Jupyter Notebook Shortcuts Cheat Sheet

Posted : admin On 1/29/2022

Jupyter Notebooks are great for building various computer science applications and sharing your code with others. It can contain code, text, visualization all in the same place. That’s why the last cheat sheet on this list is a Jupyter Notebook cheat sheet. This cheat sheet will get you started and comfortable with working in Jupyter Notebook.

  1. Jupyter Markdown Cheat Sheet
  2. Jupiter Notebook Shortcuts Cheat Sheet Free
  3. Hyperlink In Jupyter Notebook

Section author: Robert Nikutta <nikutta@noao.edu>

  • This Markdown cheat sheet provides a quick overview of all the Markdown syntax elements. It can’t cover every edge case, so if you need more information about any of these elements, refer to the reference guides for basic syntax and extended syntax. These are the elements outlined in John Gruber’s original design document.
  • Writing code in Jupyter Notebooks enables an interactive development experience where you can explore programming, data science, automation, and more. To download this cheat sheet, log in or enter your email address and country below.
  • Jupyter Notebook Editor Keyboard Shortcuts by jorgejuan007 - Cheatography.com Created Date: 3915Z.
  • Jupyter Notebook Keyboard Shortcuts by weidadeyue via cheatography.com/26788/cs/7602/ Command Mode (press Esc to enable) Enter enter edit mode Shift- Enter run cell, select below Ctrl-Enter run cell Alt-Enter run cell, insert below Y to code M to markdown R to raw 1 to heading 1 2,3,4,5,6 to heading 2,3,4,5,6 Up/K select cell above Down/J select cell below.
  • Basic notebook usage
  • Troubleshooting

Since October 2020 JupyterLab is the default notebook interface at Astro Data Lab. However, the classiceJupyter Notebook interface is still available if you need it, and thispage refers to that classic interface.

To switch from JupyterLab to Jupyter Notebook, click in the Menu on Help-->LaunchClassicNotebook

It will open in a separate browser tab.

A very convenient way to do data science is interactively in yourbrowser, for instance through Jupyter notebooks.

Jupyter notebooks are self-contained programs (for Data Lab they arewritten in Python), which can be loaded and run right inside yourbrowser. This is very convenient, as you can use the entire power ofData Lab and of the Python language, without giving much thought tothe installation and configuration of software.

You can recognize Python notebooks by their file name suffix.ipynb, i.e. my_first_notebook.ipynb. This file stores all theinput commands that you use in the notebook, as well as the output thatthese commands generate (for instance, tables and graphs).

Data Lab was built from the start with Python notebooks in mind, andprovides a containerized notebook server for registered users, as well as a more restrictedpublic notebook server (if youwant to try it out before signing up).

There are three ways of using Data Lab through a Jupyter notebook:

  1. Data Lab’s public notebook server
  • No user account required
  • Your work will only persist for the duration of the session. Download the notebook if you want to preserve it.
  • No virtual storage allocation
  • Access is limited to some databases
  1. Data Lab’s registered users notebook server
  • User account registrationrequired
  • Saved notebooks will persist as long as you want to keep them
  • Your account comes with a generous allocation of virtual storagespace. You can use it to store query results, upload/downloadfiles to/from, share files with collaborators, perform deeperanalysis on data, etc.
  • Access to all database holdings at Data Lab
  1. Run a notebook server on your own computer
  • You need to install the Data Lab client and interfaces on your computer

Launch any of these notebook servers (as described in the abovesection):

  1. Data Lab’s public notebook server: https://datalab.noao.edu/notebooks
  2. Data Lab’s notebook server for registered users: https://datalab.noao.edu/devbooks
  3. Launch a notebook server on your own computer: type jupyternotebook in a terminal; a browser window pops up

Data Lab’s notebook server for registered users (2nd option above)will prompt you for your registered user name and password.

If you don’t have a Data Lab account yet, you can register for oneright away.

In all three cases you should see a notebook “dashboard” that lookssimilar to this:

If you’re using the Data Lab notebook servers (public or registered),the dashboard will be pre-populated with several example notebooks,ranging from simple “getting started” notebooks, through moretechnical “how to” notebooks, to “science example notebooks” thatguide you from a science questions, through writing data queries, todata analysis and visualization.

  • The notebooks/ directory has the default set notebooks, as theywere when you first created your account.
  • The notebooks-latest/ directory is read-only, and contains thedefault set notebooks as of right now. You can get a copy of them easily.
  • The vospace/ directory is a read-only link to your virtualstorage directory.

You can either load any of the notebooks by navigating through thedirectories and clicking on its name, or create a new notebook to start with a clean slate. You can alsoorganize your notebooks into new sub-directories.

Data Lab’s Jupyter environment comes with a simple terminal emulatorbuilt-in. It is somewhat limited in the commands that it will let youexecute, but is very useful in many cases. To bring up the terminal,click in the Jupyter dashboard on the “New” button (top-right corner),then on “Terminal”:

A new browser tab will open, with the terminal and a friendly andinformative welcome message:

You can use the terminal to get the newest versions of all defaultnotebooks (which may have changed since your notebooks/ directorywas first created.

