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---
title: "Lunch"
abstract: |
This tutorial covers fundamental Python programming concepts.
date: last-modified
format:
html: default
# Authors
authors-ipa:
- "[Author Name](https://poverty-action.org/people/author_name)"
# Contributors
contributors:
- "[Contributor Name](https://poverty-action.org/people/contributor_name)"
keywords: ["Python", "Programming", "Tutorial", "Data Science", "Jupyter"]
license: "CC BY 4.0"
---
Over lunch, reflect on and discuss the following:
- What sort of packages might you use in Python and why would you use them?
- How would data need to be formatted to be used in Pandas data frames? Would the data you have meet these requirements?
- What limitations or problems might you run into when thinking about how to apply what we've learned to your own projects or data?