Jupyter
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- Colaboratory
- Git - GitHub and GitLab
- Jupyter Homepage
- JupyterHub
- NBviewer share Jupyter Notebooks
- Python
ipyWidgets
- Notebook Widgets
- Matplotlib - generate plots, histograms, power spectra, bar charts, errorcharts, scatterplots, etc
- Plotly - graphing library makes interactive, publication-quality graphs
- The Jupyter Widget Ecosystem | M. Breddels, M. Craig, J. Grout, and M. Renou Tutorial, SciPy 2019
Notebooks come alive when interactive widgets are used. Users can visualize and control changes in the data. Learning becomes an immersive, plus fun, experience. Researchers can easily see how changing inputs to a model impacts the results.
JupyterLab
