In Pandas, PyArrow, fastparquet, AWS Data Wrangler, PySpark and Dask — This post outlines how to use all common Python libraries to read and write Parquet format while taking advantage of columnar storage, columnar compression and data partitioning. Used together, these three optimizations can dramatically accelerate I/O for your Python applications compared to CSV, JSON, HDF or other row-based formats. …