{"id":35575,"date":"2023-08-28T10:10:19","date_gmt":"2023-08-28T17:10:19","guid":{"rendered":"https:\/\/coderpad.io\/?post_type=doc&p=35575"},"modified":"2024-08-28T13:50:53","modified_gmt":"2024-08-28T20:50:53","slug":"jupyter-notebooks","status":"publish","type":"doc","link":"https:\/\/coderpad.io\/resources\/docs\/interview\/pads\/jupyter-notebooks\/","title":{"rendered":"Jupyter Notebooks"},"content":{"rendered":"\n

The Jupyter Notebook integration for CoderPad allows you to utilize one of seven versions of this popular data science platform.<\/p>\n\n\n\n

Each notebook will pre-load with different libraries, you can find more information on the specific libraries in Jupyter’s documentation<\/a>.<\/p>\n\n\n\n

To work with Jupyter Notebooks in CoderPad, you can either open a pad, and select one of the notebook versions from the drop down…<\/p>\n\n\n

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Or you can create a Jupyter-based question by selecting a version from the question wizard and editing the content as needed.<\/p>\n\n\n

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When you or your candidate open your Jupyter Notebook pad, you’ll be presented with a pad-embedded version that works just like it would out-of-the-box — you’ll have all the same functionality and features as the versions you’ve used outside of CoderPad Interview.<\/p>\n\n\n

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However, you’ll have the added benefit of CoderPad features — for example the ability to collaborate with a candidate over video, take your own private notes the candidate can’t see, and make use of Drawing mode. <\/p>\n\n\n\n

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\u2705 Playback is not yet available with Jupyter, but the notebook will still be available for review.<\/p>\n<\/blockquote>\n\n\n\n