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A guide to analyzing Python performance

  • adw0rd

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    Spritz 26 июля 2012 г. 22:45

    While it’s not always the case that every Python program you write will require a rigorous performance analysis, it is reassuring to know that there are a wide variety of tools in Python’s ecosystem that one can turn to when the time arises.

    Analyzing a program’s performance boils down to answering 4 basic questions:

    • How fast is it running?

    • Where are the speed bottlenecks?

    • How much memory is it using?

    • Where is memory leaking?

    Below, we’ll dive into the details of answering these questions using some awesome tools.

    https://smappi.org/ - платформа по созданию API на все случаи жизни

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