NumPy in python

NumPy stands for Numerical Python.

NumPy is a python library used for working with arrays. It also has functions for working in domain of linear algebra, fourier transform, and matrices. NumPy was created in 2005 by Travis Oliphant. It is an open source project and you can use it freely. NumPy stands for Numerical Python. In Python we have lists that serve the purpose of arrays, but they are slow to process.

NumPy aims to provide an array object that is up to 50x faster that traditional Python lists. The array object in NumPy is called ndarray, it provides a lot of supporting functions that make working with ndarray very easy. Arrays are very frequently used in data science, where speed and resources are very important.

Here are some uses of numpy in python. Now let’s see some of its uses running code in Jupyter Notebook.

Firstly, we import library.

importing numpy

Using array method to convert list to array:

array method

Using zeros method:

zeros method

Using ones method :

ones method

Using randint method:

randint method

To find max number in array:

max method

To find min number in array:

min method

Using argmax method in array:

argmax method

To find mean value in array:

mean method

Using arrange method:

arrange method

To shape array:

shape method

Hi readers! here are some uses of numpy. Don’t forget to clap if you like it.

Thank You.