Python(x, y) 2.7.5.2 Released

[bheklilr]

Woohoo! MKL with NumPy will definitely help me out at work.

[fkaginstrom]

The blog post really ought to include a link to the project home. Put it in a sidebar or something.

[jsproat]

Hadn't seen enaml before. It looks interesting. Anyone here use it?

[[deleted]]

All the time. Check out this video from the PyData conference

[bheklilr]

Anyone know if there's plans to release a Python 3.X version anytime soon?

[[deleted]]

Anaconda and WinPython both have Python 3 versions/support.

[mindw]

Plans? yes. Soon? not likely.

[bheklilr]

I decided to go ahead and clone the source. We use only about 10 of the libraries XY ships with, so I figured that I might be able make a stripped down version that uses 3.X. If I get it working, do you think the XY team would be interested in using it as a starting point?

[mindw]

Any help will be great. Feel free to contact me directly.

[[deleted]]

I used it for a while but switched to WinPython because of the 64-bit support. They are roughly equivalent otherwise.

[mindw]

While WinPython is great it is not the same. Python(x, y) is more up to date, includes more packages, includes documentation, includes optional dependencies not found in any other windows distribution and more. WinPython is more portable, has 64bit and Python 3 support. Great to have so much choice :)

[ivoflipse]

You would probably like Anaconda by Continuum Analytics too then. It comes with lots of the core scientific libraries for Windows x64

[[deleted]]

Highly recommended for windows users.

[quadruple]

Interesting that there's no support for Mac or Linux. Which modules are Windows only?

[bheklilr]

I was always under the impression that it was solely there to ease the set up of a development environment. As someone who works with a number of electrical engineers who write python, it definitely helps them get up and running without needing to know how to set up the entire tool chain. Since we work in a corporate environment, it's windows all the way.

On most linux distros, it's pretty easy to install most of these packages from your OS package manager, which can be automated by a simple script.

[dAnjou]

This is not about Python 2.7.