How to Use the Multiline Cursor in the Jupyter Notebook

Properly using the Multiline Cursor will greatly save your time and efficiently improves your work

This post will introduce you to the multiline cursor of Jupyter notebook, and illustrates you where we can use it and how handy it is with some specific examples.

1. How to make the Multiline Cursor

One can use combination of Alt/Option key and mouse to easily make the Multiline Cursor in a Jupyter notebook.

(1) Place mouse cursor in the desired spot.

(2) Press Alt key on the keyboard or Option key on Macbook

(3) Hold the left mouse button and drag mouse over the multi-lines where you want the cursor.

2. Where it can be used

It is very handy for multiline operations, including but not limited to the following aspects:

  • Comments
  • Indentation
  • Bullets
  • Emphasized text
  • Text Alignment
  • Make Tables
  • Multiple Plots
  • Multiple String Items

Let’s take some examples to see how to use it with three concrete examples in the next section.

3. Examples

(1) Multiline comments

We want to comment multilines on our code snippet like the following example.

print("Hello")
print("hi")print(20)
print("Hello1")
#print("hi2")
#print(20)
#print("Hello1")
#print("hi2")
#print(23)

The working process looks as follows:

(2) Multiline indentation

For example, we want to indent the following lines.

Comments
Indentation
Bullets
Emphasized text
Text Alignment
Make Tables
Multiple Plots
Multiple String Items

The output is:

3. Bullets

In this example, let’s bullet multi-lines as follows:

  • Comments
  • Indentation
  • Bullets
  • Emphasized text
  • Text Alignment
  • Make Tables
  • Multiple Plots
  • Multiple String Items

The working process:

4. Video Tutorial

If you want to see more examples, you are welcome to watch the video tutorial on my YouTube channel. If this video is helpful, please subscribe to my channel to support me.

5. Online Course

If you are interested in learning Jupyter notebook in details, you are welcome to enroll one of my course  Practical Jupyter Notebook from Beginner to Expert.

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