15 Python Libraries Every Data Engineer Needs!

YouTube Excerpt: Python is a continually evolving ecosystem, and it can sometimes be challenging to find what's essential for data engineering—so I've selected my top 15 Python libraries! Follow me there for written content: ➡️Blog : https://mehdio.com/blog ➡️LinkedIn : https://www.linkedin.com/in/mehd-io/ ➡️X/Twitter : https://x.com/mehd_io 0:00 Intro 0:33 Requests // Data ingestion 1:15 BeautifulSoup // Data ingestion 2:03 dlt // Data ingestion 2:45 DuckDB // Data transformation 4:28 Polars // Data transformation 5:23 PySpark // Data transformation 6:17 Loguru // Developer tools 7:17 Typer // Developer tools 8:36 Fire // Developer tools 9:39 Ruff // Developer tools 10:31 Pytest // Developer tools 11:19 Python-dotenv // Developer tools 12:29 Pydantic // Data validation 13:28 Pandera // Data validation 14:38 Pyarrow // Data serialization #dataengineering #python

Python is a continually evolving ecosystem, and it can sometimes be challenging to find what's essential for data engineering—so I've selected my...

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