[Fede_V]

There was a very interesting design discussion by JMW on the julia-dev forum about nullable arrays, and column dtypes:

https://groups.google.com/forum/#!topic/julia-dev/hS1DAUciv3...

Even so - right now Pandas is miles ahead of the Julia equivalent. Pandas was the brain child of Wes McKinney - an amazing coder, who really, really cared about speed (who recently also made a lot of money selling his start up to Cloudera - good for him!). The things you can do in Pandas with multi-index selects, joining dataframes on multiple axis, etc, are outright incredible.

[eggy]

I am learning J for about a year now, and I will try out the examples in it to see how it goes. Memory-mapped files, and quick array operations. It is APL based, and J has been around since the 80s, and is open source. Wes McKinney seems to think it is a good way to go:

https://twitter.com/wesmckinn/status/341317411607293953