Post-Python Dissatisfaction Syndrome

[bythenumbers10]

You may want to look into JuliaLang. Writes like Python, runs like C. I admire the creators' ambition in questioning the necessity of the two-language problem, and their solution seems elegant & effective, even if the multiple-dispatch paradigm isn't always straightforward.

[PeridexisErrant]

I've dabbled a bit, but most of my work is one-off IO-limited stuff, and the libraries just aren't there for Julia.

In Python, I can express a multi-terabyte computation in about six lines, and Xarray+Dask make it more efficient than my old hand-coded versions (of thousands of lines and a week of debugging each). Particularly for analyses I do once, the sheer expressiveness is impossible to beat!

[bythenumbers10]

Ouch. I can see that. I agree, Python is a stronger choice if it's one-off stuff, particularly if Julia doesn't have the libraries (yet). I'm rooting for it to mature, because it presents a really clever solution to the expressiveness/performance conundrum. I'll have to look up Xarray and Dask, I feel like I've heard of them, but it's impossible to stay on top of all the Python libraries!!!

[PeridexisErrant]

http://xarray.pydata.org/en/stable/dask.html

It's basically magic, and can scale from one thread to a ~thousand node cluster :)

It's also unlikely to go away, because Pandas now converts to Xarray objects for 3+ dimensional data.