'notebook versioning': How is that feature supposed to be implemented?
A use case could be as follows: a) A user clones a notebook in a Collab to do some work b) The user wants to check if a newer version of the original notebook exists. c) Finally, the user might want to replace his cloned notebok by the new one
2. 'preinstalled scientific and neuroscience libraries in a notebook container image;': What do I understand for that feature? Will the notebook be run in an virtual environment which the user can set up? That would be the best solution:
- A user can use different notebooks with different library setups, without the need to re-install all libraries all the time he/she switched the notebook - When a different user uses a notebook from the first user, everything is set up, and the different user does not need to spend time on installing things.
3. Will there be a guide or a tool that can be used to convert Collab1 notebooks to Collab2?
4. It would be really useful if some basic features regarding the jupyter integration will be ready for end of November to be shown at the CodeJam.
Question on the features:
A use case could be as follows:
a) A user clones a notebook in a Collab to do some work
b) The user wants to check if a newer version of the original notebook exists.
c) Finally, the user might want to replace his cloned notebok by the new one
2. 'preinstalled scientific and neuroscience libraries in a notebook container image;': What do I understand for that feature? Will the notebook be run in an virtual environment which the user can set up? That would be the best solution:
- A user can use different notebooks with different library setups, without the need to re-install all libraries all the time he/she switched the notebook
- When a different user uses a notebook from the first user, everything is set up, and the different user does not need to spend time on installing things.
3. Will there be a guide or a tool that can be used to convert Collab1 notebooks to Collab2?
4. It would be really useful if some basic features regarding the jupyter integration will be ready for end of November to be shown at the CodeJam.