Python comes packaged with a number of standard libraries (e.g. "math"). However, many libraries that you may want to use have to be installed for usage.
Installing is quite easy due to the pip program, which makes installations of python dependencies doable in just a single line of code. pip is a package installer for python.
Importing libraries
To use the `numpy` library we need to first install it on our machine.
import numpy as np
a = np.array(42)
b = np.array([1, 2, 3, 4, 5])
c = np.array([[1, 2, 3], [4, 5, 6]])
d = np.array([[[1, 2, 3], [4, 5, 6]], [[1, 2, 3], [4, 5, 6]]])
print(a.ndim)
print(b.ndim)
print(c.ndim)
print(d.ndim)
$ pip3 install numpy
Virtual Environments
A virtual environment is a tool that helps to keep dependencies required by different projects separate by creating isolated python virtual environments for them.
