Great!
On Thu, Nov 16, 2017 at 3:04 PM Lewis John McGibbney
wrote:
> Fantastic Robert, thank you for the pointers.
> The documentation and graphics on ray github pages is very helpful.
> Lewis
>
> On 2017-11-16 11:20, Robert Nishihara wrote:
> > Yes definitely! You can do this through high leve
Fantastic Robert, thank you for the pointers.
The documentation and graphics on ray github pages is very helpful.
Lewis
On 2017-11-16 11:20, Robert Nishihara wrote:
> Yes definitely! You can do this through high level Python APIs, e.g.,
> something like
> https://github.com/apache/arrow/blob/ca3
Yes definitely! You can do this through high level Python APIs, e.g.,
something like
https://github.com/apache/arrow/blob/ca3acdc138b1ac27c9111b236d33593988689a20/python/pyarrow/tests/test_serialization.py#L214-L216
.
You can also share the numpy arrays using shared memory, e.g.,
https://issues.ap
Hi Folks,
Array-oriented scientific data (such as satellite remote sensing data) is
commonly encoded using NetCDF [0] and HDF [1] data formats as these formats
have been designed and developed to offer amongst other things, some/all of the
following features
* Self-Describing. A netCDF file in
