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JupyterLite Oceanographic and River Analysis Lessons

✨ An introduction to geophysical data analysis in Python ✨

Lesson 1

https://github.com/mackenziejewell/water-analysis-python-lesson/blob/main/PythonRiverAnalysis.pdf

This lesson serves as an introduction to geophysical data analysis in Python. Download and follow a written tutorial to create your own Python Notebook in JupyterLite. Learn how to access publicly available river gage data from the US Geological Survey and use Python to open, plot, and analyze the data. Perform simple timeseries and statistical analyses of river gage height from the Taku River near Juneau, Alaska.

Lesson 2

https://mackenziejewell.github.io/water-analysis-python-lesson/lab/index.html

This lesson serves as an intermediate geophysical data analysis in Python, offering more advanced data analysis tasks than those in Lesson 1 to demonstrate the capatibilities of Python. Directly interact with a pre-coded JupyterLite tutorial to analyze oceanographic conditions in the Southeast Bering Sea after downloading buoy data from the National Data Buoy Center.

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Demonstrations of using python to open and analyze NOAA NDBC buoy and USGS river data

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