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Python Object-Oriented Programming - Fourth Edition

You're reading from  Python Object-Oriented Programming - Fourth Edition

Product type Book
Published in Jul 2021
Publisher Packt
ISBN-13 9781801077262
Pages 714 pages
Edition 4th Edition
Languages
Authors (2):
Steven F. Lott Steven F. Lott
Profile icon Steven F. Lott
Dusty Phillips Dusty Phillips
Profile icon Dusty Phillips
View More author details

Table of Contents (17) Chapters

Preface 1. Object-Oriented Design 2. Objects in Python 3. When Objects Are Alike 4. Expecting the Unexpected 5. When to Use Object-Oriented Programming 6. Abstract Base Classes and Operator Overloading 7. Python Data Structures 8. The Intersection of Object-Oriented and Functional Programming 9. Strings, Serialization, and File Paths 10. The Iterator Pattern 11. Common Design Patterns 12. Advanced Design Patterns 13. Testing Object-Oriented Programs 14. Concurrency 15. Other Books You May Enjoy
16. Index

Concurrency

Concurrency is the art of making a computer do (or appear to do) multiple things at once. Historically, this meant inviting the processor to switch between different tasks many times per second. In modern systems, it can also literally mean doing two or more things simultaneously on separate processor cores.

Concurrency is not inherently an object-oriented topic, but Python's concurrent systems provide object-oriented interfaces, as we've covered throughout the book. This chapter will introduce you to the following topics:

  • Threads
  • Multiprocessing
  • Futures
  • AsyncIO
  • The dining philosophers benchmark

The case study for this chapter will address ways we can speed up model testing and hyperparameter tuning. We can't make the computation go away, but we can leverage a modern, multi-core computer to get it done in less time.

Concurrent processes can become complicated. The basic concepts are fairly simple, but the...

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