The original source Matlab m-files that were used to generate these P-files should be used in Octave instead. Compared to MATLAB(R)'s incredible 0.5s (but with the interpreter initialized, which took 20 seconds). p file extension), also known as P-code, are obfuscated files that cannot be run outside of Matlab itself. On my system this version runs in 2 seconds. As far as graphics commands go, the python interpreter will need to be run from within the X11 xterm to be able to display anything to the screen. from math import cos, exp, pi from scipy.integrate import quad function we want to integrate def f(x): return exp(cos(-2 x pi)) + 3.2 call quad to. This file is called izhikevich/izhikevich.py.

%% Calling low-level interface from MATLAB through shared library (DLL) %% %% Originally developed by Edo Macchi, modified by Ian Bell %% %% December 2015 path_to_lib = '/work/CoolProp/libs/shared' %specify path to coolprop shared library path_to_include = '/work/CoolProp/include' %specify path to coolprop's include folder % Loading shared library if ~ libisloaded ( 'coolprop' ) %checking whether library is already loaded addpath ( path_to_lib ) addpath ( path_to_include ) libname = 'libCoolProp' % OSX and linux if ispc libname = 'CoolProp' end loadlibrary(libname,'CoolPropLib.h','includepath',path_to_include,'alias','coolprop') % loading library with alias coolprop disp ( 'loaded CoolProp shared library.' ) disp ( 'loaded these functions: ' ) libfunctions coolprop end buffer_size = 1000 ierr = 0 b = ( 1 : 1 : buffer_size ) herr = char ( b ) %Selecting backend and fluid backend = 'BICUBIC&HEOS' fluid = 'Water' = calllib ( 'coolprop', 'AbstractState_factory', backend, fluid, ierr, herr, buffer_size ) length = 100000 input1 = linspace ( 700000.0, 1500000.0, length ) ' input2 = linspace ( 2.8e6, 3. To show how a fast the script can get in Python I have include a translation by hand into Python+numpy.

Pythonxy run matlab p file