You can use Jupyter Notebooks to share Python code and its output with third parties, to run code with live interactive feedback, or to systematically track and document the progress of your work.

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If you're using the terminal, I recommend using IPython, as it has a lot of features to make interactive use easier and it's the basis for using Python in Jupyter.

You can — in theory — use Jupyter for anything you could use Python for. In practice, it seems to get a lot of workout with people analyzing large data sets, doing machine learning, and ...

To get started on visualizing your data, all you need is the Jupyter Notebook and the BNIA API.CSV in Starger’s GitHub. The process from there is to plug in the variables, and then the code outputs a ...

If you are a Pythonista or a data scientist, you’ve probably used Jupyter. If you haven’t, it is an interesting way to work with Python by placing it in a Markdown document in a web bro… ...

Kernel selection in Jupyter Notebooks: "In the top right of the Notebook Editor and the Interactive Window, you will now be able to see the current kernel that the notebook is using along with the ...