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Introduction

Explore the concept of code vectorization and how to speed up Python programs using NumPy. Understand practical examples of summing lists with NumPy's vectorized functions, and see how this approach outperforms pure Python methods in speed and adaptability.

What is Code vectorization?

Code vectorization means that the problem you’re trying to solve is inherently vectorizable and only requires a few NumPy tricks to make it faster. Of course, it does not mean it is easy or straightforward, but at least it does not necessitate totally rethinking your problem (as it will be the case in ...