If you’ve worked with tabular data in Python, you’ve almost certainly used Pandas. And if you’ve worked with data at scale, you’ve probably run into PySpark DataFrames too. They look similar on the surface — both let you filter, group, join, and transform tabular data with a DataFrame API — but...
Source: [Dev.to](https://dev.to/nusrat_gulbarga_b6d3a8abf/spark-dataframes-vs-pandas-choosing-the-right-tool-for-the-job-4gkn)