# Python Resources for Earth and Natural Sciences

### Python Programming 
[Learning Data Science](https://learningds.org/intro.html)   
[Numerical Methods in Python](https://pythonnumericalmethods.studentorg.berkeley.edu/notebooks/Index.html)    
[Numerical Methods and Analysis in Python](https://lemesurierb.people.charleston.edu/introduction-to-numerical-methods-and-analysis-python/introduction.html)     

### Notebooks/Cookbook Examples for Models and Observations
[Pangeo.io](https://pangeo.io/)  
[Xarray Tutorials](https://tutorial.xarray.dev/overview/get-started.html)  
[Project Pythia](https://projectpythia.org/)  
[Project Pythia Cookbooks](https://cookbooks.projectpythia.org/)  
[xgcm Tutorials](https://xgcm.readthedocs.io/en/latest/index.html)   
[PO.DAAC Data Tutorials](https://podaac.github.io/tutorials/quarto_text/DatasetSpecificExamples.html)   
[SWOT Community Python Resources](https://github.com/SWOT-community)   
[IOOS (Integrated Ocean Observing System) Python Examples](https://ioos.github.io/ioos_code_lab/content/code_gallery/gallery.html)   

### Earth and Natural Science Python Lessons

[Earth and Environmental Science Jupyter Book](https://earth-env-data-science.github.io/intro.html)    
[Computational Tools in Climate Science](https://comptools.climatematch.io/tutorials/intro.html)    
[Geospatial Temporal Data Analysis](https://dsu.pages.geomar.de/training/geo-spatio-temporal-data-analysis/)   
[Python Climate Visuals](https://xiaoganghe.github.io/python-climate-visuals/intro.html)