I've created a new RPM using python bdist_rpm . Normally python setup.py install would install python dependencies like websocket-client or any other package. But the RPM just refuses to install anything.
Apparently the suggestion from various other posts seem to be in the line of just requiring them in setup.cfg as rpm packages. This doesn't make sense to me since most of the rpm packages seem to be on really old version and I can't possibly create rpms for all the python packages i require. I need a much recent version and it doesn't make sense that the yum installs don't actually install the packages.
What is the right (clean and easiest) way to do it ? I believe if a setup.py has something like
install_requires=[
"validictory",
"requests",
"netlogger>=4.3.0",
"netifaces",
"pyzmq",
"psutil",
"docopt"
],
Then it should try to either include them in the rpm or try to install it.
I am trying on a clean centos vm using vagrant which I keep destroying and then install the rpm.
Well the super hack way i used was to just add a post install script with all the requirements as easy_install installation (instead of pip because older versions may not have pip and even after installing pip, the approach failed on systems with python 2.6)
#Adding this in setup.py
options = {'bdist_rpm':{'post_install' : 'scripts/rpm_postinstall.sh'}},
Then the script is as follows:
easy_install -U <pkgnames>
Of course a post_uninstall can also be added if you want to clean up which I wouldn't because you have no clue what is using the packages installed apart from this app.
The logic of the rpm approach seems to be for this but its honestly over engineering and I'd rather package all the modules with the rpm to ensure it always works. ** Screaming out for a cleaner solution **
I am trying to install wxPython from src as I need the exact version 3.0.2.0 on Ubuntu. (So, I cannot follow the suggesion in the related question) I downloaded the source and did ./configure, make and make install. It seems to have ended without errors with the following message.
The installation of wxWidgets is finished. On certain platforms
(e.g. Linux) you'll now have to run ldconfig if you installed a
shared library and also modify the LD_LIBRARY_PATH (or equivalent)
environment variable. wxWidgets comes with no guarantees and
doesn't claim to be suitable for any purpose.
I confirmed my installation is not working by doing import wx & wx.version(). What needs to be done to complete the installation? Where should I set the LD_LIBRARY_PATH to?
Doing ./configure, make and make install only builds and installs wxWidgets. You also need to build wxPython using the build-wxpython.py script, which by default will also do the wxWidgets portion of the build for you, using known good configure flags. See wxPython/docs/BUILD.txt in the source tarball.
Try to check if wx is in sys.pah.
You can do it with this code
import sys
print sys.path
In output must be something like that /usr/lib/python2.7/dist-packages/wx
If not, adding path to wx folder to system path should solve your problem.
gtk3 should be install first
$sudo apt-get libgtk-3-dev
If you are facing problem to install wxpython on Python3 please use this command to install wxpython
$ pip install -U -f https://extras.wxpython.org/wxPython4/extras/linux/gtk3/ubuntu-16.04 wxPython
By this command you can install latest wxPython4 version.
If you are using Windows or macOS
$ pip install -U wxpython
Older Version you can get from this link
https://sourceforge.net/projects/wxpython/files/wxPython/
I decided today I better download python 3.4. So I go to the python/downloads page and do that. Now I am trying to make a new virtualenv using my new python module, mkvirtualenv -p python3.4 sandbox, but I get an error that it can't find my python executable.
The executable /Users/croberts/python3.4 (from --python=/Users/croberts/python3.4) does not exist
This is understandable, but I can't figure out where it is. The old versions of python are in /usr/bin/ but the new one didn't get installed there. How do you search for where a program is using the terminal?
According to the ReadMe.txt bundled with the installer, Python installs default to /Library/frameworks/Python.framework. I just did a test install and it ended up here specifically:
/Library/frameworks/Python.framework/versions/3.4/Python
Unless you changed the settings on the installer, that's where it should live. (If you installed it from source, I'd assume you'd know where you put it.) Something to note is that if you use Homebrew (and possibly other OSX package managers like MacPorts, though I haven't used it), installing Python through the PPC installer will cause a warning:
Warning: Python is installed at /Library/Frameworks/Python.framework
Homebrew only supports building against the System-provided Python or a
brewed Python. In particular, Pythons installed to /Library can interfere
with other software installs.
