tanlermin

Ugh.

But in julia, its written in julia. There are even julia native tensor and matrix ops.

Use python's bokeh: http://bokeh.pydata.org/en/latest/

You can create interactive plots and webapps without writing javascript.

This is really cool..hope to see it succeed :)

Actually, I think support for nuitka would be amazing.

Its already 2x faster than cpython on pystone, but its even more promising to compile everything into a binary blob for easy distribution.

http://nuitka.net/

Uh, no they are not. They lazy- scale pandas to on disk and distributed files.

http://dask.pydata.org/en/latest/dataframe.html

"Dask dataframes look and feel like pandas dataframes, but operate on datasets larger than memory using multiple threads."

http://blaze.pydata.org/blog/2015/09/08/reddit-comments/

Python's Dask out of core dataframe can also do that.

Have you tried nuitka or Conda?

You think it will take that long?

my point exactly.

yes, but are these articles early sensitive indicators of things to come or just esoteric blovation?

Yes...but one that is also very fast, portable and with great generic programming.

Why can't Julia fill that role?

Let's look at Julia for example. Its currently gaining steam in numerics, machine learning other technical computing areas...I hypothesize this is compound growth.

For general computing, what would happen when it gains static compilation and can be distributed easily on Linux/Windows, Mobile and then web (with Emscripten/web assembly).

Then its as expressive if not more than python, easy to read/write and faster (unless its written poorly).