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I’m struggeling how to efficiently use Google’s colab facility.
My normal workflow is:
This tandem between Jupyter and a traditional .py IDE helps to get code that is clean and testable. My notebooks tend to be messy, they aren’t unit-tested and might not work anymore in the future.
This doesn’t work that well with Google colab – it’s not that easy to move code to libraries and have it available in Google colab. But I would like to use the computing power that comes with colab.
What is your workflow with colab?
submitted by /u/zuuuhkrit
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