NumPy: Python
NumPy is a fundamental package (Library) for scientific computing in Python.
What is NumPy?
As the name suggests NumPy is short for “Numerical Python”. As I already mentioned, NumPy is a Python library that is used for working with arrays. NumPy is an open-source project, so anyone can use it freely.
Why we use NumPy?
It is important to note that Python lists can perform all the actions that a NumPy array can but they are slow to process. This library allows users to store large amounts of data using lesser memory, perform extensive operations efficiently. Arrays are frequently used in Data Science where speed and resources are very important.
A list can store any type of values such as integers, strings, etc. Arrays, on the other hand, stores single data type values.
Why NumPy is preferred array over Lists?
In Data Science, we often perform certain operations to analyze the data. Lists are incapable to operate on the entire data together.
