It’ll open in a new Colab tab, and you’ll see all of the new changes you just made previously on your local machine. Want to open it back up in Colab? Go to the notebook on the Github repo and click the Colab button at the top of the notebook. If changes to the notebook are made from your local machine, you can push those like normal back to Github. Just leave a comment, otherwise I can make a separate story about it. I can help you with that if you need to know how to clone it. Once the notebook is saved on Github, if you’d like to also back it up on your local machine or work on it locally, use Terminal or Github Desktop and clone it to your computer. No matter whether you are opening the file from Google Drive or from Github, you should still save it to Github same as shown before in step three in order to push your changes to the Github repository. If you prefer to just have the Colab notebook autosave, then you can just work on that Colab notebook independently by opening it up from Google Drive instead of opening it from Github with the shortcut button. Click the green “New” button under the repository section.

If you need to make a whole new repository to start with, go to Github and create a new one. If you already have a repository you want to work with, then move to step two of this process to create or open a Colab notebook. It’s not the most elegant but I have found it to be useful and it gets the job done for now, while I continue to learn more about using Colab and all of it’s connections to Github. Here is a little workflow that I’ve found useful in managing my notebooks and Github repositories. Trying to learn the small differences between Jupyter notebooks and Colab in order to keep everything flowing smoothly and all my changes synced has been challenging. Colab is a cloud-based notebook and has the needed updates to run Keras and has come in handy. To get around this, I have been trying to integrate the use of Google Colab with my workflow. The older Mac only updates to El Capitan, so it’s unable to run the latest versions of Keras in Jupyter notebooks. I have an older ’09 Macbook Pro and had trouble while trying to run the latest Keras to use for my latest Flatiron school neural network projects. A quick workflow for Google Colab, Github and Jupyter notebooks on Mac.

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