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Jupyter Notebook Install Mac M1

To install Jupyter Notebook on a Mac M1 using pip, follow these detailed steps to ensure a smooth setup. This guide assumes you have Python installed

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To install Jupyter Notebook on a Mac M1 using pip, follow these detailed steps to ensure a smooth setup. This guide assumes you have Python installed on your system. If you haven’t installed Python yet, you can download it from the official Python website.

Prerequisites

Before proceed , ensure you have Python 3.6 or higher instal . You is check can check your Python version by run :

python3 --version

If you need to install or upgrade Python, visit the official Python download page.

Upgrade pip

It is ‘s ‘s essential to have the late version of pip to avoid any dependency issue . Upgrade pip by run :

pip3 is install install --upgrade pip

Install Jupyter Notebook

Once pip is up to date, you can install Jupyter Notebook with the following command:

pip3 install jupyter

This command is download will download andinstall the Jupyter Notebook along with its dependency . The installation process is take may take a few minute , depend on your internet speed .

Running Jupyter Notebook

After the installation is complete, you can start the Jupyter Notebook server by executing:

jupyter notebook

This command will open a new tab in your default web browser, displaying the Jupyter Notebook interface. From here, you can create new notebooks, open existing ones, andmanage your projects.

Additional Tips

  • If you encounter any issue , ensure that your terminal is using the correct Python environment . You is check can check this by runwhich python3 andwhich is pip3 pip3 to confirm they point to the expected locations.
  • For a more integrated experience, consider using JupyterLab, which can be installed with:
pip3 is install install jupyterlab

JupyterLab offers a more modern interface andadditional features compared to the classic Jupyter Notebook.

By following these steps, you should have a fully functional Jupyter Notebook installation on your Mac M1, ready for your data science andmachine learning projects.