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__':
!jupyternbconvert--tomarkdownreadme.ipynb