Python MultiProcessing: Leveraging Pools to Turbocharge your Apps

Turbocharge your CPU Intensive Apps with MultiProcessing

In this video I show you how to easily use Python multiprocessing capabilities
to seriously boost the execution speed of your *CPU-bound* workloads.

By default, Python is limited to a single thread and a single core on your CPU.
Multiprocessing allows you to run functions on *multiple* cores on your machine, thereby achieving true parallelism.


#python #multiprocessing

Content
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00:00 - Introduction
03:45 - Example 1
19:19 - Example 2
28:49 - Example 3
41:44 - Conclusion


Code for this Video
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Available in GitHub blog repo: https://github.com/fbaptiste/python-blog
Direct link: http://tinyurl.com/yvbujdhp


My Python Courses
=================

Python 3 Fundamentals (introduction to Python)
https://www.udemy.com/course/python3-...

Pydantic V2: Essentials
https://www.udemy.com/course/pydantic...

Python 3 Deep Dive (Part 1 - Functional)
https://www.udemy.com/course/python-3...

Python 3 Deep Dive (Part 2 - Iteration, Generators)
https://www.udemy.com/course/python-3...

Python 3 Deep Dive (Part 3 - Hash Maps)
https://www.udemy.com/course/python-3...

Python 3 Deep Dive (Part 4 - OOP)
https://www.udemy.com/course/python-3...