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Learn Python Programming

You're reading from   Learn Python Programming A comprehensive, up-to-date, and definitive guide to learning Python

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Product type Paperback
Published in Nov 2024
Publisher Packt
ISBN-13 9781835882948
Length 616 pages
Edition 4th Edition
Languages
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Authors (2):
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Heinrich Kruger Heinrich Kruger
Author Profile Icon Heinrich Kruger
Heinrich Kruger
Fabrizio Romano Fabrizio Romano
Author Profile Icon Fabrizio Romano
Fabrizio Romano
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Toc

Table of Contents (20) Chapters Close

Preface A Gentle Introduction to Python FREE CHAPTER Built-In Data Types Conditionals and Iteration Functions, the Building Blocks of Code Comprehensions and Generators OOP, Decorators, and Iterators Exceptions and Context Managers Files and Data Persistence Cryptography and Tokens Testing Debugging and Profiling Introduction to Type Hinting Data Science in Brief Introduction to API Development CLI Applications Packaging Python Applications Programming Challenges Other Books You May Enjoy
Index

Alternative tools

Before we finish the chapter, let us briefly discuss some alternative options that you have for packaging your projects. Before PEP 517 and PEP 518, it was difficult to use anything other than Setuptools to build packages. There was no way for projects to specify what libraries were required to build them or how they should be built, so pip and other tools just assumed that packages should be built using Setuptools.

Thanks to the build-system information in the pyproject.toml file, it is now easy to use any packaging library you want. There are several alternatives to choose from, including:

  • The Flit project (https://flit.pypa.io) was instrumental in inspiring the development of the PEP 517 and PEP 518 standards (the creator of Flit was a co-author of PEP 517). Flit aims to make packaging simple, pure Python projects that do not require complex build steps (like compiling C code) as easy as possible. Flit also provides a CLI for building packages and...
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