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Why Python Is So Slow (And What Is Being Done About It) (thenewstack.io)
submitted 5 months ago by dominiquec@lemmy.world to c/python@programming.dev
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[-] hark@lemmy.world 3 points 5 months ago

A process pool means extra copying of data around which incurs a huge cost and this is made worse by the tendency for parallel-processing-friendly workloads often consisting of large amounts of data.

[-] sugar_in_your_tea@sh.itjust.works 2 points 5 months ago

Yup, which is why you should try to limit the copying by designing your parallel processing algorithm around it. If you can't, you would handle threading with a native library or something and scale vertical instead of horizontal. Or pick a different language if it's a huge part of your app.

But in a lot of cases, it's reasonable to stick with Python and scale horizontally. That has value if you're otherwise a Python shop.

this post was submitted on 15 Jun 2024
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