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I'm going through this course, but using Google cloud instead of AWS. I can confirm that at least the first Jupyter notebook works well for me.

I had to adapt the aws-install.sh script, but it was easy enough. I ended up using a snapshot instead of a persistent volume, as the monthly cost when you're not running is much cheaper. So I have a script to create a new instance and then restore that snapshot. It's faster than installing the dependencies each time).

Google Cloud has a $300 free trial for new users: https://cloud.google.com/free/

(Disclosure: I work for Google, but have no involvement in Google Cloud other than being a happy user)



Any chance you can share the adapted scripts? I assume they are easy to make, but the less barriers to entry the better.


Sure:

1) Create the instance the first time: https://gist.github.com/rahimnathwani/40ed3b6f496d377e3d17de...

2) SSH into the instance and run this script (replace anaconda mirror if your instance isn't in Asia, and definitely set the password hash): https://gist.github.com/rahimnathwani/b63ebc5900b832743d9e22...

3) After you've tested the server, snapshot the disk (using the web console) and destroy the instance and the persistent disk.

4) Run this script to recreate the instance and disk from the snapshot (replace with your snapshot name): https://gist.github.com/rahimnathwani/9019df33d4ad7ec4607413...




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