Numpy Functions

5 Numpy functions every data scientist should know!

Numerical Python library (Numpy) is one of the most useful tools for decision science (widely known as Data Science).

Provided below are five functionality which you must be comfortable with to derive the benefit of Python!

[Note: np is a short form used for Numpy while importing the package]

numpy.where [np.where]
numpy.choose
numpy.select
numpy.amin
numpy.take

Two side functions which always come handy while working with Panda's DataFrame:

dataframe.to_clipboard()
pd.read_clipboard()

The above functions copy the panda's dataframe on the clipboard, for easy pasting on other tools (such as textfile, excel, word etc.)

!pip install jovian --upgrade -q

import jovian

jovian.commit(project='Assignment-2-Numpy')

[jovian] Detected Colab notebook...
[jovian] Uploading colab notebook to Jovian...
[jovian] Committed successfully! https://jovian.ml/jayeshkum/assignment-2-numpy

'https://jovian.ml/jayeshkum/assignment-2-numpy'

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