A built-in shell function getlatest does the work. To get thelatest default notebooks, simply type

This copies the content of notebooks-latest/ to a new directorynamed with the current date and time.

You can also provide an explicit target directory name:

The target directory will be created if it doesn’t existyet. Otherwise, for every file that is already present in the targetdirectory, you will be asked whether you wish to overwrite it.

Many of the notebook functions can be accessed through quick andconvenient keyboard shortcuts. These are available when a notebook isloaded and/or edited (see below). Most shortcuts are invoked bypressing the ESC key (release it after pressing), which enters thecommand mode of the notebook, followed by one or two additionalkeys, which are pressed simultaneously or in sequence (releasing theprevious key before pressing the next one), depending on the functionyou wish to invoke.

A very useful keyboard shortcut combination is ESC,h (i.e. pressthe ESC key, release it, then press the h key), which bringsup a window with all major keyboard shortcuts… how convenient!

If you want to load a notebook that is visible in the dashboard,simply click on its name. A new browser tab will open and the notebookloaded.

If your notebook file is located under one or several sub-directoriesin the dashboard, simply click your way through to it by traversingthe directories in the dashboard view.

You cannot access .ipynb files that are outside (i.e. above) theroot of the directory tree in the dashboard. You can always jumpback by clicking on the “home” icon in the dashboard view:

Upon opening a notebook file, the upper right corner of the new tabwill display status notifications, including (very briefly) a Kernelready status message.

This means that the Python kernel is ready for your input.

Jupiter notebook shortcuts cheat sheet pdf

To create a new notebook, click on the New button in the upperright corner of the dashboard, and select a Python kernel (herePython3).

A new browser tab will open with an empty notebook awaiting your input:

When you create a new notebook, it’s title will be Untitled(possibly with an auto-incrementing counter appended to it,e.g. Untitled3, etc.).

The title of a notebook also serves as the root of the notebook filename to be saved. It is a good idea to give the notebook a descriptivetitle, e.g. one that helps you recognize later what this notebook wasall about.

To change the notebook title, click on the current title (which is“Untitled”). A small window will pop up:

You can now edit the highlighted text (here Untitled), then click on the OK button to confirm your change

Note the changed title (here Pythagoras). On the next save, thefile name of this notebook will be Pythagoras.ipynb. (The standard extension is automatically forced.)

Commands and text are entered into so-called cells inside a notebook.

Each cell can contain one or more (or many!) lines of input. Thecontent of the cell will be only executed when you explicit tell it todo so (via keyboard shortcut Shift+ENTER).

In the example above we have instructed the notebook to import theData Lab authentication client, under a shortcut name ac. Once theinput was typed in the cell, a Shift+Enter (pressedsimultaneously) executed the content of the cell. The import wasperformed, and a new empty cell appeared beneath the first cell,awaiting new input.

When the execution of a cell does not return immediately, the cell number at the left changes temporarily to [*] during processing - during a long task this might be your only evidence that something is happening.

Each cell can be set to one of several input modes (e.g. code,markdown, etc.). The default is code (meaning valid Pythoncommands). In the example below we switch to markdown which isgood for formatting, headers, descriptive text, etc.

After changing the cell type to markdown we enter a large title(H1 size):

Finally, a Shift+ENTER keyboard shortcut executes this cell aswell, rendering the markdown content:

As before, a new empty cell is created right underneath the renderedone.

You can also use keyboard shortcuts to switch the cell type; e.g., tochange a cell type to markdown, press ESC,m. To change it to code,type ESC,y.

To run all cells in a notebook, one after another, starting at thetop, click on the Cell entry in the menu bar, then on Runall,as shown below:

The entire notebook will be executed.

Your notebook is automatically saved after a set period of time(typically 120 seconds). If you wish to save the file manually at anygiven time, either type ESC,s or click on the Save andCheckpoint icon (left-most icon that looks like a floppy disk).

A notebook .ipynb file also saves all output generated by thenotebook cells. This makes a notebook very portable, and you caneasily share it with others, email it to yourself, etc.

To logout from any of the Data Lab notebook servers, click on the Logout button in the upper-right corner (either from a notebook browser tab, or from the notebookdashboard tab).

The public server does not have a logout option - logout is automatic when the last open window is closed.

Sometimes you may wish to restart a kernel, i.e. restart the Pythonnotebook you are currently running.

One reason for doing so is when you have changed some external .pyfile that your notebook is importing. If you try to import that fileagain, the new changes won’t be picked up (unless you explicitlyreload that file). Another common reason to restart a runningkernel is when there is some technical hiccup with the notebook; arestart of the kernel can help resolve the issues.

Jupyter Markdown Cheat Sheet

To restart a kernel, either type ESC,0,0 (Escape,zero,zero keys),or click in the menu bar on Kernel, then on Restart:

Whether you used the mouse or the keyboard shortcut, a confirmationdialog will pop up:

Confirm your wish to indeed restart the notebook kernel by eitherclicking on the Restart button, or by hitting the ENTER key.

