a collaborator of mine is using pyjulia in a similar way - implement
reasonably fast interatomic potentials in Julia, but use all the tools
available in Python for model setup etc.
In case it helps, you can look at
https://github.com/libAtoms/JuLIP.jl/blob/master/temp/julip.py
as an example.
On Wednesday, 19 October 2016 01:48:01 UTC+1, Corbin Foucart wrote:
>
> Yes, they were. Is there documentation for pyjulia? I have not found any
> other than their Readme file...
>
> On Tuesday, October 18, 2016 at 5:11:48 PM UTC-4, cdm wrote:
>>
>> were the examples you found related to use of PyJulia ... ?
>>
>> https://github.com/JuliaPy/pyjulia
>>
>>
>>
>> On Tuesday, October 18, 2016 at 1:42:51 PM UTC-7, Corbin Foucart wrote:
>>>
>>> Suppose that I have a large Python code; I would like to use Julia to
>>> operate on the python workspace variables at certain locations in the code.
>>> What occurs to me is to either:
>>>
>>> 1) write out all python workspace data to file, read data into julia,
>>> operate, save, read back into python (seems bad)
>>> 2) Call Julia code directly from python (I don't want to perform some
>>> trivial computation as in the examples I've found, I want to operate on the
>>> lists of numpy arrays)
>>>
>>> Is there an efficient or documented way to do this?
>>>
>>
