The Economics Computing Lunch is a weekly, one-hour workshop for graduate students to learn research computing methods. Each week, a student presents a software or method they have used in their research. We meet on Wednesdays from 12-1 PM in SSPB 3218.
Feel free to drop in on weeks when the topic is relevant to you. Bring a laptop to the meeting if you want to follow along. If you don’t have Python or R installed locally, you can run code online using Azure Notebooks (instructions). Code will be posted to this site before the meeting.
Contact Wyatt Clarke or Alex Parret with topic suggestions or to volunteer to present. The schedule for this quarter is:
- 27 September: Basic Python, Nikki Tavasoli
(Download Jupyter Notebook)
- 4 October: Webscraping in Python, Pat Testa and Cody Nehiba
- 11 October: Data tables in Python (Pandas), Tanner Fordham
- 18 October: Maps in ArcGIS, Wyatt Clarke
- 25 October: Webscraping with R and Java, Alex Luttman
- 1 November: Unsupervised machine learning with Python’s scikit-learn, Alex Parret
- 8 November: Supervised machine learning with Python’s scikit-learn, Alex Parret
- 15 November: Please volunteer!
- 22 November: No meeting – Thanksgiving week
- 29 November: Data visualization and slideshows with R Shiny, Michelle Mioduszewski and Chris Bates