So if you do use Homebrew (and it's great), it's best to simply use brew install python3, which will put it into /usr/local/bin. Then you can alias python (or python3) to that version, instead.
I have installed scipy and numpy, and they are being used with my current, desired version of python 2.7.6 (I am running on OSX Mavericks and had to upgrade.) However, when I pip installed matplotlib, by default it referenced my previous python version, 2.7.5, thus making it troublesome to use (obviously.)
How do I change which version of python matplotlib uses so I can import and use the library?
Thanks.
The way I would solve this problem is like this, firstly one would need to go into your 2.7.6 directory, and under the Scripts folder you will find the pip executable. My suggestion is (because its difficult to debug this kind of people without having all the details) is this:
./pip install matplotlib
And see if this succeeds, otherwise, I suggest using pyenv to manage your python installations.
I suggest you use Macports for installing additional Python versions on OS X. Once Macports is installed, it's fairly easy to install Python 2.7.6. All you'd have to do is:
sudo port install python27
Now, you should be able to get all the libraries you need just as easily, using, too, Macports.
sudo port install py27-numpy
sudo port install py27-scipy
sudo port install py27-matplotlib
Macports should solve all the dependencies and, of course, link the packages to their correct Python versions, avoiding you a lot of headaches.
For a step by step guide on how to set up a nice, functional Python environment, visit: http://jakevdp.github.io/blog/2013/02/02/setting-up-a-mac-for-python-development/
I'm starting to learn python and loving it. I work on a Mac mainly as well as Linux. I'm finding that on Linux (Ubuntu 9.04 mostly) when I install a python module using apt-get it works fine. I can import it with no trouble.
On the Mac, I'm used to using Macports to install all the Unixy stuff. However, I'm finding that most of the python modules I install with it are not being seen by python. I've spent some time playing around with PATH settings and using python_select . Nothing has really worked and at this point I'm not really understanding, instead I'm just poking around.
I get the impression that Macports isn't universally loved for managing python modules. I'd like to start fresh using a more "accepted" (if that's the right word) approach.
So, I was wondering, what is the method that Mac python developers use to manage their modules?
Bonus questions:
Do you use Apple's python, or some other version?
Do you compile everything from source or is there a package manger that works well (Fink?).
The most popular way to manage python packages (if you're not using your system package manager) is to use setuptools and easy_install. It is probably already installed on your system. Use it like this:
easy_install django
easy_install uses the Python Package Index which is an amazing resource for python developers. Have a look around to see what packages are available.
A better option is pip, which is gaining traction, as it attempts to fix a lot of the problems associated with easy_install. Pip uses the same package repository as easy_install, it just works better. Really the only time use need to use easy_install is for this command:
easy_install pip
After that, use:
pip install django
At some point you will probably want to learn a bit about virtualenv. If you do a lot of python development on projects with conflicting package requirements, virtualenv is a godsend. It will allow you to have completely different versions of various packages, and switch between them easily depending your needs.
Regarding which python to use, sticking with Apple's python will give you the least headaches, but If you need a newer version (Leopard is 2.5.1 I believe), I would go with the macports python 2.6.
Your question is already three years old and there are some details not covered in other answers:
Most people I know use HomeBrew or MacPorts, I prefer MacPorts because of its clean cut of what is a default Mac OS X environment and my development setup. Just move out your /opt folder and test your packages with a normal user Python environment
MacPorts is only portable within Mac, but with easy_install or pip you will learn how to setup your environment in any platform (Win/Mac/Linux/Bsd...). Furthermore it will always be more up to date and with more packages
I personally let MacPorts handle my Python modules to keep everything updated. Like any other high level package manager (ie: apt-get) it is much better for the heavy lifting of modules with lots of binary dependencies. There is no way I would build my Qt bindings (PySide) with easy_install or pip. Qt is huge and takes a lot to compile. As soon as you want a Python package that needs a library used by non Python programs, try to avoid easy_install or pip
At some point you will find that there are some packages missing within MacPorts. I do not believe that MacPorts will ever give you the whole CheeseShop. For example, recently I needed the Elixir module, but MacPorts only offers py25-elixir and py26-elixir, no py27 version. In cases like these you have:
pip-2.7 install --user elixir
( make sure you always type pip-(version) )
That will build an extra Python library in your home dir. Yes, Python will work with more than one library location: one controlled by MacPorts and a user local one for everything missing within MacPorts.
