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  1. Dec 2023
  2. www.bitecode.dev www.bitecode.dev
    The easy way to concurrency and parallelism with Python stdlib
    2
    1. GadjiMurad 11 Dec 2023
      Both are bad if you need to cancel tasks, collaborate a lot between tasks, deal precisely with the task lifecycle, needs a huge number of workers or want to milk out every single bit of perfs. You won’t get nowhere near Rust level of speed.
      comparing thread pools process pools python
    2. GadjiMurad 11 Dec 2023
      Process pools are good for:
      • When you don't need to share data between tasks.
      • When you are CPU bound.
      • When you don't have too many tasks to run at the same time.
      • When you need true parallelism and want to exercise your juicy cores.
      python pool executor process pools comparing
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