Thread Safety in Python: Locks and Other Techniques
Threads share state in your programs, which means race conditions can be created when two or more threads fight to update a value. This course is about the various primitives you can use to ensure atomic access to your program’s shared state.
By the end of this video course, 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 video course, 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