On Tue, Mar 13, 2012 at 5:18 PM, Travis Oliphant <tra...@continuum.io> wrote: > Cython and Numba certainly overlap. However, Cython requires: > > 1) learning another language
So is the goal for numba to actually handle arbitrary Python code with correct semantics, i.e., it's actually a compiled implementation of Python-the-language? (I feel like most of where Cython-the-language differs from Python-the-language is that Cython adds extensions for stuff where getting speed out of Python-the-language would just be too hard. Dynamic type inference for numpy arrays is definitely a good start, but you can't even, say, promote a Python integer to a C integer without changing semantics...) > 2) creating an extension module --- loading bit-code files and > dynamically executing (even on a different machine from the one that > initially created them) can be a powerful alternative for run-time > compilation and distribution of code. Totally agreed on this point, the workflow for Cython could definitely be smoother. -- Nathaniel _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
