Binders are running reproducible Jupyter notebooks that run in the cloud. These awesome projects have excellent documentation and visuals.
Note: When rendered on Github.com the links will launch in the same tab. To have the links launch in new tabs you can use nbviewer by going here:
| Project | Binder Link | Description |
|---|---|---|
| Bokeh |  |
Interactive visualization library that targets modern web browsers for presentation. |
| HoloViews | |
Designed to make data analysis and visualization seamless and simple. Annotate your data and let it visualize itself. |
| Python for Data Analysis | |
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney. |
| Pandas Cookbook | |
A cookbook is to give you some concrete examples for getting started with pandas. |
| Qgrid | |
Renders pandas DataFrames and enables users to explore the entire contents of a DataFrame using intuitive sorting and filtering controls. |
| NetworkX | |
Package for creation, manipulation, and study of the structure, dynamics, and functions of complex networks. |
| Jupyter Renderers | |
JupyterLab renderers and renderer extensions. |
| NumPy Exercises | |
Collection of numpy exercises from numpy mailing list, stack overflow, and numpy documentation. |
| IPyVolume | |
3d plotting using WebGL. |
| Open Climate Data | |
Play with some open climate data. |
if __name__ == '__main__':
!jupyter nbconvert --to markdown readme.ipynb