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Starred repositories

80 stars written in Jupyter Notebook
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Python Data Science Handbook: full text in Jupyter Notebooks

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Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

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Tutorials and information on the Julia language for MIT numerical-computation courses.

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A library for creating complex UpSet plots with ggplot2 geoms

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Data Analysis with Bootstrapped ESTimation

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Content for my Astronomy 599 Course: Intro to scientific computing in Python

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Python and OpenCV based object tracking software

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Supporting infrastructure to run scientific experiments without a scientific workflow management system.

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Course materials for Introduction to Computational Literary Analysis, taught at UC Berkeley in Summer 2018, 2019, and 2020, at Columbia University in Fall 2020, and again at UC Berkeley in Summer 2…

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Computational reproducibility using Continuous Integration to produce verifiable end-to-end runs of scientific analysis.

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Notebooks containing R code from Richard McElreath's Statistical Rethinking

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Code to reproduce analysis done in the article Computational Grounded Theory: A Methodological Framework

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Plos in Computational Biology paper related with github for researchers, code, source and document

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Python Geospatial Data Analysis Course offered at UW during winter 2020

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Essential skills for reproducible research computing

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Website for Research Computing in Earth Sciences

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