Python Thread Module Explained | When to Use Multiprocessing 🚀 #39 || Python ka Pitara || DeathCode
Python Multitasking 🔥 | Threads & Multiprocessing 39 || Python ka Pitara || DeathCode
🧵 Multithreading in Python – suna sabne, samjha kisne?
Is video me hum Python Threads aur GIL (Global Interpreter Lock) ko poori detail me samjhenge!
Aapko milega clear idea of Threading vs Multiprocessing, kab kya use karna chahiye, aur Python CPU-bound tasks ke liye kaise handle karta hai. ⚙️🔥
🎯 What You Will Learn:
✅ What is Multithreading & how it works in Python
✅ What is the GIL (Global Interpreter Lock) and why it exists
✅ How Python executes threads internally (CPython perspective)
✅ The difference between CPU-bound and I/O-bound tasks
✅ When to use `threading` module vs `multiprocessing`
✅ How multiprocessing bypasses the GIL
✅ Real performance comparison between both
✅ Common pitfalls & best practices
📌 Concepts Covered:
✔ Python Threading Module (`threading`, `Thread`, `Lock`)
✔ GIL (Global Interpreter Lock)
✔ CPU-bound vs IO-bound Tasks
✔ Multiprocessing Module & Process-based Parallelism
✔ Inter-Process Communication
✔ Thread Safety & Locks
✔ How Python handles concurrency internally
🧪 Real-World Demos You’ll See:
Running multiple threads for I/O tasks (like downloading, logging, etc.)
Running CPU-heavy code with threads vs multiprocessing
Measuring performance differences using `time` module
How GIL blocks threads on CPU-bound tasks
Using `multiprocessing.Pool` for true parallelism
Thread synchronization using `Lock`, `RLock`, and Queues
📺 Series: Python ka Pitara – DeathCode
🧑💻 Language: Hinglish
🎓 Level: Intermediate to Advanced
🎬 Channel: DeathCode – Real Python Internals & Deep Explanations IIT like🔥
Complete Notes(With code): https://deathcode.in/courses/python-k...
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