For those who use local installations of Julia and Python, especially on a Mac Book, I am looking for advice regarding the best installation options for Python. I’ve used Anaconda for several years, and use JupyterLab for both Julia and Python. I recently had to downgrade my Julia for a class I am taking and had what seemed to be conflicts with using Jupyter and Anaconda. WebIO was a particular problem, but not the only problem. The problem could have been cruft that naturally arises from using a computer.
I uninstalled everything and reinstalled Julia for the class. Base Python 3 is installed and I need to add packages, etc. What advice do people have regarding using Anaconda, Pip, etc. to co-exist with Julia?
By default on Mac and Windows systems, Pkg.add(“PyCall”) or Pkg.build(“PyCall”) will use the Conda.jl package to install a minimal Python distribution (via Miniconda) that is private to Julia (not in your PATH). You can use the Conda Julia package to install more Python packages
I guess the defaults are good, I’m not sure what the problem is on macOS, as I use Linux.
It’s not clear to me you’re already using PyCall, i.e. Julia and Python together. Are you only using Jupyter for Julia and Python separately there? I know Julia and Python can fully coexist as separate installations, as they do by default, and I don’t think Jupyter changes anything in that regard, while I’ve never used it.
If you do not mix the languages in the same notebook I guess Julia and Python should just work and I know you can also mix the two in same notebook with PyCall.
On Linux I do use pip for the system installation of Python, but could use Conda as a non-default option. That’s what you have my default with PyCall on macOS, but you can also use the system Python or Anaconda I believe.
I would also consider Pluto.jl for Julia as a replacement for Jypyter (you could keep using it for Python being fully separate). Pluto.jl is Julia-only in the sense that only Julia can be your main language, but you can still call Python or any language there from Julia.
Thank you for the insight. My use cases are relatively simple. I’m using Julia and Python with JupyterLab, so working in separate notebooks with those kernels. I use the Julia REPL a lot and sometimes Visual Studio Code. I have not had the need to use PyCall, but am aware of it and keep it in mind. I will look at Pluto.jl too. Thanks again.