Hi,
How are you installing Spyder? I mean, what method are you using?
Cheers,
Carlos
El 30/07/14 a las #4, Chiara Maria Aruffo escribió:
Hi all,
I tried to install this new version of Spyder 2.3 on my Mac OS X 10.9,
but it runs only with Python 2.7.
I have already Python 3.4 installed and I using it through IDLE, how
can I change the settings in Spyder to run it with Python 3.4?
I am new in the programming world, so I would ask you an extra-effort
to guide me through it :)
thanks
Ch.
Il giorno venerdì 11 luglio 2014 02:56:37 UTC+2, Carlos Córdoba ha
scritto:
Hi all,
On the behalf of Spyder's development team
(http://code.google.com/p/spyderlib/people/list
<http://code.google.com/p/spyderlib/people/list>), I'm pleased to
announce that Spyder 2.3 has been released and is available for
Windows XP/Vista/7/8, GNU/Linux and MacOS X:
https://bitbucket.org/spyder-ide/spyderlib/downloads
<https://bitbucket.org/spyder-ide/spyderlib/downloads>
This release represents 14 months of development since version 2.2
and introduces major enhancements and new features:
* Python 3 support (versions 3.2, 3.3 and 3.4 are supported).
* Various Editor improvements:
- Use the Tab key to do code completions
- Highlight cells
- First-class support for Enaml files
- Improve how calltips are shown
* Better looking Object Inspector
* Several refinements to the user interface to make it easier
and more intuitive
* And many other changes:
http://code.google.com/p/spyderlib/wiki/ChangeLog
<http://code.google.com/p/spyderlib/wiki/ChangeLog>
Spyder 2.2 has been a huge success (being downloaded more than
400,000 times) and we hope 2.3 will be as successful as it. For
that we merged 30 pull requests from 11 authors, and added almost
1000 commits between these two releases.
Spyder is a free, open-source (MIT license) interactive
development environment for the Python language with advanced
editing, interactive testing, debugging and introspection
features. Originally designed to provide MATLAB-like features
(integrated help, interactive console, variable explorer with
GUI-based editors for dictionaries, NumPy arrays, ...), it is
strongly oriented towards scientific computing and software
development. Thanks to the `spyderlib` library, Spyder also
provides powerful ready-to-use widgets: embedded Python console
(example: http://packages.python.org/guiqwt/_images/sift3.png
<http://packages.python.org/guiqwt/_images/sift3.png>), NumPy
array editor (example:
http://packages.python.org/guiqwt/_images/sift2.png
<http://packages.python.org/guiqwt/_images/sift2.png>), dictionary
editor, source code editor, etc.
Description of key features with tasty screenshots can be found at:
http://code.google.com/p/spyderlib/wiki/Features
<http://code.google.com/p/spyderlib/wiki/Features>
Don't forget to follow Spyder updates/news:
* on the project website: http://code.google.com/p/spyderlib/
<http://code.google.com/p/spyderlib/>
* and on our official blog: http://spyder-ide.blogspot.com/
<http://spyder-ide.blogspot.com/>
Last, but not least, we welcome any contribution that helps making
Spyder an efficient scientific development/computing environment.
Join us to help creating your favorite environment!
(http://code.google.com/p/spyderlib/wiki/NoteForContributors
<http://code.google.com/p/spyderlib/wiki/NoteForContributors>)
Enjoy!
-Carlos
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