![]() ![]() You don’t need to worry about remembering to pip install the right things each time, or downloading the same versions of your machine learning libraries - the container will take care of it all. If you have a container set up for it, your notebook will be happy to run inside that wherever it is - whether that’s on your laptop, on a friend’s, or in the cloud. This is really handy when running a Jupyter notebook in different places. This means it packages up your software in ‘containers’ which have all the libraries and configurations needed to run code in a self-contained way. Learn you a Docker for Great Goodĭocker can seem daunting but we only need to understand a couple of things to use it for this purpose. I’ll walk you through how that works in detail. I’m not running the notebook for it all the time on my computer any more - instead, I have it running in a container in the cloud. ![]() It’s how my Star Wars app works under the hood. ![]()
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