---
layout: default
title: Tutorials
nav_order: 2
parent: Python (V2)
grand_parent: API - Query data programmatically
redirect_from:
    - /tutorials
    - /tutorials/index
---

# Tutorials

Get familiar with the Data Commons knowledge graph and APIs using these analysis examples.
You can also clone these to use as a base for your own analysis.

Example [Google Colab
notebooks](https://colab.research.google.com/notebooks/intro.ipynb) written in
Python:

-  [Analyzing Census Data with Data Commons](https://github.com/datacommonsorg/api-python/blob/master/notebooks/v2/analyzing_census_data.ipynb){: target="_blank"}

-  [Analyzing Income Distribution](https://github.com/datacommonsorg/api-python/blob/master/notebooks/v2/analyzing_income_distribution.ipynb){: target="_blank"}

-  [Predicting Obesity Prevalence in U.S. Counties](https://github.com/datacommonsorg/api-python/blob/master/notebooks/v2/analyzing_obesity_prevalence.ipynb){: target="_blank"}