问题
I made a jupyter notebook that can read hdf5 files and use some functions to analyze the data. I would like to put this jupyter notebook on a server containing different hdf5 files and make it available for people who are working in other places. An exemple of functions would be to see the expression of some genes in a sample. Those people could open this jupyter notebook and add a list of specific genes to look at. I am looking at JupyterLab, but I can see that people can read and modify the notebook. I would like that even if they modify it, when they finish, the notebook is as it was before they opened it. Do you think it is possible to do that ? I think I could do it locally with "read-only" but I don't know how to do it on jupyterLab.
I am a newbie for things related to servers. I will really appreciate your help and suggestions.
Thanks a lot :)
回答1:
Some suggestions:
You could supply the notebook via a code sharing resource like GitHub and let them clone/copy/download use it as they see fit via their own resources. This insures they aren't changing your source notebook. And you don't have to worry about computational resources because they can run it where they prefer such as on their own cluster or at a cloud center.
Typically, I'd suggest the MyBinder project at https://mybinder.org/ for what you describe as it lets you share temporary active sessions that launch on remote servers. You set up a Github repository with notebooks and the data or a way to retrieve the data built in the notebook and when the temporary session launches, users can work through your notebook. This way they can extend and modify and run their own data and not change your source notebook. However, the resources are limiting as it is free, see here.
Examples:
- solve for sediment transport
- Resolving the measurement uncertainty paradox in ecological management
- A quick introduction to RNAseq
- bendit-binder
- blast-binder
I've seen others use Code Ocean, see an example here.
There are other national/government-funded centers that allow similar hosting of services and resources that can be shared with others. CyVerse is one that is now running in the United States and several place, such as CyVerseUK in association with the Earlham Institute, and elsewhere. They offer notebooks to be served via their VICE apps in their Discover environment. Their resource allows more computational power and storage than the free, public MyBinder service.
来源：https://stackoverflow.com/questions/60659770/sharing-a-jupyter-notebook-on-a-server