Jupyter - Top Tricks and Shortcuts for Python Programming

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

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 below

9. Y: change cell to code

10. M: change the cell to markdown

11. R: change the cell to raw

12. 1: change the cell to heading 1

13. 2: change the cell to heading 2

14. 3: change the cell to heading 3

15. 4: change the cell to heading 4

16. 5: change the cell to heading 5

17. 6: change the cell to heading 6

18. K: select cell above

19. Up: select cell above

20. Down: select cell below

21. J: select cell below

22. Shift-K: extend selected cells above

23. Shift-Up: extend selected cells above

24. Shift-Down: extend selected cells below

25. Shift-J: extend selected cells below

26. A: insert cell above

27. B: insert cell below

28. X: cut selected cells

29. C: copy selected cells

30. Shift-V: paste cells above

31. V: paste cells below

32. Z: undo cell deletion

33. D, D: delete selected cells

34. Shift-M: merge selected cells, or current cell with cell below if only one cell is selected

35. Ctrl-S: Save and Checkpoint

36. S: Save and Checkpoint

37. L: toggle line numbers

38. O: toggle output of selected cells

39. Shift-O: toggle output scrolling of selected cells

40. H: show keyboard shortcuts

41. I, I: interrupt the kernel

42. 0,0: restart the kernel (with dialog)

43. Esc: Close the pager

44. Q: close the pager

45. Shift-L: toggles line numbers in all cells, and persist the setting

46. Shift-Space: scroll notebook up

47. 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 to 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

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.

I hope this tutorial will surely help and you if you liked this tutorial, please consider sharing it with others.

Thank you!

#python #jupyter #tricks #programming

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Welcome to my blog, In this article, we will learn the top 20 most useful python modules or packages and these modules every Python developer should know.

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2. Data Science
3. Machine Learning
4. AI and graphical user interfaces.

Near the end of the article, I also share my personal favorite Python module so make sure you stay tuned to see what that is also make sure to share with me in the comments down below your favorite Python module.

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Below is the implementation to convert a given number into a list of digits:

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Why Alright?

I was looking for a way to control and automate WhatsApp web with Python; I came across some very nice libraries and wrappers implementations, including:

1. pywhatkit
2. pywhatsapp
3. PyWhatsapp
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So I tried

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I then tried

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So what I did is refactoring the implementation of that tool to be more of a wrapper to easily allow people to run different scripts on top of it. Instead of just using it as a tool, I then thought of sharing the codebase with people who might struggle to do this as I did.

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