I've always considered myself to be a bit of a crybaby, triggered frequently and privately and sometimes for hardly any reason at all. I've also always considered myself to be a fairly strong person, stable and resilient and able to work through challenging situations. I found it difficult to reconcile that part of myself with my overwhelming sensitivity, and I wondered about the exact nature of the things that were capable of pushing me over the edge. Naturally, I turned to spreadsheets to help me find the answers to my curiosities.

Never let being CPU-bound be a bottleneck for your next great data exploration or scientific computing challenge! Attend this talk to beat Python's GIL not with a CPython fork, not with a PyPy STM implementation, but instead with old-fashioned distributed computation!

Это ребята, которые сильно двигают АДик в Питоне, пишут кучку FLOSS (в т.ч. conda, bokeh). Можно сравнить с Hashicorp.
Насколько я представляю, по ссылке - набор дефолтных утилит для решения кучки проблем.

Numba generates optimized machine code from pure Python code using the LLVM compiler infrastructure. With a few simple annotations, array-oriented and math-heavy Python code can be just-in-time optimized to performance similar as C, C++ and Fortran, without having to switch languages or Python interpreters.

@numba.jit
def sum2d(arr):
    M, N = arr.shape
    result = 0.0
    for i in range(M):
        for j in range(N):
            result += arr[i,j]
    return result

И даже AOT!

tl;dr current status: следут использовать setuptools и кодить distlib.