Mastering Python Concurrency Free-threading and Sub-interpreters

For years, the Global Interpreter Lock (GIL) has prevented Python threads from scaling CPU-bound work across cores, forcing teams into heavier workarounds.
For years, the Global Interpreter Lock (GIL) has prevented Python threads from scaling CPU-bound work across cores, forcing teams into heavier workarounds.
In this course, Mastering Python Concurrency: Free-threading and Sub-interpreters, you'll gain the ability to scale CPU-bound Python applications by removing the GIL.
First, you'll explore why threads don't scale today and how async IO and CPU-bound work fit together in a hybrid design.
Next, you'll discover how to run Python without the GIL using the free-threaded build and how to isolate parallel work with sub-interpreters.
Finally, you'll learn how to profile, benchmark, and ship a production-grade, free-threaded service.
When you're finished with this course, you'll have the skills and knowledge of modern Python concurrency needed to scale CPU-bound workloads safely in production.
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