Arrays in Python give you a huge amount of flexibility for storing, organizing, and accessing data. This is crucial, not least because of Python’s popularity for use in data science.

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

Python Arrays - Jupyter Notebook 📌 Overview This repository contains a Jupyter Notebook demonstrating various operations on arrays using Python's built-in array module. It includes examples of ...

TOML makes writing configuration files simple, straightforward, and more human-readable than many other formats, including JSON.