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Python MultiProcessing: Leveraging Pools to Turbocharge your Apps
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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
=======
00:00 - Introduction
03:45 - Example 1
19:19 - Example 2
28:49 - Example 3
41:44 - Conclusion
Code for this Video
===================
My Python Courses
=================
- Python 3 Fundamentals (introduction to Python)
- Pydantic V2: Essentials
- Python 3 Deep Dive (Part 1 - Functional)
- Python 3 Deep Dive (Part 2 - Iteration, Generators)
- Python 3 Deep Dive (Part 3 - Hash Maps)
- Python 3 Deep Dive (Part 4 - OOP)
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
=======
00:00 - Introduction
03:45 - Example 1
19:19 - Example 2
28:49 - Example 3
41:44 - Conclusion
Code for this Video
===================
My Python Courses
=================
- Python 3 Fundamentals (introduction to Python)
- Pydantic V2: Essentials
- Python 3 Deep Dive (Part 1 - Functional)
- Python 3 Deep Dive (Part 2 - Iteration, Generators)
- Python 3 Deep Dive (Part 3 - Hash Maps)
- Python 3 Deep Dive (Part 4 - OOP)
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