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Working with plant phenology data and fitting a nonlinear model using least squares in R
out of 5 stars
21 Dec 2018 | Contributor(s): Madeleine Bonsma-Fisher, Ahmed Hasan | doi:10.25334/Q4Q73D
A participatory live-coding lesson on working with NEON phenology data and fitting a sine-wave model to
determine when different species get and lose their leaves.
Working with spreadsheet-style data in Python with pandas and seaborn
20 Dec 2018 | Contributor(s): Madeleine Bonsma-Fisher | doi:10.25334/Q4PF1D
This 4-hour participatory live-coding workshop takes learners through the basics of programming in Python via the Jupyter Lab interface and culminates with exploration and visualization of real-world bicycle count data from the City of Toronto.
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