expect more than 5 instances of a certain class, you can warn the user when that number is exceeded.

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...