what is numpy in python with example

numpy, short for numerical python, is a powerful library for numerical operations in python. it provides support for large, multi-dimensional arrays and matrices, along with a collection of high-level mathematical functions to operate on these arrays. numpy is a fundamental package for scientific computing with python and is widely used in fields such as data science, machine learning, and scientific research.
before we start using numpy, you need to ensure it is installed. you can install it using the following command:
now, let's dive into some basic numpy concepts and examples:
to use numpy, you need to import it into your python script or jupyter notebook:
numpy provides a variety of operations that can be performed on arrays:
numpy provides a set of mathematical functions known as universal functions or ufuncs. these functions operate element-wise on arrays.
numpy allows you to check and modify the shape of an array:

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