Book Image

Learning Concurrency in Python

By : Elliot Forbes
Book Image

Learning Concurrency in Python

By: Elliot Forbes

Overview of this book

Python is a very high level, general purpose language that is utilized heavily in fields such as data science and research, as well as being one of the top choices for general purpose programming for programmers around the world. It features a wide number of powerful, high and low-level libraries and frameworks that complement its delightful syntax and enable Python programmers to create. This book introduces some of the most popular libraries and frameworks and goes in-depth into how you can leverage these libraries for your own high-concurrent, highly-performant Python programs. We'll cover the fundamental concepts of concurrency needed to be able to write your own concurrent and parallel software systems in Python. The book will guide you down the path to mastering Python concurrency, giving you all the necessary hardware and theoretical knowledge. We'll cover concepts such as debugging and exception handling as well as some of the most popular libraries and frameworks that allow you to create event-driven and reactive systems. By the end of the book, you'll have learned the techniques to write incredibly efficient concurrent systems that follow best practices.
Table of Contents (20 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
Index

Summary


In this chapter, we successfully covered everything you need to get started with thread pools, process pools, and future objects. We looked at the various ways you could instantiate your own thread pools and process pools as well the advantages of using thread and process pool executors over the traditional methods.

You should now have a good appreciation of how we can improve the performance of our multi-threaded, multi-processed applications by utilizing this pooled-resource concept.

We also looked at how we could improve the existing implementation of our web crawler and refactor it so that it was easier to follow, and utilized some of the key concepts featured in this chapter. In the next chapter, we'll be looking at how we can utilize multiple processes within our applications, in depth.