john-science/scipy_con_2019
Tutorial Sessions for SciPy Con 2019
This provides access to materials from specific tutorial sessions presented at SciPy Con 2019. It offers personal versions or forks of several tutorials, including Modern Time Series Analysis, Bayesian Data Science, RAPIDS for GPU Data Science, and testing with PyTest and Hypothesis. Researchers, data scientists, or anyone interested in advanced scientific computing and data analysis techniques would find these materials useful.
277 stars.
Use this if you missed specific SciPy Con 2019 tutorials on topics like time series analysis, Bayesian methods, GPU data science, or Python testing, and want to review the content.
Not ideal if you are looking for official, comprehensive documentation or the latest versions of these tools, as these are personal notes and forks from a specific conference in 2019.
Stars
277
Forks
252
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 06, 2026
Commits (30d)
0
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