Learn how to create, index, slice, reshape, and perform arithmetic operations on arrays using NumPy, the most popular Python library for data science.

Arrays in Python give you a huge amount of flexibility for storing, organizing, ... That’s because an array is a data structure that uses an “index” or “key” to store each value.

Elements in NumPy arrays can be accessed by indexing. Indexing is an operation that pulls out a select set of values from an array. The index of a value in an array is that value's location within the ...

This repository contains a Jupyter Notebook demonstrating various operations on arrays using Python's built-in array module. It includes examples of creating, accessing, modifying, and iterating over ...