适合ETL管道的最佳Python库：初学者开发者指南
原文英文，约1000词，阅读约需4分钟。发表于：。Building ETL pipelines can feel a lot like being the chosen one – you’re moving data from point A to point B, transforming it into something useful, and making sure everything works seamlessly....
构建ETL管道如同完成任务，Python提供丰富库简化流程。数据提取用SQLAlchemy、Pandas、Requests；转换用Pandas、Dask、PySpark；加载用SQLAlchemy、Psycopg2、Boto3。Apache Airflow用于任务编排，自动化数据处理，提高ETL效率。
