<ul data-eligibleForWebStory="false"><li>Approaches to speeding up Python code include parallelism and writing compiled extensions.</li><li>To avoid missing speed-ups, it is beneficial to employ various practices for optimization.</li><li>Practices like efficiency, compilation, parallelism, and process can be applied individually or together.</li><li>In a specific example, efficiency gave a 2.5x speed-up, compilation a 13x speed-up, and combining both led to significant improvement.</li></ul>

Python��Speed: 500�� faster: Four different ways to speed up your code

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Python���Speed: 500�� faster: Four different ways to speed up your code

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Python��Speed: 500�� faster: Four different ways to speed up your code