5 Interesting Numpy Functions

NumPy is one of the foundational Python module for scientific computing. It is a Python library that provides a multidimensional array object, various derived objects and a collection of routines for performing fast array operations such as mathematical, logical, shape manipulation, sorting, selecting, I/O, discrete Fourier transforms, basic linear algebra, basic statistical operations, random simulation, and much more.

Here are 5 interesting numpy functions we are going to experiment with in this notebook,

numpy.dot
numpy.any
numpy.all
numpy.sort
numpy.mean

!pip install jovian --upgrade -q

import jovian

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

[jovian] Updating notebook "abdulhyezebon/numpy-array-operations" on https://jovian.ai
[jovian] Committed successfully! https://jovian.ai/abdulhyezebon/numpy-array-operations

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

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