What are the differences between NumPy arrays and Python lists?

The question is about NumPy

Answer:

NumPy arrays are fixed-type, homogeneous data structures that are optimized for numerical computations, while Python lists are dynamic, heterogeneous, and more flexible but slower. NumPy arrays support vectorized operations, enabling faster computations, whereas Python lists require explicit looping. Additionally, NumPy arrays use less memory and offer better tools for handling multi-dimensional data.

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