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Jupyter Notebook installation and setup The easiest way to create and work with Jupyter Notebooks for Python is to set up an instance of the Anaconda distribution of Python.
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There's nothing quite like running Python code on your self-hosted Jupyter Notebook server ...
Because of the client/server architecture, it is very simple to share notebooks with other users. You can — in theory — use Jupyter for anything you could use Python for.
Do you need to distribute a heavy Python workload across multiple CPUs or a compute cluster? These seven frameworks are up to the task.
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