Book Image

Learn Python Programming, 3rd edition - Third Edition

By : Fabrizio Romano, Heinrich Kruger
5 (1)
Book Image

Learn Python Programming, 3rd edition - Third Edition

5 (1)
By: Fabrizio Romano, Heinrich Kruger

Overview of this book

Learn Python Programming, Third Edition is both a theoretical and practical introduction to Python, an extremely flexible and powerful programming language that can be applied to many disciplines. This book will make learning Python easy and give you a thorough understanding of the language. You'll learn how to write programs, build modern APIs, and work with data by using renowned Python data science libraries. This revised edition covers the latest updates on API management, packaging applications, and testing. There is also broader coverage of context managers and an updated data science chapter. The book empowers you to take ownership of writing your software and become independent in fetching the resources you need. You will have a clear idea of where to go and how to build on what you have learned from the book. Through examples, the book explores a wide range of applications and concludes by building real-world Python projects based on the concepts you have learned.
Table of Contents (18 chapters)
16
Other Books You May Enjoy
17
Index

Summary

In this chapter, we looked at how to package and distribute Python projects through the Python Package Index. We started with some theory about packaging and introduced the concepts of projects, releases, and distributions on PyPI.

We talked about setuptools, the most widely used packaging library for Python, and worked through the process of preparing a project for packaging with setuptools. In the process, we saw various files that need to be added to a project to package it and what each of them is for. We discussed the metadata that you should provide to describe your project and help users find it on PyPI, as well as how to add our code and data files to our distribution, how to specify our dependencies, and how to define entry points so that pip will automatically generate scripts for us. We also looked at the tools that Python gives us to query the distribution metadata from our code and how to access packaged data resources in our code.

We moved on to talk...