# Additional Resources

### Python and Data Science Resources

- [Jupyter tutorial](https://nbviewer.jupyter.org/github/jenfly/jupyter-quickstart/blob/master/quickstart.ipynb)
- [Python cheat sheet](https://www.pythoncheatsheet.org/#Python-Basics)
- [Kaggle courses](https://www.kaggle.com/learn/overview)
  - [Kaggle Python Basics course](https://www.kaggle.com/learn/python)
- [Dataquest courses](https://www.dataquest.io/) and [Dataquest blog](https://www.dataquest.io/blog/) 
- [Data Camp courses](https://www.datacamp.com/courses/intro-to-python-for-data-science)
- [Whirlwind Tour of Python - JakeVanderPlas](https://jakevdp.github.io/WhirlwindTourOfPython/)
- [Python Data Science Handbook - JakeVanderPlas](https://jakevdp.github.io/PythonDataScienceHandbook/)
- [Software Carpentry](https://software-carpentry.org/lessons/)
- [Data Carpentry](https://datacarpentry.org/lessons/)
- [U of T Coders Workshop](https://uoftcoders.github.io/2018-09-10-utoronto/)

### Pandas, Seaborn, and Plotly Tutorials

- [Pandas tutorial](https://pandas.pydata.org/docs/getting_started/index.html) and [cheat sheet](https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf)
- Seaborn [quick intro tutorial](https://seaborn.pydata.org/introduction.html) and [detailed tutorials](https://seaborn.pydata.org/tutorial.html)
- [Plotly Express tutorial](https://plotly.com/python/plotly-express/)


### Other Inspiration and Ideas

- PyData 101 - Jake VanderPlas [(talk)](https://www.youtube.com/watch?v=DifMYH3iuFw) [(slides)](https://speakerdeck.com/jakevdp/pydata-101)
- [The Python Visualization Landscape - Jake VanderPlas](https://www.youtube.com/watch?v=FytuB8nFHPQ)
- [Reproducible Data Analysis in Jupyter – Jake VanderPlas](http://jakevdp.github.io/blog/2017/03/03/reproducible-data-analysis-in-jupyter/)
- [Project Jupyter: From Interactive Python to Open Science - Fernando Perez](https://www.youtube.com/watch?v=xuNj5paMuow)

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