What you'll learn

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.