tlmr

What about for just a smallish single machine corpus of document (1000)?

Check out continuum's blaze project for python. Provides table and array abstractions for a variety of backends, including SQL solutions.

Of modules or entire programs?

How would you compare this to using python with an easy JIT like numba?

Is this going to hamper it from being the next python for both general and data science programming? Do you think I should invest in learning julia, or continue with python?

What do you think of the CMU course vs this text book in question?

What about Julia?

Nice. Do you find yourself having to contort code to work with numbapro?

I believe that the numba compilation is planned for the coming year.

How does the upcoming and even current numba+blaze power duo not allow library designers to easily write fast code?

You mean like blaze in python?: http://blaze.pydata.org/docs/v_0_6_5/index.html

Isn't GGPy seaborn?

I don't think so. Have you checked out seaborn, blaze and bokeh?

With this work with Dynd, Numpy scikit learn etc and arbitrary python extensions ? That would be amazing :p

Will this run numpy etc?

Appreciate your input. Sounds like I am better off sticking with python for the time being.

What about beautiful soup?

Thanks. What do you think of pycall?

By interopt, I meant calling python functions like they are julia functions.