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difference python list and numpy array

BlueMoon answered on April 5, 2022 Popularity 9/10 Helpfulness 7/10

answer difference python list and numpy array

difference python list and numpy array

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NumPy gives you an enormous range of fast and efficient ways of creating arrays and manipulating numerical data inside them. While a Python list can contain different data types within a single list, all of the elements in a NumPy array should be homogeneous. The mathematical operations that are meant to be performed on arrays would be extremely inefficient if the arrays weren’t homogeneous.

Why use NumPy?

NumPy arrays are faster and more compact than Python lists. An array consumes less memory and is convenient to use. NumPy uses much less memory to store data and it provides a mechanism of specifying the data types. This allows the code to be optimized even further.

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Contributed on Apr 05 2022

BlueMoon

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difference python list and numpy array

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