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.

import numpy as np np.array ... How NumPy speeds array math in Python. A big part of NumPy’s speed comes from using machine-native datatypes, instead of Python’s object types.

In most modern languages, to import a file, you must either create an instance of the library to use or call a static method directly. Either way, you do something in code to execute anything within ...

Yes, I know you could just import the stuff you need - but this is quicker. t = arange(0,3,0.01) - this makes an array of values. ... If you want even more details about python and arrays ...