Python Global Interpreter Lock (GIL) and Multithreading

🚀 Python – Interview Questions & Answers 📌 Question: What is Python Global Interpreter Lock (GIL)? The Global Interpreter Lock (GIL) is a mechanism in CPython that ensures only one thread executes Python bytecode at a time, even on multi-core processors. 🔹 Why does GIL exist? ✔ To manage memory safely ✔ To simplify memory management ✔ To avoid race conditions in object reference counting 🔹 What is the impact? ❌ In CPU-bound tasks, multithreading does NOT give true parallelism because only one thread runs at a time. ✅ In I/O-bound tasks (like file handling, network calls), threads can still improve performance because the GIL is released during I/O operations. 🔹 How to overcome GIL limitations? ✔ Use multiprocessing (multiple processes instead of threads) ✔ Use async programming (asyncio) ✔ Use implementations like Jython or IronPython (which don’t have GIL) 💡 Interview Tip: GIL affects multithreading in CPU-bound programs, but not necessarily I/O-bound applications. 👉 Follow Ashok IT School for daily Python interview questions 👉 Comment “PYTHON” for more concepts 👉For Python Course Details  Visit : https://lnkd.in/gf23u2Rh . #Python #PythonInterviewQuestions #GIL #Multithreading #AsyncIO #Multiprocessing #Programming #CodingInterview #AshokIT

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