Hi,
formlayout will definitely a very nice addition to matplotlib Qt4 backended
plotting windows. It reminds me Traits UI's configure.traits() method.
PyQt4 programming is still a mystery to me, and have chosen to learn Traits
instead.
I am also curious to know what happened to pydee - IPython integration
plans?
I should also mention, I have started a weekly Python meeting in our
department. I highly recommended to Windows users to start with Python(X,Y).
I will see the results next week :)
Gökhan
Hi all,
>
> Dave, you are absolutely right.
>
> Last week-end, I found myself surfing on PyQt's website and I told to
> myself: what about re-reading the license? (always a pleasure) And
> surprisingly, I found out that anyone using the GPL version of PyQt
> can release source code under a very permissive license (like MIT or
> BSD) thanks to the PyQt-GPL Exception, as long as PyQt itself is not
> part of the distributed package (otherwise the whole package has to be
> licensed under GPL) - and with other little restrictions. It was a
> surprise because I've read here and there a lot of things on PyQt
> license and the general idea was "if you write PyQt code without the
> commercial license, your code *must* be licensed under GPL" - I can
> tell now that it's not true (to be absolutely certain about it, I even
> asked to Phil Thompson to confirm this, and he did).
>
> So, I switched all the code I was referring to in my original e-mail
> to MIT license.
> I guess now it could be integrated to matplotlib Qt4 backend?
>
> formlayout (generate option dialogs):
> http://code.google.com/p/formlayout/
>
> pydee (IDE which integrates matplotlib and the option dialog):
> http://code.google.com/p/pydee/
> Meanwhile, thanks to the brand new Google-code Mercurial support, you
> may browse the source code if you like:
>
> http://code.google.com/p/pydee/source/browse/pydeelib/widgets/figureoptions.py
>
> Cheers,
> Pierre
>
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