To download this zipped folder run the following script:#!python2 import urllib url = "https://drive.google.com/uc?export=download&id=1aOdWBReejAk0imtVVHjUMHFui1SmRWVp" filename = "Linear Programming with scipy.zip" urllib.urlretrieve(url, filename)
Extract the zipped folder touching on it: Pythonista will let you to extract it.
Install websocket-client with StaSh.
Then run the script 'main.py' inside the extracted folder.
It should return the same output of the example solved in the above link.
@technoway Hi, I think numpy has no a set of routines for linear programming, but I'm not sure. It is ok for linear algebra but not for any kind optimization (it needs scipy or other tools).