mkl_blas_dgemm_alloc not found in mkl_intel_thread - python-3.x

I developed a a tool in python 3.5 some time ago which currently only uses differential evolution from scipy to do its task. For some reasons I had to change settings on my machine and switch to use python in a virtual environment.
My specs now:
win 10 64 bit
used pip 9.0.1
numpy 1.12.1+mkl
scipy 0.19.0
python 3.6.1
I have a different env using python 2.7 flying around somewhere else.
Now my problem....everytime the differential evolution function gets its first set of data it crashes after returning the differential_evolution step value.
The differential_evolution call can be found under ./libraries/methods/differential_evoluation.py line 76
The pop-up Error is "Entry point 'mkl_blas_dgemm_alloc wasn't found in 'mkl_intel_thread.dll'." And the printed error is "Intel MKL FATAL ERROR: Cannot load mkl_intel_thread.dll." Please notice that my system language is german therfore the pop-up message was translated by me.
I don't know whether this is relevant but my directory structure is:
>some_place/location1/goal.py
>some_place/location2/env/
I didn't work with virtualenv before and in addition to this i used python 3.5. I'd appreciate any help or instructions on how to add more information to this case to help clarify my problem.
Yours sincerely

OK I'm back with more information. Maybe someone else will stumble uppon it. To be clear: I do not know the fix or reason. I just tried a bunch of stuff.
Using
python 3.5.3,numpy 1.11.1+mkl and scipy-0.18.0 or scipy-0.19.0
made the error disappear. I couldn't try numpy 1.11.1 or 1.11.2 for python 3.6 because this kind soul sadly doesn't offer those versions anymore. I found the 1.11.1 version for python 3.5 somewhere on my disk.
From my testing i can tell that it breaks once i use numpy 1.11.3 or higher. 1.11.1 works fine. Therefore I assume that some changes happened either in numpy between 1.11.1 and 1.11.3 which break it OR in how this kind soul creates/builds his wheels. So I'm going to use python 3.5 for now as i do not have numpy 1.11.1+mkl for python 3.6.
Yours sincerely

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