Python 1: Data Visualization in Python
Recap of Today’s Meeting
Questions to Ponder:
How do you envision yourself using python and deep learing?
In the lab?
For personal use?
Both?
What application excites you most?
How small could you make this project?
When could you work on this?
What goals will you be better prepared to achieve by learning these topics?
Before introducing deep learning we’ll ensure a basic comfort with python.
- To do this we’ll start at a high level (data visualization) then introduce low level concepts.
The presentation slides can be found here.
Materials
Today’s slides use data from Allison Horst’s palmerpenguins data package (see also Gorman KB, Williams TD, Fraser WR (2014) ).
The files for today are provided zipped together here.
When unzipped you should have
- A dataset (penguins.csv)
- A worksheet (penguin_plotly_worksheet.ipynb)
- A set of solutions (penguin_plotly.ipynb)
If you can’t open the zipped files, download these files, changing the extension of the worksheet and solutions from .txt to .ipynb.
For Next Meeting
If you have not completed the visualization exercises, do. To solidify your understanding, use data you have from a project and plot it with python!
While not required, it’s recommended that you have a learning partner. Talk with folks in your lab or email someone in a different lab if you want someone to learn with!