Ricky Martin

Ricky Martin


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.


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.

This is image title

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

This is image title

**Edit Mode **

This is image title

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,

This is image title

Or You can go with H command in Command Mode.

To have a look to the command palette,

Use Ctrl + Shift + P

This is image title

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


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

What is GEEK

Buddha Community

Jupyter - Top Tricks and Shortcuts for Python Programming
Ray  Patel

Ray Patel


top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

1) swap two numbers.

2) Reversing a string in Python.

3) Create a single string from all the elements in list.

4) Chaining Of Comparison Operators.

5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

#python #python hacks tricks #python learning tips #python programming tricks #python tips #python tips and tricks #python tips and tricks advanced #python tips and tricks for beginners #python tips tricks and techniques #python tutorial #tips and tricks in python #tips to learn python #top 30 python tips and tricks for beginners

Ray  Patel

Ray Patel


Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map

Ray  Patel

Ray Patel


Top 20 Most Useful Python Modules or Packages

 March 25, 2021  Deepak@321  0 Comments

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.

Hello everybody and welcome back so in this article I’m going to be sharing with you 20 Python modules you need to know. Now I’ve split these python modules into four different categories to make little bit easier for us and the categories are:

  1. Web Development
  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.

#python #packages or libraries #python 20 modules #python 20 most usefull modules #python intersting modules #top 20 python libraries #top 20 python modules #top 20 python packages

Python Tips and Tricks for Competitive Programming

Python Programming language makes everything easier and straightforward. Effective use of its built-in libraries can save a lot of time and help with faster submissions while doing Competitive Programming. Below are few such useful tricks that every Pythonist should have at their fingertips:

  • **Converting a number into a List of digits using map() Function: **

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

#competitive programming #python programs #python-itertools #python-library #python-list #python-list-of-lists #python-map

August  Larson

August Larson


Automating WhatsApp Web with Alright and Python

Alright is a python wrapper that helps you automate WhatsApp web using python, giving you the capability to send messages, images, video, and files to both saved and unsaved contacts without having to rescan the QR code every time.

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
  4. WebWhatsapp-Wrapper

So I tried

pywhatkit, a well crafted to be used, but its implementations require you to open a new browser tab and scan QR code every time you send a message, no matter if it’s the same person, which was a deal-breaker for using it.

I then tried

pywhatsapp,which is based onyowsupand require you to do some registration withyowsupbefore using it of which after a bit of googling, I got scared of having my number blocked. So I went for the next option.

I then went for WebWhatsapp-Wrapper. It has some good documentation and recent commits so I had hoped it is going to work. But It didn’t for me, and after having a couple of errors, I abandoned it to look for the next alternative.

PyWhatsapp by shauryauppal, which was more of a CLI tool than a wrapper, surprisingly worked. Its approach allows you to dynamically send WhatsApp messages to unsaved contacts without rescanning QR-code every time.

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.

#python #python-programming #python-tutorials #python-programming-lists #selenium #python-dev-tips #python-developers #programming #web-monetization