When working with Python in Jupyter, the IPython kernel is used, which gives us some handy access to IPython features from within our Jupyter notebooks (more on that later!) The name Jupyter is an indirect acronyum of the three core languages it was designed for: JUlia, PYThon, and R and is inspired by the planet Jupiter. Project Jupyter was born out of the IPython project as the project evolved to become a notebook that could support multiple languages – hence its historical name as the IPython notebook. Now let’s dive in to our list of 28 (and counting!) Jupyter notebook tips! Jupyter is quite extensible, supports many programming languages and is easily hosted on your computer or on almost any server - you only need to have ssh or http access. Thanks to Alex for graciously letting us republish his work here.) We have expanded the post and will continue to do so over time - if you have a suggestion please let us know. (This post is based on a post that originally appeared on Alex Rogozhnikov’s blog, ‘Brilliantly Wrong’. In this post, we’ve collected some of the top Jupyter notebook tips to quickly turn you into a Jupyter power user! Jupyter notebook, formerly known as the IPython notebook, is a flexible tool that helps you create readable analyses, as you can keep code, images, comments, formulae and plots together. Hit while in edit mode to switch to command mode.Octo28 Jupyter Notebook Tips, Tricks, and Shortcuts Jupyter Notebook To split cells, click inside the cell where you want the split and hit. You can highlight a bunch of code and hit to indent it 'r' changes cell type to "Raw", which is useful as a quick way to clear lengthy output: hit 'r' then 'y' to change it back to type "Code" 'M' merges the current cell with the one below it. 'a' and 'b' create a new cell above or below the current cell 'z' undoes the last cell deletion, but currently it only remembers one deletion back.Ĭommon mistake : starting to type while in command mode. For example, hitting 'm' changes cell type to "Markdown". In command mode, there are a bunch of shortcut keys. In edit mode, obviously, you edit the code. You can tell you're in edit mode if there is a blinking cursor in the highlighted cell. You're either in edit mode or command mode. Jupyter interactive editing is somewhat patterned after the unix editor vi (if you're a nerd and you happen to know what that is).
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January 2023
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