profile

Learn Data Science from Data School πŸ“Š

Tuesday Tip #3: Fly through Jupyter with keyboard shortcuts πŸš€

Published about 1 year agoΒ β€’Β 2 min read

Hi Reader,

If you spend a lot of time in Jupyter Notebook, the easiest way to increase your productivity is by using the built-in keyboard shortcuts.

Unlike most applications, Jupyter's keyboard shortcuts are easy to remember since they often only require a single key.

Below, I'll cover the most useful keyboard shortcuts (including some hidden gems πŸ’Ž) so that you can speed up your workflow today!

I'm focusing on Jupyter Notebook in this email, but I've made a note of any differences for JupyterLab.


Command Mode and Edit Mode

Before we begin, it's critical that you're aware of the difference between Command Mode and Edit Mode, since different shortcuts work for each mode.

In Edit Mode, there's a blinking cursor and a green border, whereas in Command Mode, there's a gray border with a blue bar:

To change modes:

  • Esc: Switch to Command Mode
  • Enter: Switch to Edit Mode

Note: JupyterLab uses a blue border for Edit Mode.


Most important shortcuts

Here are the keyboard shortcuts you should learn first, because you'll use these the most:

Command Mode:

  • up/down arrows: Navigate up and down
  • a/b: Create a cell above (a) or below (b) the current cell
  • m/y: Change the cell type to Markdown (m) or code (y)
  • Shift+up or Shift+down: Select multiple cells
  • Shift+m: Merge cells
  • x/c/v: Cut (x), copy (c), or paste (v) cells
  • s: Save the notebook (JupyterLab: Cmd+s on Mac, Ctrl+s on Windows)
  • h: Show all keyboard shortcuts (JupyterLab: not available)

You can use dd (meaning "d" twice) to delete cells, but I just use x instead.

Edit Mode:

  • Ctrl+Shift+dash: Split the current cell at the cursor

Either Mode:

  • Cmd+Enter (Mac), Ctrl+Enter (Windows): Run the selected cell
  • Shift+Enter: Run the selected cell and move to the cell below

Power user shortcuts

These shortcuts are not as well-known, but will help you to become a true power user:

Command Mode:

p: Open the command palette. You can scroll or search through commands, then select an action and hit Enter to run it.

JupyterLab: Cmd+Shift+c (Mac), Ctrl+Shift+c (Windows)

o: Toggle between hiding and showing the output for selected code cells. This is useful when the output is taking up too much of your screen.

JupyterLab: This shortcut is not available. Instead, open the command palette and search for "Collapse Selected Outputs."

z: Undo cell deletion. You can undo multiple deletions, and each cell will go back to its original position. It works even if you have done other work since the deletions!

Edit Mode:

Cmd+/ (Mac), Ctrl+/ (Windows): Toggle between commented and uncommented code. You can apply this to multiple lines at once by first selecting those lines.

Shift+Tab: View the docstring for a function. Hit Shift+Tab three more times to open the docstring in a new pane.

JupyterLab: Hit Shift+Tab once.

Multi-cursor support: Hold down Option (Mac) or Alt (Windows), then click your mouse and drag up or down. This allows you to edit multiple lines at once.

How helpful was today’s tip?

β€‹πŸ€©β€‹πŸ™‚β€‹πŸ˜β€‹


If you enjoyed this issue, please forward it to a friend! Takes only a few seconds, and it really helps me out πŸ™

See you next Tuesday!

- Kevin

P.S. Did someone awesome forward you this email? Sign up here to receive data science tips every week!

Learn Data Science from Data School πŸ“Š

Kevin Markham

Join 25,000+ aspiring Data Scientists and receive Python & Data Science tips every Tuesday!

Read more from Learn Data Science from Data School πŸ“Š

Hi Reader, happy Tuesday! My recent tips have been rather lengthy, so I'm going to mix it up with some shorter tips (like today's). Let me know what you think! πŸ’¬ πŸ”— Link of the week A stealth attack came close to compromising the world's computers (The Economist) If you haven't heard about the recent "xz Utils backdoor", it's an absolutely fascinating/terrifying story! In short, a hacker (or team of hackers) spent years gaining the trust of an open-source project by making helpful...

14 days agoΒ β€’Β 1 min read

Hi Reader, Today's tip is drawn directly from my upcoming course, Master Machine Learning with scikit-learn. You can read the tip below or watch it as a video! If you're interested in receiving more free lessons from the course (which won't be included in Tuesday Tips), you can join the waitlist by clicking here: Yes, I want more free lessons! πŸ‘‰ Tip #43: Should you discretize continuous features for Machine Learning? Let's say that you're working on a supervised Machine Learning problem, and...

21 days agoΒ β€’Β 2 min read

Hi Reader, I'm so excited to share this week's tip with you! It has been in my head for months, but I finally put it in writing ✍️ It's longer than usual, so if you prefer, you can read it as a blog post instead: Jupyter & IPython terminology explained πŸ”— Link of the week Python Problem-Solving Bootcamp (April 1-21) Want to improve your Python skills quickly? There's no better way than solving problems, reviewing alternative solutions, and exchanging ideas with others. That's the idea behind...

about 1 month agoΒ β€’Β 3 min read
Share this post