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Getting started with Python

Python is widely used in notebooks. To execute Python code in JupyterLite, a xeus-python kernel is recommended (see JupyterLite kernels for more details). As a consequence, you will need an environment with this kernel package. You can use either the default Python environment or create your custom one.

Use the Python default environment​

  • Select the default Python environment on Environments page by clicking on the corresponding environment card
  • Click to the plug button to connect to a new project
  • Fill the form to create your new project
  • Save your project
  • Launch the project using the rocket button: it will start a JupyterLite instance
  • Create a new notebook clicking on the dedicated icon in the launcher
  • Add your code and execute it

Create a custom environment​

As explained in create a new environment section, you can create your custom environment. In the following video, you can see the workflow for adding xeus-python kernel, matplotlib and numpy packages and the real-time environment resolution when the 3 packages are added. Don't forget to save the new environment once the resolution has been processed.