Скачать или смотреть Threading vs Multiprocessing vs AsyncIO 🚀 #41 || Python ka Pitara || DeathCode

Threading vs Multiprocessing vs AsyncIO 🚀 41 || Python ka Pitara || DeathCode
🚀 Threading? Multiprocessing? AsyncIO?
Python me concurrency ke itne options hai ki confusion hona normal hai!
Iss video me hum deep dive karenge ki kaun si technique kis type ke task ke liye BEST hoti hai — CPU tasks, IO tasks, parallel tasks, background jobs, sab kuch ek hi video me!

🎯 What You Will Learn:
✅ What is Threading and how GIL affects it
✅ When Threading is good → I/O-bound tasks
✅ Why Multiprocessing is needed for CPU-bound tasks
✅ How AsyncIO beats both for massive I/O concurrency
✅ Internal working of:
Threads
Processes
Coroutines (async/await)
✅ Real benchmarks of all 3 concurrency models
✅ Which one YOU should use & when
✅ Common mistakes, performance traps & best practices

📌 Concepts Covered:
✔ GIL (Global Interpreter Lock)
✔ CPU-bound vs I/O-bound
✔ Thread Scheduling
✔ Process-based Parallelism
✔ Event Loop & Coroutines
✔ Non-blocking I/O
✔ asyncio.gather(), threading.Thread, multiprocessing.Process
✔ Performance comparison

🧪 Real-World Examples You’ll See:
Downloading multiple files using threads
CPU-heavy tasks (Fibonacci, image processing) using multiprocessing
Async API calls running in parallel using async/await
Measuring speed of Thread vs Process vs Async for the same task
When async is 1000x faster for network tasks
When threading fails because of GIL
When multiprocessing becomes overkill

📺 Series: Python ka Pitara – DeathCode
🧑‍💻 Language: Hinglish
🎓 Level: Intermediate → Advanced
🎬 Channel: DeathCode – Real Python Internals + Masterclass-Level Explanations 🔥

Complete Notes(With code): https://deathcode.in/courses/python-k...
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