Multiple Conda Environments + PyCall.jl?

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I have been using PyCall.jl to wrap some algorithms written in Python to compare against a series of algorithms I’ve written in Julia.

I’ve started adding additional algorithms one of which is implemented ~4 years ago and is currently only available in Python 2. Instead of porting the code over to Python 3 I am calling methods from this code by using a PyCall environment built against a conda environment using Python 2: GitHub - JuliaPy/PyCall.jl: Package to call Python functions from the Julia language. Then, when I want to run other algorithms that are currently written in Python 3 I need to re-Pkg.build("PyCall") after pointing to my standard my standard Python 3 conda environment for that code.

I was wondering if there a better/more-robust solution?

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I’m also looking for a way without running Pkg.build(“PyCall”) to dynamically change the python environment during julia’s runtime.
If I find something, I’ll share it with you.

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FYI my package PythonCall.jl allows you to use different Python installations without rebuilding but still only one installation per Julia session.

If you need to interface with old Python 2 code you’re probably best off running it in a subprocess.

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