330× faster: Four different ways to speed up your code
Read OriginalThis article demonstrates four distinct practices for optimizing slow Python code: improving efficiency, using compilation, applying parallelism, and implementing better development processes. Using the example of counting letter frequencies in a text, it shows how combining these practices can lead to a massive 330x performance improvement, moving from a simple implementation to a highly optimized solution.
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