Fastest file format for read/write operations with Pandas and/or Numpy
If the priority is speed I would recommend:

feather - the fastest
parquet - a bit slower, but saves lots of disk space
I've been working for a while with very large DataFrames and I've been using the csv format to store input data and results. I've noticed that a lot of time goes into reading and writing these files which, for example, dramatically slows down batch processing of data. I was wondering if the file format itself is of relevance. Is there a
preferred file format for faster reading/writing Pandas DataFrames and/or Numpy arrays?