Parallel Tasks in a Pool of Threads and Processes

It allows us to run numerous tasks at the same time via threads or processes, making our programs faster and more efficient.

We can use one of two classes:
- ThreadPoolExecutor
- ProcessPoolExecutor.

The ThreadPoolExecutor is useful for I/O-bound operations such as reading files or sending network requests. ProcessPoolExecutor is more suited for CPU-intensive operations, such as mathematical computations.

Chapters:
⏩ 0:37 How to use it
⏩ 0:59 Example
⏩ 1:24 Why should we use it
⏩ 1:42 ThreadPoolExecutor - real-world example
⏩ 1:58 ProcessPoolExecutor - real-world example
⏩ 2:19 Outro

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@2MinutesPy

[fdauti_ca]

I commented before requesting a video about concurrent.futures. You're welcome

[compositeboson]

also Id like to request a video about multiprocessing and not having the annoying gıl

[passaroquetemasanaovoa]

I’m coming from JS to the Python word now; could I shallowly compare the ThreadPoolExecutor with Promises?

[compositeboson]

naah, multiprocessing is better because we dont have gıl there