https://cs231n.github.io/python-numpy-tutorial/

Python Numpy Tutorial (with Jupyter and Colab)

This tutorial was originally contributed by Justin Johnson.

We will use the Python programming language for all assignments in this course. Python is a great general-purpose programming language on its own, but with the help of a few popular libraries (numpy, scipy, matplotlib) it becomes a powerful environment for scientific computing.

We expect that many of you will have some experience with Python and numpy; for the rest of you, this section will serve as a quick crash course on both the Python programming language and its use for scientific computing. We’ll also introduce notebooks, which are a very convenient way of tinkering with Python code. Some of you may have previous knowledge in a different language, in which case we also recommend referencing: NumPy for Matlab users, Python for R users, and/or Python for SAS users.

Table of Contents

• Jupyter and Colab Notebooks

• Python

• Lists

• Dictionaries

• Sets

• Tuples

• Python versions

• Basic data types

• Containers

• Functions

• Classes

• Numpy

• Arrays

• Array indexing

• Datatypes

• Array math

• Broadcasting

• Numpy Documentation

• SciPy

• Image operations

• MATLAB files

• Distance between points

• Matplotlib

• Plotting

• Subplots

• Images