Some Basic Numpy Array Functions

numpy.arange - Return evenly spaced values within a given interval.
numpy.reshape - Gives a new shape to an array without changing its data.
numpy.split - Split an array into multiple sub-arrays.
numpy.column_stack - Stack 1-D arrays as columns into a 2-D array.
numpy.concatenate - Join a sequence of arrays along an existing axis.

!pip install jovian --upgrade -q

import jovian

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

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'https://jovian.ml/ankush-kulashri/numpy-array-operations'

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