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 >> Lists

• Speed: It uses fixed data types for all elements
• Uses contiguous memory

1. Basics

This repository contains notes for the basics of Numpy and other simple projects and visualizations created using it.

This section contains the basic concepts of numpy and creating plots using them.

1. Basic functions of numpy
2. Different methods of creating arrays with numpy
3. Array Traversal
4. Vectorization
5. Array Broadcasting
6. Basic and Advanced Indexing Techniques
7. Stacking Arrays
8. Splitting Arrays
9. Statistics with Numpy

Reference: Python Like You Mean It Documentation
Python Documentation

The User Guide and Reference Doc are attached here