lsjsj92/airflow_tutorial
python airflow tutorial and example
This project provides practical Python examples for Apache Airflow, a platform used to programmatically author, schedule, and monitor workflows. It demonstrates how to create data pipelines, set up task dependencies, integrate Python scripts, and even build a basic machine learning workflow using the Titanic dataset. Data engineers, MLOps engineers, and anyone managing complex, scheduled data processing tasks would find these examples useful.
No commits in the last 6 months.
Use this if you are a developer looking for concrete, runnable code examples to understand how to build and manage data pipelines with Apache Airflow.
Not ideal if you are looking for a high-level conceptual overview of Airflow without diving into code, or if you need advanced, production-ready pipeline solutions.
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Python
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Last pushed
Mar 23, 2022
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