I will not be reachable at all over the weekend. After that, $\sim$48 hour response time until 4 April.

Except for spring break, Johnny Joyce's availability unchanged.

Project 4 will allow you to choose a topic, use arbitrary online resources, and collaborate if you want.

Project 4's focus is on documentation. Half of the grade will be how well you document:

Your project topic

How I should test your project

What sources you used

What your individual contribution was

Install

You don't need to install anything if you want to use matplotlib in Google Colab. However, it's hard to work will file I/O in Colab, which can make that approach a pain. To install locally:

MATLAB is a proprietary software package for numerical computation. It has its own language, and is popular in engineering and applied sciences. It was first released in 1984.

It quickly developed a reputation for making it easy to generate nice plots.

Matplotlib

matplotlib is a library for making 2D plots in Python. It was developed starting in 2003 by John Hunter (then a neurobiology postdoc), inspired by the plotting interface of MATLAB.

Today it is the most widely used plotting package for Python, and the Python+numpy+matplotlib "stack" is increasingly popular for applications where MATLAB was once dominant.

Ways to use matplotlib

Matplotlib can be used in several ways:

In scripts, with output to a file

In REPL, with plots opening in a GUI

In IPython notebook, where plots are shown directly in the notebook

Notebook

As with numpy, I'll do most of the intro as a series of coding demos in a notebook.

While I'll post the updated notebook after lecture, I suggest using Chapter 4 of VanderPlas as your primary reference because it has detailed explanatory text and sample code notebooks.