Python Multiprocessing vs Multithreading Explained Simply

Multiprocessing and multithreading are two important concepts in Python, but they can be confusing when you are just getting started.

#Python #PythonProgramming #Multithreading #Multiprocessing #BackendDevelopment

In this video, I explain the difference between processes and threads in a simple way, using practical Python examples. You will learn what happens when you run a Python file, how the operating system gives memory and CPU to a process, and how a single process can run multiple threads.

We also cover when to use multithreading and when to use multiprocessing:

Use multithreading for I/O-bound tasks like API calls, sending emails, reading files, or waiting for external responses.
Use multiprocessing for CPU-bound tasks like image processing, heavy calculations, or tasks that need real parallel execution.

I also show a common multithreading problem using a shared balance variable, and then explain how threading.Lock() helps prevent race conditions.

By the end of this video, you will clearly understand how to use multiprocessing and multithreading safely in Python.

Chapters

00:00 Introduction to Multiprocessing and Multithreading
00:39 What Happens When You Run a Python File?
04:43 When to Use Multithreading vs Multiprocessing
06:32 Single Python Process Demo
07:43 Multithreading Demo in Python
09:29 Threading Problem and Race Condition
11:18 Using Thread Lock and Multiprocessing Demo

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Видео Python Multiprocessing vs Multithreading Explained Simply канала Raj Kapadia