• I use Google Compute Engine instances as flexible, reproducible infrastructure that scales with my data science tasks.
• Between Google Cloud and Amazon Web Services, I chose Google Cloud for its intuitive UI. SSH within the browser is very convenient.
• Related blog post with example usage: Running an IPython Notebook on Google Compute Engine from Chrome

• I use a Cloud9 micro plan and connect SSH workspaces to Google Compute Engine instances.
• For me, Cloud 9 has good documentation, and it's relatively quick to install on my Debian instances using the Cloud 9 install script.
• I prefer a cloud-based IDE since I don't want to spend resources on my local or remote machines running or maintaining an IDE.
• As of Dec 2015, Cloud9 doesn't support debugging in Python. However, this hasn't been a problem for me since I use pdb for debugging and pytest for testing. I use the IDE mostly for code navigation, autocomplete, and managing packages with many files.
• Related blog post with example usage: Running an IPython Notebook on Google Compute Engine from Chrome

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