5 Interesting and Useful Numpy Functions

numpy.diag(v,k=0)
numpy.swapaxes(array, axis1, axis2)
numpy.dsplit(arrayy, indices_or_sections)
linalg.eig(array)
np.arange(start,stop,step)

!pip install jovian --upgrade -q

import jovian

jovian.commit(project='numpy-array-operations')

[jovian] Attempting to save notebook..
[jovian] Updating notebook "anithabhukya/numpy-array-operations" on https://jovian.ai/
[jovian] Uploading notebook..
[jovian] Capturing environment..
[jovian] Committed successfully! https://jovian.ai/anithabhukya/numpy-array-operations

'https://jovian.ai/anithabhukya/numpy-array-operations'

Let's begin by importing Numpy and listing out the functions covered in this notebook.