Python Thread Safety: Using a Lock and Other Techniques
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