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Mastering Python 2E

You're reading from   Mastering Python 2E Write powerful and efficient code using the full range of Python's capabilities

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Product type Paperback
Published in May 2022
Last Updated in May 2022
Publisher Packt
ISBN-13 9781800207721
Length 710 pages
Edition 2nd Edition
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Author (1):
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Rick Hattem Rick Hattem
Author Profile Icon Rick Hattem
Rick Hattem
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Table of Contents (21) Chapters Close

Preface 1. Getting Started – One Environment per Project FREE CHAPTER 2. Interactive Python Interpreters 3. Pythonic Syntax and Common Pitfalls 4. Pythonic Design Patterns 5. Functional Programming – Readability Versus Brevity 6. Decorators – Enabling Code Reuse by Decorating 7. Generators and Coroutines – Infinity, One Step at a Time 8. Metaclasses – Making Classes (Not Instances) Smarter 9. Documentation – How to Use Sphinx and reStructuredText 10. Testing and Logging – Preparing for Bugs 11. Debugging – Solving the Bugs 12. Performance – Tracking and Reducing Your Memory and CPU Usage 13. asyncio – Multithreading without Threads 14. Multiprocessing – When a Single CPU Core Is Not Enough 15. Scientific Python and Plotting 16. Artificial Intelligence 17. Extensions in C/C++, System Calls, and C/C++ Libraries 18. Packaging – Creating Your Own Libraries or Applications 19. Other Books You May Enjoy
20. Index

Introduction to artificial intelligence

Before we continue with this chapter, we need to establish a few definitions. Because artificial intelligence (AI) is such a broad subject, the lines tend to blur a bit, so we need to make sure that we are all talking about the same thing.

First of all, we define AI as any algorithm with a human-like ability to solve problems. While I admit that this statement is very broad, any narrower definition would exclude valid AI strategies. What is and is not AI is more a philosophical question than a technical one. While (almost) anyone would consider a neural network to be AI, once you get to algorithms such as (Bayesian) decision trees, not everyone agrees anymore.

With that broad definition in mind, here is a list of technologies and terms we are going to cover, with a short explanation of what they are and what they can do.

Types of AI

Within the broad scope of AI, we have two major branches, machine learning (ML) and the rest....

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