Python threading allows you to run parts of your code concurrently, making the code more efficient. However, when you introduce threading to your code without knowing about thread safety, you may run into issues such as race conditions. You solve these with tools like locks, semaphores, events, conditions, and barriers.
By the end of this tutorial, you’ll be able to identify safety issues and prevent them by using the synchronization primitives in Python’s threading module to make your code thread-safe.
In this tutorial, you’ll learn:
- What thread safety is
- What race conditions are and how to avoid them
- How to identify thread safety issues in your code
- What different synchronization primitives exist in the
threadingmodule - How to use synchronization primitives to make your code thread-safe
To get the most out of this tutorial, you’ll need to have basic experience working with multithreaded code using Python’s threading module and ThreadPoolExecutor.
Get Your Code: Click here to download the free sample code that you’ll use to learn about thread safety techniques in Python.