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Developer Releases FastAPI Microservice to Clean CSV Data Using Pandas and Docker

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Developer Marcela Zapata Vanegas has published an open-source Python microservice that ingests messy CSV files, cleans the data using Pandas, and returns structured JSON responses. The project combines FastAPI for asynchronous API handling, Pandas for data manipulation such as resolving missing values and normalizing headers, and Docker for containerized deployment. The containerized service runs on port 8000 and can be deployed on major cloud platforms including AWS and DigitalOcean. FastAPI's built-in Swagger UI allows users to test the cleaning endpoint directly in a browser without needing external tools like Postman. The source code is publicly available on GitHub under the repository proyecto-fastapi-csv.

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Developer Releases FastAPI Microservice to Clean CSV Data Using Pandas and Docker · ShortSingh