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Thuwarakesh Murallie
Thuwarakesh Murallie

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Is Your Python For-loop Slow? Use NumPy Instead

Speed is always a concern for developers — especially for data-savvy work.

As developers, the easiest way to scale up things is using a for-loop. But there are drawbacks to using them for large numerical computations.

This post compares how for-loops perform in such workloads with vectorized alternatives.

Is Your Python For-loop Slow? Use NumPy Instead

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