To run the example script you'll need to place a python environment alongside the executable.
You'll need python34.dll, the python 3.4 stdlib zipped up as python34.zip.
Create a folder named dexpy_env and copy the following modules into it (from a conda env, most likely):
- dateutil
- dexpy
- matplotlib
- numpy
- pandas
- pytz
- scipy
- statsmodels
You'll also need the following DLLs in the path (alongside the exe is fine):
- libpng16.dll (used by _png.pyd, which is from matplotlib)
- zlib.dll (used by _png.pyd, which is from matplotlib)
- mkl_intel_thread.dll (used by multiarray.pyd, which is from numpy/core)
- libifcoremd.dll, libmmbd.dll (used by _ufuncs.pyd, which is from scipy/special)
- mkl_def.dll, libiomp5md.dll (used by the MKL)
Finally, edit matplotlib/mpl-data/matplotlibrc to set the backend (qt requires qt, gtk requires pygtk, etc)