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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.
Index, don’t iterate, through NumPy arrays. Python users know by now the preferred metaphor for stepping through the elements of an object is for item in object:.
What’s more, there is a separate array type in Python. The Python array is designed to emulate the behavior of an array in C, and it’s meant chiefly to allow Python to work with C arrays.
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