I wrote a script using andaconda2 python2.7, and wxpython, matplotlib, skimage, numpy. After using pyinstaller to generate an executable files. the total size is almost 700 m
I think the canonical way would be:
conda create -n new_env nomkl numpy scipy ...
But depending on your OS, it might be possible that there is no nomkl distribution available (windows?).
Example-quote from here:
On Windows, we have always been linking against MKL. However, with the Anaconda 2.5 release we separated the MKL runtime into its own conda package, in order to things uniformly on all platforms.
Some more relevant discussion might be this
Edit: official blog-post pointing out: the nomkl package is not available on Windows (2/2016)
Edit 2: And even Gohlke nowadays only provide MKL-based windows-binaries.
Edit 3: So if all you need is a numpy-distribution without MKL, you can use these official wheels which are linked against OpenBLAS instead of MKL.
In general you can create a new env:
conda create -n wheel_based python
activate wheel
pip install numpy-1.13.3-cp36-none-win_amd64.whl # or whatever the file is named
There are two problems still:
There is some discussion here.
It might be advisable to not use anaconda for this very specific use-case if you are able to install your remaining dependencies. Scipy (usually the most pain) now has windows-builds (1.0 beta).