A notebook for running Julia 1.3.1 on Google Colab using the IJulia package.
When I started learning Julia few months back, I searched for an IDE or notebook to run Julia efficiently, but I struggled to get a GPU functioning on my own computer. There were no websites offering free cloud computing for Julia. I searched on Julia Discourse and Slack for weeks, and, after much trial and error, I came up with this solution.
I thought it would be good to share so that other beginners do not get similarly stuck as well.
A Google account, that's all.
A step-by-step guide that tells you how to get the environment running:
- Open the Jupyter notebook.
- You can either download it or view it directly on Google Colab.
- Run the first cell to install Julia and IJulia.
Since Google does not directly offer Julia-based computing you, have to take care:
- You need to work from the same notebook to get access to a Julia 1.3 kernel.
- You might lose connection to the host and, after re-connecting, you might lose your Julia packages that were installed. To tackle this situation, re-run the first cell and proceed with the follow up instructions in the notebook.
- If you want to create your own notebook, I suggest you use this as a base notebook to work from.
I received help from a lot of people on the Discourse and Slack. It is because of them this notebook is possible. I want to thank these communities and encourage you to participate in them.
This project is licensed under the MIT License.