Julia motivation: why weren’t Numpy, Scipy, Numba, good enough?
I recently gave a Why Julia? talk to a roomful of computational fluid dynamicists and astrophysicists. (http://online.kitp.ucsb.edu/online/transturb17/gibson/, Kavli Institute, UCSB 2017-02-02). I got two main skeptical responses. One Python expert in … Read more
After a lengthy design process and preliminary foundations in Julia 0.5, Julia 0.6 includes new facilities for writing code in the “vectorized” style (familiar from Matlab, Numpy, R, etcetera) while avoiding the overhead that this style of programming...Read more »