Hi @mratsim,
First, you have done great job with arraymancer. Kudos!
Thanks a lot for the detailed explanation about ptr arithmetic to access buffer
elements. Particularly, casting to UncheckedArray is very useful in my case.
Other ways have many use cases too.
I am going to update my Numpy ar
Hey there, authore of Arraymancer here.
Accessing elements using ptr arithmetic:
* Usually you when you need pointer arithmetics you actually need pointer
indexing similar to:
let rawBuffer = [0, 1, 2, 3, 4, 5]
# use unsafeAddr if let variable
# or a
Thanks. Indeed, neo, arraymancer and nimtorch are feasible alternatives.
Regarding accessing elements using ptr arithmetic, is there a simpler way?
Is there a generic way for pointer casting (instead of ptr cdouble)?
there is also:
[https://github.com/mratsim/Arraymancer](https://github.com/mratsim/Arraymancer)
> Numpy in Python has an important place for computing tasks and until we have
> an equivalent (or better) package in nim, we may need to delegate some work
> to NumPy (or vice versa).
I'm not saying it is an equivalent to numpy, but I had a good experience with
using [Neo](https://github.com/u
With --d:release flag,
nim c --opt:speed --d:release --app:lib --out:nimpy_numpy.so nimpy_numpy
Run
It is now faster than NumPy.
processing time:
numpy: 0.6880900859832764
nim: 0.5004160404205322
Hi, I am new to nim but I plan to invest time to learn and use it for my
scientific computing work. Numpy in Python has an important place for computing
tasks and until we have an equivalent (or better) package in nim, we may need
to delegate some work to NumPy (or vice versa). Thus, I tried to
