We are providing Jupyter Notebook examples for developing algorithmic trading strategies in Python. Notebooks are for both educational and professional purposes. MyBinder is working for us wonderfully, allow anyone to click a documentation page open, tune the code and run it themselves. The main benefit of Binder for us is having Python environment set up automated - installing packages and some git master dependencies that might be cumbersome for a newcomers on a command line. For us, especially Google Colab’s limitation of having too old Python version is a showstopper on their side.
As a next step, we would like to make it possible for users to save their work after opening a template notebook and editing it. As far as I understand, Binder environments, including notebooks, cannot be saved - though this was no clear from the documentation.
We can instruct people to Download notebooks from Binder instances.
- But what is the lowest friction way to get the Binder environment to run in a professional set up, so that users can save and edit their work on a cloud without it being lost?
- What kind of commercial workflows we could have so that we could still utilise Binder’s easiness, but still make users to be able register and save their work in cloud?
- Google Colab offers save to Google Drive - are there any similar workflows for Binder?