The kernel will be restarted, and you can re-run all relevant cells init. (You must re-run the cells, since a kernel restart forgets thecurrent state of memory variables).

If you experience technical difficulties in executing your notebook,and you have already tried to remedy them by restarting thekernel (to no effect), then the problem might beon the Data Lab notebook server side.

if you are logged in as a registered user, then you can then try to restart the notebook server. For this, click onthe ControlPanel button in the upper-right corner (either from anotebook browser tab, or from the dashboard tab):

You should see two buttons. Click on the red one saying StopMyServer:

Wait a few seconds until the red button disappears. The notebookserver has been shut down, and you can restart it my clicking on theremaining green button MyServer:

On the public server, quitting all windows has the effect of restarting the server - at the price of losing unsaved work!


It’s possible to control which content shows up in your book. For example,you may want to display a complex visualization to illustrate an idea, but don’twant the page to be cluttered with a large code cell that generated the visualization.In other cases, you may want to remove a code cell entirely.

In this case, you have two options:

  • Hiding content provides a button that lets readers reveal the content.

  • Removing content prevents it from making it into your book. Itwill be entirely gone (though still present in the source files)

There are two ways to hide content:

  • To hide Markdown, use the {toggle} directive.

  • To hide or remove code cells or their outputs, use notebook cell tags.

Jupiter Notebook Shortcuts Cheat Sheet Free

We’ll cover each alternative below.

Hide Markdown using MyST Markdown¶

There are two ways to hide Markdown content

  • you can use the {toggle} directive to hide arbitrary blocks of content

  • you can use the dropdown class with admonitions to turn them into dropdowns

Both allow you to wrap chunks of Markdown in a button that lets users showand hide the content.

The {toggle} directive¶

You can activate a toggleable behavior in Markdown with the {toggle}directive like so:

This results in:

Some hidden toggle content!

Note that if you’d like to show the toggle content by default, you canadd the :show: flag when you use {toggle}, like so:

Toggle admonition content with dropdowns¶

You can also add toggle buttons to admonition blocks, effectively making themdropdown blocks. Users will see the admonition title, but will need to clickin order to reveal the content. To do so, add the dropdown class to any admonition.For example, the code

results in:

Click the button to reveal!

Some hidden toggle content!

See Dropdown admonitions for more information on admonition dropdowns.

Hide code cell content¶

You can hide most cell elements of a page. The sections below describe howto hide each using cell tags in MyST Markdown.If you’re working with .ipynb files, see the cell tags guideon adding cell tags to notebooks in Jupyter Notebook or JupyterLab.

If an element is hidden, Jupyter Book will display a small button to the right of theold location for the hidden element. If a user clicks the button,the element will be displayed.

Hide cell inputs¶

If you add the tag hide-input to a cell, then Jupyter Book will hide the cell butdisplay the outputs.

Here’s an example of cell metadata that would trigger the “hide code” behavior:

For example, notice the cell below contains the hide-input tag:

Note how we only see the output by default. Now try clicking the buttonto the right of the empty spot above!

Hide cell outputs¶

You can also hide the outputs of a cell. For example, if you’d like to ask users tothink about what the output will look like first before viewing an answer. To do so,add the following tag to your cell:

Hide entire code cells¶

If you’d like to hide the whole code cell (both inputs and outputs) just add thistag to the cell metadata, like so:

Removing code cell content¶

In the above examples, we are only hiding parts of the cell, with the optionthat readers can reveal them if they wish. However, if you’d like to completely removethe respective parts, so that their contents do not make it into the book’s HTML, you mayuse the appropriate remove- tags, i.e. remove-input, remove-output and remove-cell.

Remove cell inputs¶

The following cell has its inputs removed with remove-input. Note that inthis case, there is no button available to show the input contents,the entire input cell is gone!

Remove cell outputs¶

Similar to hiding inputs, it is also possible to hide the outputsof a cell with remove-output:

Remove an entire code cell¶

You can also remove both the inputs and outputs of a cell, in which case itwon’t show up in your book at all. These cells remain in the notebook file itself,so they’ll show up if readers click on a JupyterHub or Binder link from a page.

To remove both the inputs and outputs of a cell, add the tag remove-cell to the tagsof the cell. Here’s an example of cell metadata that would trigger the “remove cell” behavior:

These cells will be entirely removed from each book page - remember that if you’d like tooptionally display the inputs of a cell instead, you should use the hide-input tag.

For example, there’s a cell below this text that won’t make it into the final book,because it has been removed!

Jupyter Notebook Shortcuts Cheat Sheet

Remove empty cells¶

You don’t need to do anything to remove empty cells from your pages.Jupyter Book will remove these automatically. Any cell with onlywhitespace will be removed.

For example, in the notebook for this page there are two cells above this text.Both only contain whitespace. Both are gone fromthe final output.