That worked; thanks!
On Tuesday, October 25, 2016 at 6:36:25 AM UTC-4, Christoph Ortner wrote:
>
> I haven't tried, but I think it should be
>
> result = j.inv(randMat)
>
>
> On Tuesday, 25 October 2016 05:05:47 UTC+1, Corbin Foucart wrote:
>>
>> How? If you don't mind my asking. It doesn't seem that documentation
>> exists... Suppose in a python script, I have:
>>
>> [python imports]
>> [pyjulia initialization]
>> j = julia.Julia()
>>
>> randMat = np.random.rand(3, 3)
>> # what should I put here to pass randMat to julia?
>> result = j.eval("inv(julia_randmat)")
>>
>> # ^^^ is this how I would move the result back to python?
>>
>>
>>
>> On Tuesday, October 18, 2016 at 7:50:03 PM UTC-4, Steven G. Johnson wrote:
>>>
>>>
>>>
>>> On Tuesday, October 18, 2016 at 4:42:51 PM UTC-4, Corbin Foucart wrote:
>>>>
>>>> 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)
>>>>
>>>
>>> pyjulia can do this.
>>>
>>
