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Python 'lists' are more flexible than arrays as they can contain different data types and their length can vary in size. It is often convenient to use a list where you do not know what the data ...
NumPy is one of the most common Python tools developers and data scientists use for assistance with computing at scale. It provides libraries and techniques for working with arrays and matrices ...
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