Just click Overwrite so that whatever changes you make during the session remains intact for that session. Note: As a host if you receive an alert like this The group members have to refresh on their end to see those changes. You get an 8-hour session.Įach time you write a new line/block of code in your notebook press Ctrl+S (Linux/Windows) or Cmd+S (macOS) to share the updated notebook. Your terminal would show something similar toĬopy the HTTP link with ngrok.io at the end and share it with your group with the notebook password.

Open a new tab in your terminal and fire up ngrok on your port.

Fire up your Jupyter notebook and keep a note of the port.

For a secured session, set the password for your Jupyter Notebook by running.

Then run the code below, replacing your address (from the step above) instead of mine.

Copy the address mentioned after Writing default config to:.

Before firing up the ngrok or a Jupyter notebook, run.

Follow all the steps mentioned till step 3.

You already have Jupyter notebooks installed locally. You can share your local Jupyter notebooks live with a small group while hosting a session. At the least, it's a good feature to know. In this article I shall provide you an alternate free option for live code sharing, which might help you. It's the best resource built for data science EVER! Well, for now, an audio conference with live code sharing shall suffice.įor live code sharing, one solution is very obvious - Google Colab Notebooks. It has to be either shared by the teacher before the session or the teacher has to pause for extra few minutes on each code blocks.īeing a teaching assistant myself for several data science courses, I have noticed few good and enthusiastic teachers discussing on the lack of free video conferencing with live code sharing platforms.

If students want to just run few lines of code or check their doubts regarding the code shared onscreen during sessions, they have no option to copy.

So viewing code onscreen or receiving a clear audio is a still a distant dream for many.

Internet penetration is still worse for many developing countries.

During live sessions most of the teachers use one of several video conferencing platforms, coding on their local machine (or ready-to-run notebooks) and share it live. While teaching online, the teachers either prerecord the sessions or consider taking sessions live. It's one of the most useful tools for all ranks of data scientists/engineers/analysts.

There are innumerable free online resources and teachers from where or whom you can learn, but all use a common open-source software (or its clone) - Jupyter Notebooks.

During this global lockdown, it's interesting to observe an upsurge in learning python and in particular machine learning.

Hosting a jupyter notebook online