Hi All,
We are happy to announce that Python(x, y) 2.7.3.0 is available for immediate download. Almost all plugins were updated as well several new ones were added. The most notable are:
- The long awaited update of IPython to v0.13.1 (with ipdb extension).
- ITK/VTK (with VTKGlue restored).
- The Enthought Tool Suite (with enaml).
- Numpy.
- SciPy.
- and many scikits* packages.
As always all packages come as feature complete as possible with up to date documentation, examples and bug fixes.
The next major milestone is the much requested 64-bit support based on Python v2.7.3. Although Python v3.3.0 is promising, too many must have packages are not available for it (Scipy).
Please head over to the download page for download links. There is no update available as the Python distribution was updated.
- Gabi Davar
Version 2.7.3.0 (10/30/2012)
Added
- virtualenv - Creates isolated Python environments.
- SQLAlchemy - The Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL.
- pyzmq - Python bindings for ÃMQ. ÃMQ is a lightweight and fast messaging implementation. A dependency of IPython>=0.12
- Tornado - An open source version of the scalable, non-blocking web server and tools that power FriendFeed?. A dependency of IPython>=0.12
- ply upgraded to standard plagin status. It is a dependency of Enthought's enaml.
Updated
- NumPy? 1.6.2
- Spyder 2.1.11
- SWIG 2.0.8
- PyQt? 4.9.4
- PyQwt? 5.2.1.4
- QtHelp? 4.8.2
- xlrd 0.8.0
- docutils 0.9.1
- SciTE 3.2.2-1
- psutils 0.6.1
- rst2pdf 0.92
- IPython 0.13.1-1
- GDAL 1.9.2-2
- PP 1.6.2
- OpenCV 2.4.2
- Matplotlib 1.1.1
- statsmodels 0.4.3
- scikits.image 0.7.2-1
- NetworkX 1.7
- pandas 0.9.0-1
- PyFITS 3.1
- Console 2.0.148.7
- MinGW 4.5.2.3
- gettext 0.14.4.3
- Cython 0.17.1
- xy 1.2.15
- ETS 4.2.0-1
- cx_Freeze 4.3
- simplejson 2.6.2-1
- Distribute 0.6.30-1
- Veusz 1.16
- pyzmq 2.2.0.1-1
- VTK 5.10.0
- pylint 0.26-1
- guidata 1.5.0
- guiqwt 2.2.0
- Pip 1.2.1
- PyWavelets? 0.2.2
- PyOpenGL 3.0.2-1
- PyTables? 2.4.0
- scikits-learn 0.12.1-1
- Torando 2.4
- ITK 4.2.0
- nose 1.2.1
- SciPy? 0.11.0
- MDP 3.3.0.1
- netcdf4 1.0.1
- ReportLab? 2.6
- h5py 2.1.0
- Pywin32 218-1
- SymPy? 0.7.2-1
- SQLAlchemy 0.7.9-1
- virtualenv 1.8.2-1
- pydicom 0.9.7-1
- openpyxl 1.6.1-1
Fixed
- Issue 49 : problem on the help system
- Issue 470 : Environment Variables Were not cleaned up on uninstall
- Issue 380 : Please re-include itkVtkGlue in itk 3.20.0 python package
- Issue 471 : Silent Uninstall doesn't remove the uninstaller and the directory
- Issue 477 : AutoIt? binaries detected as malware
- Issue 542 : ctraits missing in mayavi
I made a torrent here: http://burnbit.com/torrent/225882/Python_x_y_2_7_3_0_exe
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SciPy officially support Pyhton 3, see here:
ReplyDeletehttp://www.scipy.org/FAQ#head-288204f886c0a120754d189f434864554a4a970d
Google some more:
Deletehttp://projects.scipy.org/scipy/ticket/1739
thanks for the info. I'm successfully using Scipy with Python 3.2, and though there should be no problem with 3.3
DeleteThat makes us both.
DeleteOk, I'm uninstalling this and reinstalling 2.7.2.3. The interaction between Spyder and IPython is broken from the latest IPython version and I really like the way that worked. :/
ReplyDeleteIs it possible to use other numpy packages with Python(x,y), I want to use the MKL version
ReplyDeleteThe MKL version requires all other dependent packages to be MKL as well.
DeleteNo.
Do I really have to uninstall Python 2.7.3 and install Python 2.7.2 to be able to build and install (cf mercurial) Python(x,y) ???
ReplyDeleteTo install - no.
DeleteTo build from source - no, you do require python and other tools installed though.
Thnaks for sharing...keep it up :) and also try it ==>> Microsoft Toolkit 2.7.6
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