How To Remove Indent In Jupyter Notebook

How To Articles

Hey there! Removing indents in Jupyter Notebook can make your code look cleaner and more readable. It’s a great way to enhance the overall aesthetics of your notebook. I’ll take you through the steps to remove indents and share some personal tips along the way.

Identifying the Issue

Before diving into the process of removing indents, it’s important to identify where the issue lies. In Jupyter Notebook, indents are often automatically added when writing code. This can sometimes result in excessive indentation, especially when working with nested loops, functions, or conditional statements. While indentation is crucial for Python, too much indenting can make the code visually cluttered.

Using Jupyter Notebook Magic

One way to address this is by using Jupyter Notebook’s built-in magic commands. By using the %reset_selective magic command, you can selectively remove named things from the namespace. This can be helpful when you want to clear specific indents or variables that might be causing the indentation.

Utilizing Code Refactoring

Another approach is to utilize code refactoring tools available in Jupyter Notebook. This involves restructuring existing code without changing its external behavior. By restructuring the code, you can eliminate unnecessary indentation and improve its overall readability. In the process, it’s important to maintain the code’s functionality while making it more concise.

Personal Tip: Consistent Formatting

Consistent formatting is key to maintaining clean code. I often use the keyboard shortcut Ctrl + A followed by Ctrl + / to quickly comment out or uncomment large blocks of code. This can help in experimenting with different indentation levels without permanently altering the original code.


I hope this guide has provided you with useful insights on removing indents in Jupyter Notebook. By utilizing the built-in magic commands, code refactoring, and paying attention to consistent formatting, you can effectively enhance the readability and aesthetics of your code. Happy coding!