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 4. Synchronization between Threads

Nowthat we've taken a look at threads, and how we can work with and create these threads using various mechanisms in the previous chapter, it's time to look at some of the basic synchronization primitives we can leverage within our multi-threads.

It's not enough to simply add multiple threads to your application in order to improve performance. You also have to take into consideration complexities such as race conditions, and ensure that your code is properly guarded against them.

In this chapter, we'll look at some of the following concepts:

  • How we can synchronize our data between threads
  • Race conditions--what are they and how to guard against them
  • Deadlock, and how it can cripple your systems and bring them to their knees
  • An overview of all of the synchronization primitives that Python has to offer

We'll also be introducing some of the key tools that Python developers utilize in order to make the fight against conflicts easier and ensure that our programs...