Collaborating on Jupyter Notebooks

Question

I have prepared Jupyter Notebook with some findings and I shared it with other team members through GitHub to get their feedback in a written form. It used to work like this when working together on a piece of code but does not work for Jupyter Notebook. In GitHub that would mean commenting on HTML or JSON level (internal markup for .ipynb files), not on the document level. An alternative would be for team members to clone the repo and puts inline comments in the document. That's an additional effort for other team member I would like to avoid.

What is the way you collaborate, peer review and provide feedback when working on Jupyter Notebooks?

Answer 1

There are several collaboration platforms with hosted notebooks that can be shared like:

• Google Colab
• Kaggle Kernels
• Etc.

However the base idea of collaborating and sharing notebooks is actually a base function of jupyter. As you might have noticed it is a server-hosted application which by default opens a local server for you to work on.

By simply hosting that server (e.g. on AWS, your internal servers, etc.) you can collaborate on the notebooks directly and interactively.

Answer 2

Using a notebook, you can always convert it to a python script if you just go to "File > Download as > Python (.py)". Then, you can share it with your teammates and have handwritten comments on a printed form of it, regardless of how unusual this practice sounds.