Hi everyone, I am enjoying how fast & expressive it feels compared to some other languages I have used before. I still rely a lot on Python for certain libraries & workflows. I have been exploring ways to combine the two but I am not sure what the best practices are when it comes to performance, p…

[image] Olivia: Is PyCall still the go-to approach for most people or are there newer, more efficient ways to integrate Python code into Julia projects?? without comment on some of the bigger picture questions posed here, I think specifically with respect to Python interop, PythonCall.jl (and…

Is PyCall still the go-to approach for most people or are there newer I would say no, PythonCall.jl is now typo not the mainstream, and the future. PyCall is still used by some python package wrappers, so you might end up using both at the same time even without knowing it. See the docs on if suc…

I still use PyCall because I find it easier and some packages I use rely on it. It installs one Python version for all of your packages per Julia version in .julia/conda. If you use PyPlot for plotting, be aware that this can cause problems when you are using multi-threading in Julia. Workaround: D…

[image] ufechner7: I still use PyCall because I find it easier and some packages I use rely on it. That’s your preference, and is ok. PythonCall is easier to set up(?), PyCall not too hard, but not automatic. The latter some package rely on it isn’t an argument to not use PythonCall (too)? Y…

Can you please explain shortly why PythonCall is better than PyCall?

One difference is that PythonCall maintains one Python environment per Julia project, PyCall one for all Julia projects of one major Julia version. What is better really depends on your specific needs.

A bit of an aside, but how does DistributedNext differ from Distributed?

For me, the main reason to use DistributedNext is that it is faster: julia> using DistributedNext julia> @time addprocs(1) 1.629440 seconds (2.79 M allocations: 140.291 MiB, 1.36% gc time, 75.61% compilation time) vs julia> using Distributed julia> @time addprocs(1) 3.044874 seconds (6.72 M a…

Appreciate the feedback, thank you

I want Best Practices for Working With Python & Julia Together

New to Julia

stevengj August 19, 2025, 9:15pm 11

See e.g. [ANN] PythonCall and JuliaCall - #24 by stevengj — PythonCall has the advantage of coming later, and was able to re-visit some of the design decisions in PyCall.

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I want Best Practices for Working With Python & Julia Together

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