Numpile
A tiny 1000 line LLVM-based numeric specializer for scientific Python code.
You really shouldn't use this for anything serious, it's just to demonstrate how
you might build one of these things from scratch. There's a lot of untapped
potential and low hanging fruit around selective embedded JIT specialization
for array expression languages in the SciPython space.
Installing
Numpile requires numpy and llvmlite (the latter includes needed
LLVM libraries). You can either try to install them using your OS package
manager, or alternatively, using pip:
$ pip install llvmlite
$ pip install numpy
Usage
import numpy as np
from numpile import autojit
@autojit
def dot(a, b):
c = 0
n = a.shape[0]
for i in range(n):
c += a[i] * b[i]
return c
a = np.arange(100, 200, dtype='int32')
b = np.arange(300, 400, dtype='int32')
result = dot(a, b)
print(result)
License
Released under the MIT License.
Copyright (c) 2015, Stephen Diehl