Run Python 64bit In 32Bit mode? - python

Note: Running windows7X64
I want to use some audio functions I have seen allot for python 2.7 like snack and such, however I'm using python 3.3. I have come across pygame.py that has some audio functions however pygame doesn't support 64bit arch yet.
So can it be done? if not do we know of any python audio integration modules that can get the job done on python 3 with a 64bit arch
Yes I can just install python 3 32bit but that seems counterproductive and unnecessarily complicated.
Thanks
Ben

You'll have to install 32-bit Python to run 32-bit extension modules. In my experience, two Python installations can live side-by-side quite nicely on Windows, as long as you make sure your environment (PYTHONPATH esp.) is set properly.

Have you tried this?
$ defaults write com.apple.versioner.python Prefer-32-Bit -bool yes
Edit: For the sake of sharing information, this will work (at least from my experience) on a Mac; however, it will not work on a Windows.

Related

See if Python2 code will compile in Python3

I have Python2.7 installed on my computer. Is there a way to see if the .py code I have will compile in Python3 short of installing Python3?
You can use this program: https://docs.python.org/2/library/2to3.html
It will convert your code form 2 to 3, or give you information about what needs to be changed.
Without knowing anything about your code or operating system, it's hard to say what would be best. If static analysis is the way you want to go, I would suggest taking a look at this to see if any differences jump out at you:
https://docs.python.org/3/whatsnew/3.0.html#common-stumbling-blocks
By the way, Python 2 and 3 can be installed simultaneously on the same machine without too much effort if you change your mind.
If you're running Linux: Running both python 2.6 and 3.1 on the same machine
If you're running Windows: How to install both Python 2.x and Python 3.x in Windows 7

Update python mac installation

I mistakenly deleted the old python installion on my system, i then downloaded the new python 3 release however when i type python into the terminal it still looks for it in the 2.7 directory. I looked through a few questions that said something about updating the path variable however ive had no luck, as to me it seems that python is only 4 files installed in the applications folder. I really would appreciate some help. Thank you
It is better if you reinstall your system from recovery mode. A lot of OSX software can rely on system python, even if it is not python projects. Then recomended way is use homebrew. You can have different python (2.7, 3.3, pypy) versions the same time.

Getting shogun ML library to work with python

I was trying to install shogun on Windows:
http://www.shogun-toolbox.org/doc/installation.html
but evidently it requires python 2.5 to work. I tried with python 3 and it didn't work. But then python 2.5 no longer exists.
Does anybody know how to get it working with python without using python 2.5?
You won't get very far trying with Python 3 (which is not fully compatible with Python 2.x).
Furthermore, the installation instructions say:
"SHOGUN requires the standard linux
utils like bash, grep, test, sed, cut,
ldd, uname gcc g++ cat python"
sounds like you are out of luck on windows, unless you resort to Cygwin.
There are currently two Python languages out there
the original one, which is still being updated (currently at 2.7.2)
the overhauled Python 3, which is breaking compatibility (currently at 3.1.4)
Many libraries have not switched to Python 3 yet, and might not for some time, so you're better off getting 2.6 or 2.7.
For Windows or Mac, I can recommend the Enthought distribution (free for academic use), which contains loads of goodies, including scipy, which you'll very probably need -- and installs hassle-free!

Running both python 2.6 and 3.1 on the same machine

I'm currently toying with python at home and I'm planning to switch to python 3.1. The fact is that I have some scripts that use python 2.6 and I can't convert them since they use some modules that aren't available for python 3.1 atm. So I'm considering installing python 3.1 along with my python 2.6. I only found people on the internet that achieve that by compiling python from the source and use make altinstall instead of the classic make install. Anyway, I think compiling from the source is a bit complicated. I thought running two different versions of a program is easy on Linux (I run fedora 11 for the record). Any hint?
Thanks for reading.
On my Linux system (Ubuntu Jaunty), I have Python 2.5, 2.6 and 3.0 installed, just by installing the binary (deb) packages 'python2.5', 'python2.6' and 'python3.0' using apt-get. Perhaps Fedora packages them and names them as RPMs in a similar way.
I can run the one I need from the command line just by typing e.g. python2.6. So I can also specify the one I want at the top of my script by putting e.g.:
#!/usr/bin/python2.6
Download the python version you want to have as an alternative, untar it, and when you configure it, use --prefix=/my/alt/dir
Cheers
Nik
You're not supposed to need to run them together.
2.6 already has all of the 3.0 features. You can enable those features with from __future__ import statements.
It's much simpler run 2.6 (with some from __future__ import) until everything you need is in 3.x, then switch.
Why do you need to use make install at all? After having done make to compile python 3.x, just move the python folder somewhere, and create a symlink to the python executable in your ~/bin directory. Add that directory to your path if it isn't already, and you'll have a working python development version ready to be used. As long as the symlink itself is not named python (I've named mine py), you'll never experience any clashes.
An added benefit is that if you want to change to a new release of python 3.x, for example if you're following the beta releases, you simply download, compile and replace the folder with the new one.
It's slightly messy, but the messiness is confined to one directory, and I find it much more convenient than thinking about altinstalls and the like.

