How to Run & Automate Python Scripts with n8n

Welcome to the Ultimate Automation Tutorial! 🚀🐍

In this video, I'll show you how to run and automate your Python scripts using n8n – a fantastic, open-source workflow automation tool. Whether you're a beginner or a seasoned developer, this step-by-step guide will help you generate sample data, export it to CSV, and integrate it seamlessly into your automated workflows. Say goodbye to repetitive tasks and hello to streamlined productivity! 🔥

What You'll Learn 📚

Generate Sample Data with Python:
Learn how to use libraries like Pandas and Numpy to create your own dataset effortlessly.
Export Data to CSV:
Discover how to save your generated data into a CSV file with just a few lines of code.
Automate with n8n:
See how to set up n8n to run your Python scripts automatically, saving you time and effort every day.

Hands-On Demo & Code Walkthrough:
Follow along as I explain every step of the code and integration process.
Timestamps ⏰
00:00 – Introduction & Overview
01:00 – What is n8n? 🤔
02:00 – Generating Sample Data in Python 🐍
03:30 – Exporting Data to CSV 📤
05:00 – Integrating Python Scripts with n8n 🔄
07:00 – Troubleshooting & Best Practices ✅
08:00 – Conclusion & Next Steps

Code Snippet Preview 💻
python
Copy
import pandas as pd
import numpy as np

# Generate sample data
data = {
"ID": range(1, 101),
"Name": [f"Name_{i}" for i in range(1, 101)],
}

# Create a DataFrame from the sample data
df = pd.DataFrame(data)

# Export the DataFrame to a CSV file (update the path as needed)

print(f"CSV file '{csv_filename}' has been created successfully!")
This snippet demonstrates how to generate a dataset with 100 entries and export it as a CSV file. Customize it to suit your needs and integrate it into your automation workflows.

Useful Resources & Links 🔗
GitHub Repository: Link to the project/code repository (Insert your repository link here)

Why Automation? 🤖
Automation isn't just about saving time – it's about unlocking your creativity and focusing on the tasks that truly matter. With tools like n8n, you can:

Reduce Errors: Automate repetitive tasks to minimize human errors.
Boost Efficiency: Let your scripts run automatically on a schedule.
Integrate Seamlessly: Connect your Python projects with hundreds of apps and services.
Scale Up: Easily manage larger projects and workflows without extra effort.
Join the Conversation! 💬
Have questions or ideas? Drop a comment below! I love hearing from you and am here to help with any troubleshooting or to discuss automation ideas. Let's build a community of tech enthusiasts and automation pros together! 🤝✨

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[lanceradue]

do i need to setup docker to somehow access my files on my computer for this to work? i get an error as it's looking in /bin/sh for the file path, thoughts? thanks

[Grevlor]

How would you handle scripts that only work within the venv.

[neponel]

nice. love it. look forward to seeing more open source, move locally hosted and vertically integrated ai solutions.

[riquebarbalho]

Great video! Thanks for explaining the flow! I have a question though - I have a python code to do some transformations in my database (SQL is not ideal for the transformations I need) and I am struggling to pass the binary file downloaded from google sheets to the python code. Do you have any idea how to do this? Thanks a lot!!!

[cnclubmember]

Can I also use that newly created file as a input for a different node? I mean in a sequence such that I can use the output of one script into input of another?

[alirezajalaliyazdi]

I'm a beginner in programming so can you kindly explain how it would handle the packages that I have called in my Python code (and installed in the environment). Like I have an ifcopenshell activated in my python doing some stuff and structuring the data in its own schema, but I want to run it through the data manipulation of n8n using AI agents. This will make my life much easier since I'm receiving and extracting the data required to create the IFC files in Python, using an n8n workflow.