-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA512 Hi,
These are quite a few questions and I’ll try to answer some of them. I have cut out the windows specific questions because I cannot answer them . On 25.07.2015 11:39, E.D.G. wrote: > At the moment our Perl programs use Windows "Pipes" plus files in > an interactive mode to send data to Gnuplot so that the data can > be plotted. That actually produces good results. But it is a > complex and inefficient process. So part of the conversion process > involves learning how to have Python or some other program plot > data in the same interactive mode. Using pipes should be no problem, but for plotting, see below. > It has been my experience that sending large amounts of data from > one program to another using a Windows pipe doesn't work very well. > So files are presently being used for bulk data transfers. This may be off topic, but I guess that should in fact be fast. Otherwise, have you tried using localhost TCP sockets? > 2. SPECIFIC CODE QUESTIONS > 2. Graphics - This is likely a fairly complicated question. > > What are some of the graphics options available with Python? Python comes with support for tk and there are bindings available for Qt and Gtk, but I think for your special use case, there are better options. > Does it have its own internal graphics routines? Perl does not as > far as I can tell. And we never had time to explore Fortran's > graphics capabilities. > > I am aware of the existence of Matlab. But as stated, everything > involved with this present effort has to be a free download so > that programmers around the world can easily and inexpensively > generate program subroutines etc. There is a python package called matplotlib [1]. I think it’s interface is in fact inspired by Matlab and it provides powerful and interactive plotting capabilities. > 3. Fast Calculations > > It is my expectation that Python by itself does not do calculations > very fast when compared to a language such as Fortran. You are correct. > > So, what options are available for increasing the speed of Python > calculations? Numpy and Scipy [2] are packages which were made just for that. > > Python could call a Fortran program to do the calculations just as > Perl could. But we would like to avoid having to use more than > one language with this effort. In fact, Numpy and Scipy use compiled Fortran code as far as I know -- but that is of no matter for a python user, they just see the very comfortable pythonic interface. > 6. What is Python's version of the DOS level "System" command that > many programs use as in: > > system "open notepad.exe" import subprocess # this blocks until `open` returns subprocess.check_call(["open", "notepad.exe"]) # returns immediately, `open` continues to run in the background subprocess.Popen(["open", "notepad.exe"]) regards, jwi [1]: http://matplotlib.org/ [2]: http://docs.scipy.org/doc/ -----BEGIN PGP SIGNATURE----- Version: GnuPG v2 iQIcBAEBCgAGBQJVs2vbAAoJEMBiAyWXYliKAeYP/3463zB43n4f5xcQXR0wdzWb Hea4qRuZdDyA/FywgNSay8KZ1tUKCk/LWL7rrP8Dpy2oBagdCYICdxJ11X0i0Oz/ 3fRVj1mbvYC3i4StcGH/wfz54bDsKF3whVtpTqF/Kz9dgSf6KeM608GdfI/yPSjv xh0dRuhkaf62Mx/PD3uhLGhHAxB9ZQhoYXlN8Mbc0sKzhnTJJIR4gfBhKSfpxzta 33hiRDXuHDx7zTO5AlIudFk+UGycrH8WGvsQ4fw/PhPEvOcFQz544GKo/+qCKGi0 y6QMtpchdhay3dZKc8ova8pF4ITdlU2Ojt+7MB4AthquNwje+rD4M388PFfQUWGf yMnWN3vato+uPUWECyi+bktKKS79McFDLn7QdncJI5lGZ216d8Y2uCWVyAw5aie3 2sweWnXmXy/zCeqnn4I4EfWO1jbMZ3fUitf7+rRywmGmq/1GhYg5TDgCC3GIYotU lrETp3Cpt0VCeELpQAODp+BWhU2z/n7Zf4FTrAsb5Ncxw9N08LgiJy0gaoAxGplb jabDFUka0Viof+TY/N8GYdoowR8AZA7E+1h0+aReWqW6N9H7YMpBdgLtI0BOHcuc vBVPWFUg8UtIYCQxLqkcQHb5UXq//eOsl9Bf6tPYWTVxAk4WfLxXE48Udj6Vu6E8 sa2zaDL0kMgoTowiF6Sr =tkL5 -----END PGP SIGNATURE----- -- https://mail.python.org/mailman/listinfo/python-list
