Well, this is surely useful for some use cases. But for reapeated analyses that 50 min loading time is a no go and there is certainly big room for improvements. For instance, using R with data.table to process ~4GB file would result in few minutes spent on loading and processing, while giving a very similar flexibility of REPL and scripting. There should a similar way to do it in python i guess...