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

Chapter 3. Life of a Thread

In the previous chapter, we looked in depth at the concepts of concurrency and parallelism as well as some of the key issues we face in multithreaded Python applications. Now it's time to look at how we can start working with threads and manipulate them to our will. In this chapter, we'll be diving into the life of a thread. We'll cover various topics such as:

  • The different states a thread can be in
  • Different types of threads - Windows vs POSIX
  • The best practices when it comes to starting your own threads
  • How we can make our lives easier when it comes to working with loads of threads
  • Finally, we'll be looking at how we can end threads and the various multithreading models out there