🎓 Course [PluralSight] Mastering Python Concurrency: Free-threading And Sub-interpreters | By: Mateo Prigl | DDL | 300 MB

Mastering Python Concurrency.webp

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🔹 DESCRIPTION:
Bypass Python's Global Interpreter Lock (GIL) to handle CPU-bound tasks in parallel


𝗪𝗛𝗔𝗧 𝗬𝗢𝗨 𝗪𝗜𝗟𝗟 𝗟𝗘𝗔𝗥𝗡:

➽ Why the GIL stops threads from scaling across cores
➽ How to combine async IO and CPU-bound work
➽ How to run the free-threaded Python build
➽ How to isolate parallel tasks using sub-interpreters
➽ How to profile and benchmark your concurrent code
➽ How to ship free-threaded Python safely to production



❉ L I N K: ❉
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