Description
First release of the web-book PyNotes for Environmental Scientists. This material is part of an introductory graduate level course offered to students with little or no programming experience in environmental sciences, soil science, and agronomy. The material is aimed at individuals seeking to be more productive, work faster, handle larger datasets, stimulate creative data analysis, develop code for self-teaching environmental processes, and generate reproducible science.
This version contains a collection of documented and reproducible Jupyter notebooks and datasets.
Source
Repository: https://github.com/andres-patrignani/pynotes
Documented notebooks: https://andres-patrignani.github.io/pynotes/
Integrations
- docsify for generating online documentation: https://docsify.js.org/
- binder for generating interactive notebooks: https://mybinder.org/
Datasets
Nearly 50 unique datasets of weather variables, crop yields, soil moisture, soil temperature, and cosmic-ray neutrons.
Code
A total of 120+ Jupyter notebooks exploring patterns in environmental observations. Teaching of environmental properties and processes is made through the exploration of time series, feature detection using digital images, basic statistical analyses, model optimization, and the implementation of one- and two-dimensional models with deterministic and stochastic components.
License
Licensed under Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)