[oubiwann]

If you're going to be handling large amounts of data, then Disco is what you'd want to use, not this.

However, if you're spending your day in an LFE REPL and want to be able to parallelize computation out to multiple Python instances, then this tool will be for you ("will be" because parallelization is in the queue: https://github.com/lfex/py/issues/38).

As things stand right now (without parallelization), this library means that Erlang, Elixir, LFE, Joxa, etc., hackers don't have to context switch out of their preferred mode into another language, but can do it from the comfort of their regular daily routine. (I know Erlang hackers who refuse to fire up a Python interpreter...)

In other words, this is very much like an IPython for the Erlang world (where the ZeroMQ messaging architecture of IPython isn't needed, since that all comes for free in Erlang).

[okeuday]

Also, CloudI (http://cloudi.org) provides supervisor functionality for Python services to help keep source code in Python fault-tolerant. There have been no problems handling large quantities of data there.