Parallel Tasks in a Pool of Threads and Processes
In this video, we will discuss a super interesting topic in Python - concurrent.futures (ThreadPoolExecutor and ProcessPoolExecutor).
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:
⏩ 0:00 What is concurrent.futures in Python
⏩ 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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