You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hi, I was recently testing the ladybug tools package within external python environment and was wondering whether there are any plans for the code optimization by using numpy data arrays instead of native python lists and dictionaries as well as definitions' vectorization?
I am asking as this could increase the computation time significantly. I was even considering partly rewriting it myself for the sake of my projects.
cheers!
The text was updated successfully, but these errors were encountered:
Hi, @IHoldYA - we use the ladybug core libraries from inside Rhino/Grasshopper and we need to keep them compatible with IronPython. As a result we can't add dependencies like numpy to the core library.
Hi, I was recently testing the ladybug tools package within external python environment and was wondering whether there are any plans for the code optimization by using numpy data arrays instead of native python lists and dictionaries as well as definitions' vectorization?
I am asking as this could increase the computation time significantly. I was even considering partly rewriting it myself for the sake of my projects.
cheers!
The text was updated successfully, but these errors were encountered: