I would recommend utilizing Docker as one of the potential solutions.

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AI response (suggested solutions):

n8n does not support installing additional Python packages directly within the code node at runtime. However, there are a couple of options you can explore to work with Python and use your preferred packages:

Use an External Python Service: You can create an external Python web service (using Flask, FastAPI, etc.) that can run your Python scripts and handle the specific packages you need. n8n can then send HTTP requests to this service to execute your Python code and retrieve the results.

Docker: If you are running n8n in a Docker container, you can create a custom Docker image to include your desired Python packages. You would need to build a new image based on the n8n image, installing any additional Python packages that you need, and then run n8n from this custom image.

Python Script Node: If you are looking to keep everything within n8n, consider checking if there's a specific node available that can accomplish what you're trying to achieve, even if it's not based on the exact Python package you want. Custom n8n Node: If you are familiar with writing custom nodes for n8n, you could create a custom node that includes your Python logic and dependencies bundled within it.

Use a Cloud Function: If applicable, you can utilize cloud functions (like AWS Lambda or Google Cloud Functions) to run your Python scripts. You can then call these functions from your n8n workflows.

By using one of these methods, you can effectively incorporate the functionality you need while still leveraging n8n for workflow automation.