How To Reduce Python Script Memory Usage

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庸人自扰
庸人自扰 2021-01-30 03:00

I have a very large python script, 200K, that I would like to use as little memory as possible. It looks something like:

# a lot of data structures
r = [34, 78,         


        
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  •  闹比i
    闹比i (楼主)
    2021-01-30 03:01

    The advice on generator expressions and making use of modules is good. Premature optimization causes problems, but you should always spend a few minutes thinking about your design before sitting down to write code. Particularly if that code is meant to be reused.

    Incidentally, you mention that you have a lot of data structures defined at the top of your script, which implies that they're all loaded into memory at the start. If this is a very large dataset, consider moving specific datasets to separate files, and loading it in only as needed. (using the csv module, or numpy.loadtxt(), etc)

    Separate from using less memory, also look into ways to use memory more efficiently. For example, for large sets of numeric data, numpy arrays are a way of storing information that will provide better performance in your calculations. There is some slightly dated advice at http://wiki.python.org/moin/PythonSpeed/PerformanceTips

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