From plain Python to AI-assisted tools, there are multiple ways to design and deploy data pipelines depending on your role and team workflows. These quick notes cover how to choose the best authoring experience for your needs to accelerate pipeline delivery.

You’ll learn:

• How to define task- and asset-based Dags in Python
• Best practices to dynamically generate Dags from YAML
• How to write, test, and deploy Dag code in minutes with the Astro IDE

Whether you’re a seasoned data engineer or just getting started with Apache Airflow, this guide provides practical examples and best practices to help you author DAGs more efficiently and effectively.