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Code that runs in Julia 0.7 without warnings should be compatible with Julia 1.0. | Code that runs in Julia 0.7 without warnings should be compatible with Julia 1.0. | ||
= Using PyCall.jl to call Python from Julia = | = Using PyCall.jl to call Python from Julia = <!--T:40--> | ||
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Julia can interface with Python code using PyCall.jl. When using PyCall.jl, set the <code>PYTHON</code> environment variable to the python executable in your virtual Python environment. On our clusters, we recommend using virtual Python environments as described in our [[Python]] documentation. After activating a virtual Python environment, you can use it in PyCall.jl: | Julia can interface with Python code using PyCall.jl. When using PyCall.jl, set the <code>PYTHON</code> environment variable to the python executable in your virtual Python environment. On our clusters, we recommend using virtual Python environments as described in our [[Python]] documentation. After activating a virtual Python environment, you can use it in PyCall.jl: | ||
$ source "$HOME/myenv/bin/activate" | <!--T:42--> | ||
$ source "$HOME/myenv/bin/activate" | |||
(myenv) $ julia | (myenv) $ julia | ||
[...] | [...] | ||
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julia> Pkg.build("PyCall") | julia> Pkg.build("PyCall") | ||
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We strongly advise against the default PyCall.jl behaviour, which is to use a Miniconda distribution inside your Julia environment. Anaconda and similar distributions [[Anaconda | are not suitable on our clusters]]. | We strongly advise against the default PyCall.jl behaviour, which is to use a Miniconda distribution inside your Julia environment. Anaconda and similar distributions [[Anaconda | are not suitable on our clusters]]. | ||
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See the [https://github.com/JuliaPy/PyCall.jl PyCall.jl documentation] for details. | See the [https://github.com/JuliaPy/PyCall.jl PyCall.jl documentation] for details. | ||