tadlan · HackerTrans

tadlan

10 年前議論

Gotcha!

tadlan

10 年前議論

Thanks. I'm not familiar with dynamic linking. What will that do?

tadlan

10 年前議論

Any specific plans for python support?

tadlan

10 年前議論

Or julia. Which is 1000th better than js

tadlan

10 年前議論

It will eventually, iirc

tadlan

10 年前議論

Question please: Even though there is stated desire to support python etc vm, this will be hampered by the need for the client to download the large VM vs native code that can be distributed itself, correct?

tadlan

10 年前議論

Have you tried dask?

tadlan

10 年前議論

What about dynd? Iirc doesn't use iteration st all.

tadlan

10 年前議論

Woah!!! Cool

tadlan

11 年前議論

Make sure you use the devect macro or parallel accelerator if you're going to use vector iced code :)

tadlan

11 年前議論

It's not a would and gpod. Numba works like that right now, has better interoperability with python and less context switching.

Numba is I easily installed on all systems through conda package manager and is easily used with just a function decorator

Seems you are grasping at straws here.

tadlan

11 年前議論

Actually, Numba array allocation in nopython mode is allowed now.

What other numerical features are missing?

tadlan

11 年前議論

Numba obviate these issues

tadlan

11 年前議論

What would one need to use c or c++ to write a julia package? It's as fast as native code so no need to use multiple languages.

tadlan

11 年前議論

Numba would still be faster. It would fuse away any intermediates in the code and remove any Overhead to the compiled code.

also have the option of devecting to loops.

both of which are generally faster than vectorized jumpy code.

tadlan

11 年前議論

Numbs compiles entire functions on and allows array expressions with allocation and loop fusion. I don't see the problem

tadlan

11 年前議論

Use numba to compile python loops or array expressions to fast llvm, and problem solved. I'm sticking with python.

tadlan

11 年前議論

That's just the data structure. Fitting models would be much tougher.

tadlan

11 年前議論

Will julia ever be popular for general computing and Web stuff? It's s till fast for non scientific use cases, has multi threading (in master) and is getting go like channels.

tadlan

11 年前議論

Julia!!!!! The answer to all these problems, both for general and science programming.

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