6.2 Modular Code Development - CodeRefinery March 2023

In this live-coding demo session we take a Python script as starting point which reads data, computes simple statistics, and generates a plot. Together we then improve this code based on suggestions from the audience to arrive at a more reusable code with reusable components. We start in the Jupyter notebook, later move to a Python script/module, introduce testing, and finally introduce and motivate a command line interface to our code.

In this demonstration we use JupyterLab, Python, Pandas, Matplotlib, pytest, and Click. It is also a great demonstration of pair programming.

https://coderefinery.github.io/modular-type-along/

02:01 Starting questions discussion
06:48 Demo begins: introduction to our task
07:50 Starting in a Jupyter notebook
11:26 Running multiple times with a loop
13:56 Splitting up into smaller functions
28:11 Separate module for reading data
35:12 Gitignore stuff
37:25 Splitting to different cells
44:24 requirement.txt for dependencies
46:24 Adding tests
1:01:54 command line interface

-----

This is part of the CodeRefinery March 2023 workshop. The videos are available to everyone, but may be most useful to the people who attended the workshop and want to review later.

Playlist: https://www.youtube.com/playlist?list=PLpLblYHCzJACsZllghoLA4JBMjkTk0eq4

Workshop webpage: https://coderefinery.github.io/2023-03-21-workshop/

CodeRefinery: https://coderefinery.org/