gt; returned from rmCol is used in the future, not the original A.
>
> Jared Crean
>
>
> On Saturday, November 5, 2016 at 5:07:45 PM UTC-4, Corbin Foucart wrote:
>>
>> The SparseMatrixCSC type is immutable, which I understand to mean that I
>> must respect the
The SparseMatrixCSC type is immutable, which I understand to mean that I
must respect the types of the attributes of SparseMatrixCSC types, as well
as not changing the attributes themselves.
The following gives a loadError (type is immutable). I am confused that I
can modify the colptr and row
Suppose that I have a local module in the current directory called
'myModule.jl':
module
x() = "hello"
end
In a Julia console, I can do the following:
> include("myModule.jl")
> myModule.x()
"hello"
I can do a whos() to check that indeed myModule is in the namespace. I am
attempting to call
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? I
v(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 direct
h the correct binary.
On Monday, October 24, 2016 at 5:38:04 PM UTC-4, Corbin Foucart wrote:
>
> I would like to use pyjulia, but I am having some issue setting it up in
> my python virtual environment. I have followed the instructions here:
> https://github.com/JuliaPy/pyjulia
&
I would like to use pyjulia, but I am having some issue setting it up in my
python virtual environment. I have followed the instructions here:
https://github.com/JuliaPy/pyjulia
I am running the following script:
import julia
j =
julia.Julia(jl_runtime_path='/share/apps/julia/julia-3c9d75391
gt;
>
> 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:
>
such a solver would be much faster in Julia as well.
On Tuesday, October 18, 2016 at 4:56:14 PM UTC-4, Cedric St-Jean wrote:
>
> Could you provide a more concrete example of what you're trying to do?
>
> On Tuesday, October 18, 2016 at 4:42:51 PM UTC-4, 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
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