Book Image

Expert Python Programming - Fourth Edition

By : Michał Jaworski, Tarek Ziadé
Book Image

Expert Python Programming - Fourth Edition

By: Michał Jaworski, Tarek Ziadé

Overview of this book

This new edition of Expert Python Programming provides you with a thorough understanding of the process of building and maintaining Python apps. Complete with best practices, useful tools, and standards implemented by professional Python developers, this fourth edition has been extensively updated. Throughout this book, you’ll get acquainted with the latest Python improvements, syntax elements, and interesting tools to boost your development efficiency. The initial few chapters will allow experienced programmers coming from different languages to transition to the Python ecosystem. You will explore common software design patterns and various programming methodologies, such as event-driven programming, concurrency, and metaprogramming. You will also go through complex code examples and try to solve meaningful problems by bridging Python with C and C++, writing extensions that benefit from the strengths of multiple languages. Finally, you will understand the complete lifetime of any application after it goes live, including packaging and testing automation. By the end of this book, you will have gained actionable Python programming insights that will help you effectively solve challenging problems.
Table of Contents (16 chapters)
14
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15
Index

Python's packaging ecosystem

The core of Python's packaging ecosystem is the Python Packaging Index. PyPI is a vast public repository of (mostly) free-to-use Python projects that at the time of writing hosts almost three and a half million distributions of more than 250,000 packages. That's not the biggest number among all package repositories (npm surpassed a million packages in 2019) but it still places Python among the leaders of packaging ecosystems.

Such a large ecosystem of packages doesn't come without a price. Modern applications are often built using multiple packages from PyPI that often have their own dependencies. Those dependencies can also have their own dependencies. In large applications, such dependency chains can go on and on. Add the fact that some packages may require specific versions of other packages and you may quickly run into dependency hell—a situation where it is almost impossible to resolve conflicting version requirements...