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)
19
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Index

Versatile AI libraries and utilities

Python is by far the most popular language when it comes to developing AI systems. The result of this popularity is that there are a huge number of libraries available for every branch of AI you can think of. There is at least a single good library for nearly every AI technique, and often dozens.

In this section of this chapter, you will find a curated (and incomplete) list of useful AI libraries split into segments. There are many more that are not mentioned due to being too specific, too new, or simply because I have omitted them owing to the great number of libraries that are out there.

scikit-learn – Machine learning in Python

The scikit-learn library is an extremely versatile machine learning library that covers many AI topics; for many of them, this should be your starting point. We have already seen the scikit-image library earlier, which is a part of the scikit-learn project, but there are many more options.

The...