JuPyteR🐍 Notebook/Console Tricks🎲 & Short-Cuts🗝️

Introduction

 

As we all know, every programming IDE contains the shortcuts to make programming easy and reduce the execution timings. Jupyter Notebook also has some shortcuts and interesting facts that would be helpful for Python Programming.

 

Jupyter

 

This is made with a total of three language combinations --  Ju Julia, Pyt Python, and R is R programming language.

 

IPyhton=Pyhton 3

 

The kernel is used while we are working with Python in Jupyter Notebook.

 

 

 

Both images are for a better understanding of kernel in Jupyter Console. 

 

Here, we will discuss the Jupyter version 6.0.1 

 

Basically, there are two Keyboard Input Modes in Jupyter notebook,

 

Command Mode

 

 

Edit Mode 

 

 

Command Mode (press Esc to enable)

1. F: find and replace
2. Ctrl-Shift-F: open the command palette
3. Ctrl-Shift-P: open the command palette
4. Enter: enter edit mode
5. P: open the command palette
6. Shift-Enter: run cell, select below
7. Ctrl-Enter: run selected cells
8. Alt-Enter: run the cell and insert belowY: change the cell to code
9. M: change the cell to markdownR: change the cell to raw
10. 1: change the cell to heading 1
11. 2: change the cell to heading 2
12. 3: change the cell to heading 3
13. 4: change the cell to heading 45: change the cell to heading 5
14. 6: change the cell to heading 6
15. K: select cell above
16. Up: select cell above
17. Down: select cell belowJ: select cell below
18. Shift-K: extend selected cells above
19. Shift-Up: extend selected cells above
20. Shift-Down: extend selected cells below
21. Shift-J: extend selected cells below
22. A: insert cell above
23. B: insert cell below
24. X: cut selected cells
25. C: copy selected cells
26. Shift-V: paste cells above
27. V: paste cells below
28. Z: undo cell deletion
29. D, D: delete selected cells
30. Shift-M: merge selected cells, or current cell with cell below if only one cell is selected
31. Ctrl-S: Save and Checkpoint
32. S: Save and Checkpoint
33. L: toggle line numbers
34. O: toggle output of selected cells
35. Shift-O: toggle output scrolling of selected cells
36. H: show keyboard shortcuts
37. I, I: interrupt the kernel
38. 0,0: restart the kernel (with dialog)
39. Esc: Close the pager
40. Q: close the pager
41. Shift-L: toggles line numbers in all cells, and persist the setting
42. Shift-Space: scroll notebook up
43. Space: scroll notebook down

Edit Mode (press Enter to enable)

1. Tab: code completion or indent
2. Shift-Tab: tooltip
3. Ctrl-]: indent
4. Ctrl-[: dedent
5. Ctrl-A: select all
6. Ctrl-Z: undo
7. Ctrl-/: comment
8. Ctrl-D: delete the whole line
9. Ctrl-U: undo selection
10. Insert: toggle overwrite flag
11. Ctrl-Home: go to cell start
12. Ctrl-Up: go to cell start
13. Ctrl-End: go to cell end
14. Ctrl-Down: go to cell end
15. Ctrl-Left: go one word left
16. Ctrl-Right: go one word right
17. Ctrl-Backspace: delete word before
18. Ctrl-Delete: delete word after
19. Ctrl-Y: redo
20. Alt-U: redo selection
21. Ctrl-M: enter command mode
22. Ctrl-Shift-F: open the command palette
23. Ctrl-Shift-P: open the command palette
24. Esc: enter command mode
25. Shift-Enter: run cell, select below
26. Ctrl-Enter: run selected cells
27. Alt-Enter: run the cell and insert below
28. Ctrl-Shift-Minus: split cell at cursor
29. Ctrl-S: Save and Checkpoint
30. Down: Move cursor down
31. Up: move the cursor up

Moreover, With the help of this image user have the complete list of the shortcut commands in Jupyter Notebook,

 

 

Or You can go with H command in Command Mode.

 

To have a look at the command palette,

 

Use Ctrl + Shift + P

 

 

In this command palette, you can easily search the appropriate programming actions to apply to the code snippets.

 

There are many other features can be taken as the tricks of the Jupyter Notebook/Console,

• Plotting in Notebook
• Link to Documentation
• Display the variables
• IPython Commands: set environment, execute code, insert code from external scripts, pass variables, List variables of Global Scope, Timing, debugging
• Shell commands
• LaTeX formulas
• Multicursors Support
• Use different languages
• Use different Kernels
• Big Data Analysis
• Sharing Notebooks

Reference Link

• https://www.dataquest.io/blog/jupyter-notebook-tips-tricks-shortcuts/

Summary

 

In this article, we learned about the tricks and short-cuts of the Jupyter Console in details. Using different libraries and frameworks we will implement these features in one other way. It will give us a better knowledge of the IDE and its use for the end-user applications.