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MDAnalysis: A Python Package for the Rapid Analysis of Molecular Dynamics Simulations | SciPy 2016 |
7 |
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Visualize any Data Easily, from Notebooks to Dashboards | Scipy 2019 Tutorial | James Bednar |
6 |
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Datashader Revealing the Structure of Genuinely Big Data | SciPy 2016 | James A Bednar |
4 |
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IPython-powered Slideshow Reveal-ed; SciPy 2013Presentation |
3 |
 |
hvPlot & HoloViz- James Bednar, Jean-Luc Stevens, Philipp Rudiger, Maxime Liquet | SciPy 2022 |
2 |
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HoloViz Visualize all your data easily, from notebooks to dashboards | SciPy 2021 |
2 |
 |
Parallel and Distributed Computing in Python with Dask | SciPy 2020 | Bourbeau, McCarty, Pothina |
2 |
 |
Reproducible, One Button Workflows with the Jupyter Notebook & Scons | SciPy 2016 | Jessica Hamrick |
2 |
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Modern Time Series Analysis | SciPy 2019 Tutorial | Aileen Nielsen |
2 |
 |
IPython in Depth, SciPy2013 Tutorial, Part 2 of3 |
2 |
 |
Turn any Notebook into a Deployable Dashboard | SciPy 2019 | James Bednar |
1 |
 |
Symbolic Compution with Python using SymPy Beginner | SciPy 2016 Tutorial | Ondrej Certik, et al |
1 |
 |
DAsk me Anything About Data Analytics at Scale | SciPy 2021 |
1 |
 |
Learn Python through Data Processing in Pandas Tutorial | SciPy 2020 | Daniel Chen |
1 |
 |
Introduction to Python and Programming | SciPy 2020 | Matt Davis |
1 |
 |
High Dimensional Data Visualization with Clustergrammer2 |SciPy 2020|Nicolas Fernandez |
1 |
 |
Learn Python Through Data Processing in Pandas | SciPy 2021 |
1 |
 |
Introduction to Matplotlib | SciPy 2019 Tutorial | Hannah Aizenman, Thomas Caswell |
1 |
 |
Simulating X ray Observations with Python | SciPy 2014 | John ZuHone |
1 |
 |
Introducing Vispy's high level modules: easy, powerful visualization | EuroSciPy 2014 | Almar Klein |
1 |
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Crossing Language Barriers with Julia, SciPy,IPython | EuroSciPy 2014 | Stephen G Johnson |
1 |
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Efficient large data operations with Biggus | EuroSciPy 2014 | Patrick Peglar |
1 |
 |
Accelerating Random Forests in Scikit Learn | EuroSciPy 2014 | Gilles Louppe |
1 |
 |
SciPy 2013 Keynote: IPython: the method behind themadness |
1 |
 |
An efficient workflow for reproducible science; SciPy 2013Presentation |
1 |
 |
A Gentle Introduction To Machine Learning; SciPy 2013Presentation |
1 |
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Matplotlib: past, present and future; SciPy 2013Presentation |
1 |