Six NumPy Functions

Here are the six NumPy Functions that I thought were good and are to be known by everyone.

numpy.swapaxes : This method interchanges two axis of an array.
numpy.ndarray.item : Converts an array of size 1 to its scalar equivalent.
numpy.char.capitalize : When given string array, it returns a string array with the first letter of each element capitalized.
numpy.dot : computes the dot product of 2 elements.
numpy.bitwise_and : computes the bitwise and of the given two elements.
numpy.ndarray.fill : completely fills an array with a given scalar value.

!pip install jovian --upgrade -q

import jovian

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

[jovian] Attempting to save notebook..
[jovian] Updating notebook "apr2000cbe/numpy-array-operations" on https://jovian.ml/
[jovian] Uploading notebook..
[jovian] Capturing environment..
[jovian] Committed successfully! https://jovian.ml/apr2000cbe/numpy-array-operations

'https://jovian.ml/apr2000cbe/numpy-array-operations'

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