7 Python Libraries to Scale Data Processing to Gigabytes and Beyond
KDnuggets outlines seven Python tools—PySpark, Dask, Polars, Vaex, Modin, Ray, and Snowpark—that let data engineers handle datasets beyond single-machine memory, run distributed jobs, and build production pipelines. Each library’s strengths, such as Spark’s cluster engine, Dask’s pandas-like scaling, or Polars’ Rust‑backed speed, are summarized with resource links.