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)
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Getting Started – One Environment per Project

In this chapter, you’ll learn about the different ways of setting up Python environments for your projects and how to use multiple Python versions on a single system outside of what your package manager offers.

After the environment is set up, we will continue with the installation of packages using both the Python Package Index (PyPI) and conda-forge, the package index that is coupled with Anaconda.

Lastly, we will look at several methods of keeping track of project dependencies.

To summarize, the following topics will be covered:

  • Creating environments using venv, pipenv, poetry, pyenv, and anaconda
  • Package installation through pip, poetry, pipenv, and conda
  • Managing dependencies using requirements.txt, poetry, and pipenv