Aside from the obvious solution of "just install the respective package(s) with your 64-bit Python version" , and aside from justifying valid use cases, I am after some technical insight into this scenario.
As an example, say I am running a Python script with a 64-bit Python version , which includes something along the lines of below:
sys.path.append("some 32 bit Python version site package path")
import some_32bit_library
# do stuff with some_32bit_library...
Such that some_32bit_library
is being imported and used from the 32-bit version of Python.
Even though the overall script is run with a 64-bit Python, will importing and using this some_32bit_library
introduce a memory limit because it is from a 32-bit version?
I am aware that a 32-bit application itself is limited to accessing ~4GB of memory. The question is, will using the 32-bit library via a Python script running with a 64-bit version also have the same ~4GB limitation?
Any answer/insight would be appreciated, thank you.
It simply will not work. When a package is labeled 32 or 64, that means it contains binary libraries. You cannot load a 32-bit library into a 64-bit process, nor vice versa.
If the package is Python only (no binary), then it is probably bit-for-bit identical, and will work fine.
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