alt Hacker NewsNot to mention that where heavy computation is required, Python often has libraries that are much, much faster than anything you can quickly hack together in C or Zig.
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Only if you doing something thousands of people has done before. Anything new, even very simple and you are on your own and Python is 100x slower than naive C implementation on many tasks.
Last little project I remember is writing a solver for a puzzle game my friend published. Python just doesn't work at all for such tasks.
I think you are wrong about speed of those libraries as well. In my experience naive code designed for a specific task beats highly sophisticated general code and it doesn't take a rocket scientist to get huge speed-ups over some well established fast library.
As long as you can express everything you need on the library's terms. As soon as you write a Python loop, your performance plummets.