Getting started with Python

Python is the most popular language for Jupyter notebooks. To run Python code in JupyterLite, we recommend using the xeus-python kernel. This requires an environment with the kernel package installed.

You have two options:

1. Use the default Python environment
2. Create a custom Python environment

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Using the Default Python Environment

Follow these steps to get started quickly:

1. Select the environment:

   • Navigate to the Environments page
   • Click on the default Python environment card

2. Create your project:

   • Click the plug button to connect
   • Complete the project creation form
   • Save your project configuration

3. Launch and use your notebook:
   • Start your JupyterLite instance by clicking the rocket button
   • Create a new notebook from the launcher
   • Write and execute your Python code

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Creating a Custom Python Environment

For more control over your environment:

1. Create a new environment (see our Create a New Environment guide)

2. Add the required packages:

   • xeus-python kernel (required for Python execution)
   • Additional packages like matplotlib and numpy

3. Watch the environment resolution process in real-time

4. Important: Save your new environment after package resolution completes

The video demonstrates the complete workflow for:

• Adding the xeus-python kernel
• Installing matplotlib and numpy packages
• Real-time environment resolution