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Windows users can also consider Visual Studio + Python Tools [1]. Another multiplatform alternative is Enthought's Canopy (Free Academic License) [2]. I conside
by elyase 13y ago
Windows users can also consider Visual Studio + Python Tools [1]. Another multiplatform alternative is Enthought's Canopy (Free Academic License) [2]. I consider both to be superior alternatives to Spyder for scientific python usage. And of course the iPython notebook [3] which is my favorite alternative but you still can't easily inspect the variables, I hope it comes soon with the javascript enhancements.
I appreciate the great effort behind Spyder but I think the UI and the documentation, website etc lack a lot of polishing and attention. I have tried it a couple times and I never get around simple things, like installing packages and the environment.
[1] http://pytools.codeplex.com http://pytools.codeplex.com
[2] https://www.enthought.com/products/canopy/ https://www.enthought.com/products/canopy/
[3] http://ipython.org/notebook.html http://ipython.org/notebook.html
- ccordoba12 13y agoPlease use Continuum's Anaconda (multiplatform), Python(x,y) or WinPython (Windows only) if you want to have a full scientific distribution that also comes with Spdyer. I you're on Mac, you can also download our dmg [1], which has the most important scientific libs preinstalled. At the moment we don't provide a way to install packages with Spyder but I'm thinking to build one on top of conda (Anaconda's package manager). I agree with your complaint about our docs, they are very minimal indeed. What we have tried to do is to make our interface as easy to understand as possible to compensate that fact. But I'll try to improve them. If you find elements of our UI not polished enough, please post a message in our mailing list with a detailed explanation, this is very important to us. For example, I fixed most of the complaints on this blog post [2], which helped us to improve a lot our UI. [1] http://code.google.com/p/spyderlib/downloads/list http://code.google.com/p/spyderlib/downloads/list [2] http://xcorr.net/2013/04/17/evaluating-ides-for-scientific-python/ http://xcorr.net/2013/04/17/evaluating-ides-for-scientific-p...