Build a Cloud Python Data Pipeline with AI (No Install Required)
Is it possible to build a Python Data Pipeline... without installing Python? 🤯
For years, the first step in any data project was the same: pip install, virtual environments, and resolving dependency conflicts.
That era is ending.
In our latest LBSocial tutorial, we demonstrate how to build a complete end-to-end data analysis workflow entirely in the browser using GitHub Codespaces and the new Copilot Agent.
What we build in this guide:
✅ Data Collection: Scraping Tweets with the Twitter API
✅ Storage: Saving data to a cloud MongoDB cluster
✅ Analysis: Generating User Network Graphs & Sentiment Analysis
✅ Deployment: Publishing the report via GitHub Pages
The best part? No code was typed manually. We let the AI agent manage the files, libraries, and execution.
👇 Read the complete guide (and watch the video) here:
