From ETL workflows to real-time streaming, Python has become the go-to language for building scalable, maintainable, and high-performance data pipelines. With tools like Apache Airflow, Polars, and ...

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Overview Pandas is a highly flexible and reliable Python Library for small to medium datasets, but it struggles with speed.Polars is built in Rust to utilize al ...

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This project implements an end-to-end stock data pipeline that fetches stock data from an external API, processes and transforms it using Python, stores it in a MySQL database, exposes the data ...