Christopher Rowley

FYI you can now do ``` pkg> conda run conda ... ```

Having a single package for all the python integrations seems like a reasonable compromise. You can always split them out later if necessary.

c.f. https://github.com/JuliaPy/pyjuliapkg/issues/20#issuecomment-2113196448 if you are seeing the packages being frequently reinstalled, then something is wrong I'm not opposed to exposing more of the dependency finding functionality as API, but it...

The erroring function in qiskit is ```python @property def num_qubits(self) -> int: """Return the number of qubits the backend has.""" return self.target.num_qubits ``` Now `self.target` is presumably `[0]`, which is...

This behaviour is intentional. It arises because the version of Python you are using is shipped with OpenSSL 3.4 or older, whereas Julia 1.12 is shipped with OpenSSL 3.5. Using...

I think the solution is to just wait a bit, or relax your constraints on Julia - do you really need Julia 1.12? It looks like the Python builds that...

I can't explain the speed difference (`seval` is directly calling Julia to execute that code, there is essentially zero overhead from JuliaCall) but you shouldn't be creating tuples of thousands...

Can you give some code to demonstrate what you're doing, i.e. some code that works but is slow that you'd like to be faster?

The slow part won't be the call to `get_v` but the summation you perform afterwards. This is because `get_v` is returning a lazy wrapper around the `rand(n)` array, so when...

Nice idea, I think it's possible by asking Conda for a list of all installed packages.