Recommendations for Python development on a Mac?

I bought a low-end MacBook about a month ago and am finally getting around to configuring it for Python. I've done most of my Python work in Windows up until now, and am finding the choices for OS X a little daunting. It looks like there are at least five options to use for Python development:
"Stock" Apple Python
MacPython
Fink
MacPorts
roll-your-own-from-source
I'm still primarily developing for 2.5, so the stock Python is fine from a functionality standpoint. What I want to know is: why should I choose one over the other?
Update:
To clarify, I am looking for a discussion of the various options, not links to the documentation. I've marked this as a Community Wiki question, as I don't feel there is a "correct" answer. Thanks to everyone who has already commented for their insight.
One advantage I see in using the "stock" Python that's included with Mac OS X is that it makes deployment to other Macs a piece of cake. I don't know what your deployment scenario is, but for me this is important. My code has to run on any number of Macs at work, and I try to minimize the amount of work it takes to run my code on all of those systems.
I would highly recommend using MacPorts with Porticus for managing your Python installation. It takes a while to build everything, but the advantage is that whatever you build yourself will be built against the same libraries, so you won't have to futz around with statically linked shared objects, etc. if you want your Python stuff to work with Apache, PostgreSQL, etc.
If you choose to go this way, remember to install the python_select port and use it to make your system use the Python installed from MacPorts.
As an added bonus, MacPorts has packages for most main-stream Python eggs, so if you should be able to have MacPorts keep you up-to-date with the latest versions of all that stuff :)
Here's some helpful info to get you started. http://www.python.org/download/mac/
Depends what you are using python for. If you are using MacOS funitionality and things like PyObjC you are probably best of with MacPython or the python provided by Apple.
I use Python on my Mac mostly for development of server side applications which later will run on FreeBSD & Linux boxes. For that I have used fink python for a few years and ever since MacPorts python. With mac ports it is simple to add required c modules (like database driver etc). It's also easy to keep two python Versions (2.5 & 2.6 in my case) around.
I used "compile your own" python to test pre-3.0 python but generally I find managing dependencies to c modules painfull if done by hand.
Thanks to easy_install installing pure python modules is fast and easy for all the options mentioned above.
I was never very much an IDE person. For development I use command line subversion installed by MacPorts, Textmate and occasionaly Expandrive do directly access files on servers. I personally are very dependent on Bicyclerepairman for Textmade to handle my refactoring needs.
Others seem to be very happy with Eclipse & Pydev.
How about EPD from Enthought? Yes, it's large but it is a framework build and includes things like wxPython, vtk, numpy, scipy, and ipython built-in.
I recommend using Python Virtual environments, especially if you use a Timecapsule because Timecapsule will back everything up, except modules you added to Python!
Based on the number of bugs and omissions people have been encountering in Leopard python (just here on SO!), I couldn't recommend that version. e.g., see:
Why do I get wrong results for hmac in Python but not Perl?
Problems on select module on Python 2.5
I would choose MacPorts.
It does not eliminate your existing python supplied by Apple since it installs by default in /opt/local/bin (plays nice with it) and plus it is easy to download and install additional python modules (even binary modules that you need to compile!). I use Porticus GUI to maintain my MacPorts installed list of packages, including python.
In my windows environment I use Eclipse and PyDev, which works quite well together, even if it's a bit sparse. Apparently the exact same environment is available for the Mac as well, so I suggest downloading Eclipse and using the internal update software function to update PyDev with the URL http://pydev.sourceforge.net/updates/. To look further into PyDev, look here.
Apple's supplied python is quite old – my tiger install has 2.3.5. This may not be a problem for you, but you would be missing out on a lot. Also, there is a risk that Apple will update it. I'm not sure if moving from 2.3.5 to (say) 2.4 would cause code to break, but I guess it's possible. This happened to perl people recently: http://developers.slashdot.org/article.pl?sid=09/02/18/1435227
Macpython is a framework build (as is Apple's, I believe). To be honest, I'm not sure exactly what that means, but it's a prerequisite for some modules, in particular wxPython. If you get python from macports or fink, you will not be able to run wxPython (unless you run it through X11).
And guess what was forgotten by every answer here ... ActivePython.
No compilation required, even for third-party modules such as numpy, lxml, pyqt and thousands of others.
I recommend python (any python?) plus the ipython shell. My most recent experience with MacPython was MacPython 2.5, and I found IDLE frustrating to use as an editor. It's not very featureful, and its' very slow to scroll large quantities of output.

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