تسلط بر همروندی در پایتون : قابلیت Free-threading و Sub-interpreters

عنوان دوره : Pluralsight – Mastering Python Concurrency: Free-threading and Sub-interpreters

سطح : پیشرفته

زمان کل دوره : 1 ساعت و 54 دقیقه

تعداد فايل ها : 22

سال آموزش : 2026

فایل تمرینی : دارد: ZIP (1)

مربی دوره : Mateo Prigl

نرم افزار : –

زیرنویس انگلیسی : دارد

Pluralsight – Mastering Python Concurrency: Free-threading and Sub-interpreters

Mastering Python Concurrency: Free-threading and Sub-interpreters

Python’s GIL has long capped multi-threaded CPU performance. This course will teach you to scale CPU-bound Python with 3.14 free-threading and sub-interpreters, from diagnosing the GIL to shipping a production concurrency architecture.
Advanced
1h 54m

Created by Mateo Prigl

Last Updated Aug 24, 2026
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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.