Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Learn Python Programming, 3rd edition

You're reading from   Learn Python Programming, 3rd edition An in-depth introduction to the fundamentals of Python

Arrow left icon
Product type Paperback
Published in Oct 2021
Publisher Packt
ISBN-13 9781801815093
Length 554 pages
Edition 3rd Edition
Languages
Tools
Arrow right icon
Authors (2):
Arrow left icon
Heinrich Kruger Heinrich Kruger
Author Profile Icon Heinrich Kruger
Heinrich Kruger
Fabrizio Romano Fabrizio Romano
Author Profile Icon Fabrizio Romano
Fabrizio Romano
Arrow right icon
View More author details
Toc

Table of Contents (18) Chapters Close

Preface 1. A Gentle Introduction to Python 2. Built-In Data Types FREE CHAPTER 3. Conditionals and Iteration 4. Functions, the Building Blocks of Code 5. Comprehensions and Generators 6. OOP, Decorators, and Iterators 7. Exceptions and Context Managers 8. Files and Data Persistence 9. Cryptography and Tokens 10. Testing 11. Debugging and Profiling 12. GUIs and Scripting 13. Data Science in Brief 14. Introduction to API Development 15. Packaging Python Applications 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...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime