tavert

19 ms·

151.
by tavert 11y ago
Don't know whether list comprehensions were tried. Refactoring suggestions could be considered, if they still capture the main point of the benchmark. Most of the Julia standard library is implemented in Julia.
152.
by tavert 11y ago
Stats and dataframes now has someone working full time on it. It will get appreciably better soon.
153.
by tavert 11y ago
Likely. There's some recent discussion at https://github.com/JuliaLang/julia/issues/6975#issuecomment-... regarding taking inspiration from Clojure's protocols. There are a few different Traits and
154.
by tavert 11y ago
Counterpoint - try user-defined types (classes) in Numba.
155.
by tavert 11y ago
The point of that benchmark is looping over lists or arrays. The benchmark verifies the well-known fact that straight Python is a lousy choice for those situations when you absolutely need to do this. Dropping into C extensions or some-of-t
156.
by tavert 11y ago
"Vectorizing" (interpreter-out-of-the-way vectorization, which isn't the same and doesn't necessarily give you SIMD vectorization) your code to get Matlab or NumPy to run it efficiently always seems like an unnecessary b
157.
by tavert 11y ago
The motivating factor for using Julia in a lot of cases is: what do you do when the problem you're trying to solve hasn't been exactly solved already by someone else's C extension? Can an average person (scientist, grad stude
158.
by tavert 11y ago
They've had the mupad notebook ( http://www.mathworks.com/help/symbolic/mupad.html ) ever since they replaced the backend of symbolic math toolbox from maple to mupad, around 2008 or 2009. But I don't thin
159.
by tavert 11y ago
Julia's REPL, and many editor plugins, supports tab-completion of unicode characters via their LaTeX code names, e.g. \alpha
160.
by tavert 11y ago
> It won't implicitly solve distributed computing Why not? It's out to explicitly address distributed computing - http://docs.julialang.org/en/latest/manual/parallel-computin... Julia is performa