A fairly basic introductory comparison between Python (using NumPy) and Matlab can be found here:
http://wiki.scipy.org/NumPy_for_Matlab_UsersFor fans of the Matlab IDE, I think the nearest for Python development would be Eclipse using the PyDev plug-in. Eclipse (via other plug-ins) also supports R, C/C++, Java and other languages.
I use Eclipse pretty much exclusively, but as I have failed to persuade anyone else in my department to use it, it's obviously an acquired taste.
Regards Mark On 22/08/14 12:47, Jan Schnupp wrote:
Hi Alain, "calling" python from matlab is easy (as you are probably aware, you can all anything from Matlab using the dos() function, and I often conjure up little python helpers from matlab in this way). The hard part is shifting data between python and matlab in a way that is efficient, elegant and easy to implement, and which works on UNIX based systems as well as on Windows (i.e. no proprietary OLE). You can always hack together a kludge that writes temporary binary files in one environment and reads it in the other (which is what I tend to do), but that is inelegant and has nontrivial overheads. Or you could python and matlab work together on some sort of client/server model. That would be more elegant - the matlab and python parts then wouldn't even have to be on the same machine, but the programming investment is very large. I don't know of any developments to make this sort of stuff easier that are even on the distant horizon. If other list members know of any I would be interested to hear about them. Cheers, J On 22 August 2014 08:44, Alain de Cheveigne <alain.de.cheveigne@xxxxxx> wrote:Hi Marek, I am looking for the opposite: an easy, efficient and reliable way to call Python from Matlab. My programming environment nowdays is matlab and I can't easily change. The best course that I see is to implement new code in Python and call it from matlab, and make the switch to Python when Python code reaches critical mass. I suspect many people are in a similar position. Alain On 21 Aug 2014, at 11:20, Marek Rudnicki <marek.rudnicki@xxxxxx> wrote:Etienne Gaudrain <e.p.c.gaudrain@xxxxxxx> writes:Dear Marek, This looks very promising, I'm glad to finally see the first signs of a shift from Matlab to Python. Thanks a lot for sharing this!!Dear Etienne I'm glad you like it. BTW, if you still have some MATLAB legacy code that you would like to use in Python, then matlab_wrapper [1] could be helpful. It allows you to call MATLAB functions directly from Python environment (the MATLAB process is started in the background), e.g.: matlab.workspace.sin([0.1, 0.2, 0.3]) Cheers Marek [1] https://github.com/mrkrd/matlab_wrapperOn 19/08/2014 14:50, Marek Rudnicki wrote:Hi all, we would like to announce *cochlea* -- a collection of inner ear models in Python. It was developed in the group of Werner Hemmert [1] at the Technische Universität München. After a few years of development, we decided that it is stable and would like to contribute it to the auditory community. The main features of the package are: - simple to use (each model is implemented as a single Python function: sound in, spikes out) - fast (you can generate responses of hundreds or even thousands of nerve fibers) - all models have the same interface (easy to make comparisons and pick the one that best suits your needs) - up-to-date (recent models included) Currently implemented models are: - Zilany, M. S., Bruce, I. C., & Carney, L. H. (2014). Updated parameters and expanded simulation options for a model of the auditory periphery. The Journal of the Acoustical Society of America, 135(1), 283-286. - Zilany, M. S., Bruce, I. C., Nelson, P. C., & Carney, L. H. (2009). A phenomenological model of the synapse between the inner hair cell and auditory nerve: long-term adaptation with power-law dynamics. The Journal of the Acoustical Society of America, 126(5), 2390-2412. - Holmberg, M. (2007). Speech Encoding in the Human Auditory Periphery: Modeling and Quantitative Assessment by Means of Automatic Speech Recognition. PhD thesis, Technical University Darmstadt. - MATLAB Auditory Periphery by Meddis et al. (external model, not implemented in the package, but easily accessible through matlab_wrapper). We are really grateful to the authors of those models for allowing us to use their code it in *cochlea*. We release the package under the GNU General Public License, so that you are free to copy, use and modify the code. We also encourage you to contribute back your changes. The code is distributed on GitHub [2] and the package/documentation are hosted on the Python Package Index [3]. Check also our demo [4]! If you would like to give a feedback, have questions or found some problem, do not hesitate to email me or open an issue on GitHub [2]. Thank you and best regards Marek Rudnicki [1] http://www.imetum.tum.de/research/bai/home/?L=1 [2] https://github.com/mrkrd/cochlea [3] https://pythonhosted.org/cochlea/ [4] http://nbviewer.ipython.org/github/mrkrd/cochlea/blob/master/examples/cochlea_demo.ipynb
-- Mark Wibrow PhD candidate Department of Speech Hearing and Phonetic Sciences University College London Room 326, Chandler House 2 Wakefield Street LONDON WC1N 1PF United Kingdom