UCI-ESS Python Tutorial Series

This was originally held on a ~weekly basis in the winter and spring of 2018, but the materials can be worked through at any pace.

We will update the repository as we have more sessions.

Contributors (alph. order):
Meg Fowler
Zack Labe
Baird Langenbrunner
Stephan Rasp
Chris Terai
Galen Yacalis

Completed

Week 1 (Baird and Stephan)
- Install Python via Anaconda
- Jupyter Notebook introduction
Week 2 (Baird)
- Python basics
- numpy/scipy primer
- pandas and csv/txt files
- Opening MATLAB and NetCDF files
- Simple plots with matplotlib
- Simple maps with cartopy
Week 3 (Chris)
- Conda environments
- Plotting and manipulating NetCDF data using UVCDAT
Week 4 (Stephan)
- xarray for gridded data sets
- Debugging Python code
Week 5 (Baird and Stephan)
- matplotlib figures (intermediate level)
- cartopy and plotting with maps
- Animations in matplotlib
Week 6 (Stephan)
- Machine learning basics
- keras neural network (applied to image classification: recognizing hand-written digits)
Week 7 (Galen)
- scikit-learn and advanced pandas
- keras neural network (applied to volcanic eruption data set)
Week 8 (Zack)
- Data visualization tips (color maps, figure design)
- Research workflow (documenting code and data)
- See Zack's ClimatePython repository for more info!
Week 9 (Meg)
- Extreme value distributions in Python
Week 10 (group discussion)
- Discussion on writing transparent/reproducible papers