tadlan

Gotcha!

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

Any specific plans for python support?

Or julia. Which is 1000th better than js

It will eventually, iirc

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?

Have you tried dask?

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

Woah!!! Cool

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

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.

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

What other numerical features are missing?

Numba obviate these issues

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.

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.