LLMEval-Dataset-Parser / docs /POETRY_JUPYTER_SETUP.md
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Connecting Poetry Environment with Jupyter Notebook

This guide provides simple steps to connect a Poetry-managed environment to Jupyter Notebook.

Steps

  1. Activate the Poetry Environment

    First, navigate to your project directory and activate the Poetry shell:

    poetry shell
    
  2. Install Jupyter as a Development Dependency

    If Jupyter is not already installed, add it as a development dependency:

    poetry add --group dev jupyter
    
  3. Register the Poetry Environment as a Jupyter Kernel

    Run this command to make the Poetry environment available as a Jupyter kernel:

    python -m ipykernel install --user --name=llmdataparser-env --display-name "Python (LLMDataParser)"
    
    • --name=llmdataparser-env: Assigns a name to the kernel.
    • --display-name "Python (LLMDataParser)": Sets the display name seen in Jupyter.
  4. Start Jupyter Notebook

    Launch Jupyter Notebook from the Poetry shell:

    jupyter notebook
    
  5. Select the Poetry Kernel in Jupyter

    • Open a notebook in Jupyter.
    • Go to "Kernel" > "Change kernel" and select Python (LLMDataParser) from the list.

    This connects the notebook to your Poetry environment.


You’re now set up to use your Poetry environment within Jupyter Notebook!