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JALT2023 Introduction to Data Analysis with Python

Prepared by Chris Pirotto and Daniel Cook

This repository contains the files used for preparation of distributed materials.


If you want to read through the material, it's recommended to read the HTML page here.

Download the Material

You can download all of the material as a zip file directly from this website (github). At the time this was created, pressing the green <> Code button has the option to download all of the files as a zip file.

For those familiar with git and github, you can clone this repository.

Opening the Notebook

If you want to use the notebook, you must install python, jupyter notebook (or jupyter lab), and any python dependencies (pandas, wordcloud).

Read instructions from Jupyter documentation for how to open the notebook and use it.

Building the material for Distribution (macos/linux)

Requirements are python, jupyterlab, and any python dependencies.

Included is a makefile. Run make and it will generate a build directory.

See the makefile for any other targets.

Run make gh-pages to build index.html which is used for github pages.

Versions of things

The materials / build tools were used with these versions:

Python 3.11.0
jupyter-lab 3.6.1
jupyter-nbconvert 7.2.9
pandas 1.5.3       # python library

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Materials for the presentation given at JALT2023

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