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What are use cases of using Google Colab?, I mean i understand it gels well with Tensorflow, but why will someone prefer it over Jupyter notebook?
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Jupyter is the open source project on which Colab is based. Colab allows you to use and share Jupyter notebooks with others without having to download, install, or run anything.
But when I use Google Colab to run previous preprocessing codes, it takes wayyyyy longer than doing it on localhost using Jupyter Lab. It has been 2 hours and it is still stuck in one cell. Whereas Jupyter Labs took 30 minutes to run the whole notebook file.
Benefits of Google Colab Because Python runs on a server (and not in your local browser or on your local computer) you can easily use it to interact with an online database and analyze data in situations where you need to keep the code private.
My reasons for using Colab
conda create env will clutter your directories%matplotlib inline not needed
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I am in a non-programming job, and I don't want to install everything on my work computer to get it set up for Jupyter. With Google Colab, I can just start working without having to do any installation and share my scripts with non-technical co-workers who wouldn't be able to install anything themselves.
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