Have you considered Lua? You can develop web apps with Lapis [1] and do your data analysis with Torch [2].
The tradeoffs compared to Python: LuaJIT is much faster, which should ease your scaling worries, but the ecosystem is not as developed.
The tradeoffs compared to Python: LuaJIT is much faster, which should ease your scaling worries, but the ecosystem is not as developed.
If you compare LuaJIT with PyPy or Numba, the “much faster” argument will simply not be true. What’s different is that both of the above only cover a part of the language, but for specialised (e.g. numeric) application that’s often not a problem.
Source? AFAIK it does hold true. Last time I benchmarked those, LuaJIT was significantly faster, with PyPy almost being on pair with vanilla Lua, due to Python being a much more complex language and harder to optimise.
I would actually recommend against lua because of the lack of libraries for doing every day data science tasks.
I mean look at what facebook had to do to justify using lua, it had to invent the notebook for it.