5 Numpy functions you don't know you need

What is NumPy?
NumPy is the fundamental package for scientific computing in Python. It is a Python library that provides a multidimensional array object, various derived objects (such as masked arrays and matrices), and an assortment of routines for fast operations on arrays, including mathematical, logical, shape manipulation, sorting, selecting, I/O, discrete Fourier transforms, basic linear algebra, basic statistical operations, random simulation and much more.

What will we be talking about?

np.pad()
np.clip()
np.extract()
np.allclose()
np.repeat()

!pip install jovian --upgrade -q

import jovian

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

[jovian] Attempting to save notebook..
[jovian] Updating notebook "ameyalaad200/numpy-array-operations" on https://jovian.ml/
[jovian] Uploading notebook..
[jovian] Capturing environment..
[jovian] Committed successfully! https://jovian.ml/ameyalaad200/numpy-array-operations

'https://jovian.ml/ameyalaad200/numpy-array-operations'

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