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Arrays in Python give you a huge amount of flexibility for storing, organizing, and accessing data. This is crucial, not least because of Python’s popularity for use in data science.
When you call the Cython function in your Python code, send the entire NumPy array object as an argument for that function call. Perform all the iteration over the object in Cython .
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 ...
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