How to Install Jupyter Notebook in Windows 11: A Step-by-Step Guide

Installing Jupyter Notebook in Windows 11 is a straightforward process. First, you’ll need to install Python, then use pip to install Jupyter Notebook. Once that’s done, you can launch Jupyter Notebook and start working on your projects.

How to install Jupyter Notebook in Windows 11

In this section, we’ll walk you through the steps to install Jupyter Notebook on your Windows 11 computer. By the end of these steps, you’ll have a fully functional Jupyter Notebook ready for use.

Step 1: Install Python

First, download Python from the official Python website and run the installer.

When you install Python, make sure to check the box that says “Add Python to PATH.” This step is crucial because it allows you to run Python and pip commands from the command line without additional configuration.

Step 2: Open Command Prompt

Second, open the Command Prompt by searching for it in the start menu and clicking on it.

You’ll need to run a few commands to install Jupyter Notebook. The Command Prompt is the tool where you’ll type and execute these commands.

Step 3: Install pip

Third, verify if pip is already installed by typing pip --version. If not, install it by typing python -m ensurepip --upgrade.

Pip is the package installer for Python, and it’s what you’ll use to install Jupyter Notebook. If pip is already installed, you can skip this step.

Step 4: Install Jupyter Notebook

Fourth, type pip install notebook and press Enter. This command will install Jupyter Notebook using pip.

This step may take a few minutes as it downloads and installs all the necessary files and dependencies. Once it’s done, you’ll have Jupyter Notebook installed on your system.

Step 5: Launch Jupyter Notebook

Fifth, to launch Jupyter Notebook, type jupyter notebook in the Command Prompt and press Enter.

A new tab will open in your default web browser, showing the Jupyter Notebook interface. Here, you can create and manage your notebooks.

After completing these steps, Jupyter Notebook will be installed and ready to use. You can create new notebooks, write code, and run your projects directly from your browser.

Tips for Installing Jupyter Notebook in Windows 11

  • Make sure to add Python to your PATH during installation to avoid path issues later.
  • Keep your Python and pip versions up to date to ensure compatibility with Jupyter Notebook.
  • Use a virtual environment to manage your Python packages and avoid conflicts.
  • If you face installation issues, check the official Jupyter documentation for troubleshooting tips.
  • Regularly update Jupyter Notebook using pip install --upgrade notebook to access new features and bug fixes.

Frequently Asked Questions

Do I need to install Python to use Jupyter Notebook?

Yes, Jupyter Notebook runs on Python, so you need to install Python first.

What should I do if I get a ‘pip not recognized’ error?

Ensure you have added Python to your PATH during installation and restart your Command Prompt.

Can I install Jupyter Notebook using Anaconda?

Yes, Anaconda is another way to install Jupyter Notebook. It includes Python and many useful packages.

How do I keep Jupyter Notebook updated?

Use the command pip install --upgrade notebook to update Jupyter Notebook.

What browsers are compatible with Jupyter Notebook?

Jupyter Notebook works with most modern web browsers like Chrome, Firefox, and Edge.


  1. Install Python.
  2. Open Command Prompt.
  3. Verify or install pip.
  4. Install Jupyter Notebook with pip.
  5. Launch Jupyter Notebook.


Installing Jupyter Notebook in Windows 11 is a manageable task even if you’re not a tech wizard. By following the above steps, you can get it up and running in no time. This tool is invaluable for data scientists, educators, and anyone keen on exploring data interactively. If you run into issues, don’t hesitate to refer to the official documentation or community forums.

Now that you have Jupyter Notebook installed, why not start exploring its features? You can dive into data analysis, create impressive visualizations, or even learn to code in Python. The possibilities are vast and it’s a fantastic tool to have in your tech arsenal. Happy coding!

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