#Jupyter notebook shortcuts install#
#Jupyter notebook shortcuts code#
#Jupyter notebook shortcuts series#
#Jupyter notebook shortcuts mac#

`Ctrl` + ` Enter` : Run the current cell without moving the cursor.Įdit mode shortcuts In edit mode, the following keyboard shortcuts are available:.`Shift` + ` Enter` : Run the current cell and move the cursor to the next cell.`Ctrl` + ` Shift` + ` P`: Open the command palette.`Ctrl` + ` Shift` + ` Minus` : Split the current cell at the cursor.`Ctrl` + ` Shift` + ` -` : Split the current cell at the cursor.`Shift` + ` Arrow Up/ Arrow Down`: Select multiple cells.

#Jupyter notebook shortcuts code#

`Y`: Convert the selected cell to a code cell.`M`: Convert the selected cell to a markdown cell.`V`: Paste the copied cell below the current cell.`B`: Insert a new cell below the current cell.`A`: Insert a new cell above the current cell.` Arrow Up/ Arrow Down` : Navigate between cells.Jupyter Notebook Command Mode ShortcutsĬommand mode shortcuts In command mode, the following keyboard shortcuts are available:

#Jupyter notebook shortcuts mac#

Complete list of Jupyter Notebook shortcuts for Windows, Mac and Linux users. To delete a cell, use the keyboard shortcut D twice. You can navigate between cells using the arrow keys, and you can also insert new cells using the keyboard shortcuts A (above the current cell) and B (below the current cell). These cells can contain code, markdown, or raw text.

#Jupyter notebook shortcuts series#

The notebook’s interface is made up of a series of cells. You can switch between these two modes by pressing Enter and Esc, respectively. Edit mode, on the other hand, allows you to edit the contents of a cell. Command mode is activated by default when you open a new notebook, and it allows you to navigate the notebook using the keyboard. Jupyter Notebook has two main keyboard input modes: ` command mode` and ` edit mode`. These shortcuts make it easy to move around the notebook, change cell types, and execute code with just a few keystrokes. Jupyter Notebook’s power comes not only from its wide range of features, but also from its keyboard shortcuts. Thus, I decided to post this answer, hopefully to help other people like me and to let them avoid some further search or messing up with customized JS files (which could scary someone).Jupyter Notebook is a powerful tool for data science and data analysis, and it’s also a great platform for writing and sharing documents that contain live code, equations, visualizations, and rich text elements. I know this is a rather old question, but I happened to come across it before finding out about jupyter_contrib_nbextensions (and in particular the Select CodeMirror Keymap extension).

#Jupyter notebook shortcuts install#

You can also use conda if you prefer.Īnyway, you then need to copy some JS and CSS stuff to make the extensions work within Jupyter Notebook, which you can achieve through: jupyter contrib nbextension install -userĪgain, assuming that jupyter points to the jupyter executable you are using to run your notebooks.Īt this point, you simply need to enable the extension: navigate the nbextensions_configurator (that comes as a dependency with the jupyter_contrib_nbextensions package), which you can easily do through the Jupyter Notebook dashboard (to be clear, the page you open to run your notebooks) by browsing the Nbextensions tab and check the box corresponding to Select CodeMirror Keymap.ĭone! Launching a notebook it will be sufficient to click on Edit>Keymaps>Sublime to achieve the desired behaviour. Where python points to the python executable of the installation you are using within Jupyter Notebook).

To install the extensions (or better, I would suggest: python -m pip install jupyter_contrib_nbextensions I personally use several extensions from this package and I find them very useful.Īs reported in the installation docs, you simply need to run: pip install jupyter_contrib_nbextensions The jupyter_contrib_nbextensions package contains a collection of community-contributed unofficial extensions that add functionality to the Jupyter notebook. The best way right now to achieve Sublime-like keymapping in Jupyter Notebook: Select CodeMirror Keymap from jupyter-contrib-nbextensions.