This repository contains class materials for the TA sessions accompanying the Geographic Data Science Module of the Urban Economics Course for Master Students at CEMFI.
Notes for all practice sessions are provided in both Jupyter notebook and PDF format for your convenience.
For more information on the contents of the main course and its software requirements, please visit the course website. You can download course materials from its corresponding GitHub repository.
We will cover the following topics
- Introduction to JupyterLab and Python Programming
- JupyterLab
- Set-up: Installation Recap & Docker
- Interface Tour
- Notebooks
- Python Programming Essentials
- Basic Syntax and Operations
- Data Management with
pandas
- JupyterLab
Please send any questions and/or suggestions to sophie.nottmeyer@cemfi.edu.es