I am needing to use the LIRC Python client bindings for a project. The LIRC website has good documentation over them, but I have no idea how to actually get them besides copying and pasting the python code. It never says anywhere on the site that I have seen where to actually get them.
Where/how do I get these bindings?
http://www.lirc.org/html/lirc_client.html
http://www.lirc.org/api-docs/html/group__python__bindings.html
I think you need to install python-lirc or python3-lirc available on PyPi.
This is a Python binding to LIRC.
You could install the latest version available on the upstream site: http://sf.net/p/lirc. This is the version actually described in the docs. The pypi described in previous reply is another beast.
I need a version of messagepack that i can use with python2.7-dbg. How would I go about creating one?
for reference I've asked via an issue on github https://github.com/msgpack/msgpack-python and here's a little context python-dbg can't find Py_InitModule4 when debugging
https://wiki.ubuntu.com/PackagingGuide/Complete
https://wiki.ubuntu.com/PyDbgBuilds
http://svn.python.org/projects/python/trunk/Misc/SpecialBuilds.txt
these references were really helpful. Also there's always the option of talking to the devs online via launchpad and mailing lists
thanks for the help
Does anyone know if its possible to install PyGObject/Gtk+3 on windows for Python 3? I have found installers on gnome's website for Python 2 (here), and several statements that it works with Python 3 (e.g. here), but no installer. The compilation instructions all seem to use jhbuild, which from what I can make out is a linux tool. Do I need to compile PyGObject to get it working, and if so, how? Or is there an easier way? What would be great is a guide or howto, but such a ting doesn't seem to exist.
Since this is the most rated question in the topic, I'd like to update the answer. Here is available installer for windows 32bit:
It contain complete SDK-like package. And complete libraries collection too. http://sourceforge.net/projects/pygobjectwin32/files/pygi-aio-3.10.2-win32_rev10-setup.exe/download
I searched for the same thing not so long ago. I couldn't really find much information but this other post
I ended up giving up on GTK+ and switch to xwpython which is really os independant
did you try the offical pypi page https://pygobject.readthedocs.io/en/latest/getting_started.html
I was able to install GTK
I need a tutorial or perhaps more on using Python to print data from a PARALLEL port. Any ideas?
Thanks.
The mentioned PyParallel package is now available on PyPI: https://pypi.python.org/pypi/pyparallel
I tested it successfully with GNU/Linux (Xubuntu 15.10) and Python 3.4.
Have a look at pyserial. http://pyserial.sourceforge.net/ and examples: http://pyserial.sourceforge.net/examples.html
I have some more examples, just need to find them.
Edit: Sorry, I meant pyParallel http://pyserial.sourceforge.net/pyparallel.html
Some examples:
http://orionrobots.co.uk/PyParallel
http://pyserial.svn.sourceforge.net/viewvc/pyserial/trunk/pyparallel/examples/lcd.py?revision=398&view=markup
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.