Now notice that I favor pip over easy_install. There is a good reason you should avoid setuptools and easy_install. Here is a good explanation and I try to keep away from them. One very useful feature of pip is giving you a list of all the modules (along their versions) that you installed with MacPorts, easy_install and pip itself:
pip-2.7 freeze
If you already started using easy_install, don't worry, pip can recognize everything done already by easy_install and even upgrade the packages installed with it.
If you are a developer keep an eye on virtualenv for controlling different setups and combinations of module versions. Other answers mention it already, what is not mentioned so far is the Tox module, a tool for testing that your package installs correctly with different Python versions.
Although I usually do not have version conflicts, I like to have virtualenv to set up a clean environment and get a clear view of my packages dependencies. That way I never forget any dependencies in my setup.py
If you go for MacPorts be aware that multiple versions of the same package are not selected anymore like the old Debian style with an extra python_select package (it is still there for compatibility). Now you have the select command to choose which Python version will be used (you can even select the Apple installed ones):
$ port select python
Available versions for python:
none
python25-apple
python26-apple
python27 (active)
python27-apple
python32
$ port select python python32
Add tox on top of it and your programs should be really portable
Please see Python OS X development environment. The best way is to use MacPorts. Download and install MacPorts, then install Python via MacPorts by typing the following commands in the Terminal:
sudo port install python26 python_select
sudo port select --set python python26
OR
sudo port install python30 python_select
sudo port select --set python python30
Use the first set of commands to install Python 2.6 and the second set to install Python 3.0. Then use:
sudo port install py26-packagename
OR
sudo port install py30-packagename
In the above commands, replace packagename with the name of the package, for example:
sudo port install py26-setuptools
These commands will automatically install the package (and its dependencies) for the given Python version.
For a full list of available packages for Python, type:
port list | grep py26-
OR
port list | grep py30-
Which command you use depends on which version of Python you chose to install.
I use MacPorts to install Python and any third-party modules tracked by MacPorts into /opt/local, and I install any manually installed modules (those not in the MacPorts repository) into /usr/local, and this has never caused any problems. I think you may be confused as to the use of certain MacPorts scripts and environment variables.
MacPorts python_select is used to select the "current" version of Python, but it has nothing to do with modules. This allows you to, e.g., install both Python 2.5 and Python 2.6 using MacPorts, and switch between installs.
The $PATH environment variables does not affect what Python modules are loaded. $PYTHONPATH is what you are looking for. $PYTHONPATH should point to directories containing Python modules you want to load. In my case, my $PYTHONPATH variable contains /usr/local/lib/python26/site-packages. If you use MacPorts' Python, it sets up the other proper directories for you, so you only need to add additional paths to $PYTHONPATH. But again, $PATH isn't used at all when Python searches for modules you have installed.
$PATH is used to find executables, so if you install MacPorts' Python, make sure /opt/local/bin is in your $PATH.
There's nothing wrong with using a MacPorts Python installation. If you are installing python modules from MacPorts but then not seeing them, that likely means you are not invoking the MacPorts python you installed to. In a terminal shell, you can use absolute paths to invoke the various Pythons that may be installed. For example:
$ /usr/bin/python2.5 # Apple-supplied 2.5 (Leopard)
$ /opt/local/bin/python2.5 # MacPorts 2.5
$ /opt/local/bin/python2.6 # MacPorts 2.6
$ /usr/local/bin/python2.6 # python.org (MacPython) 2.6
$ /usr/local/bin/python3.1 # python.org (MacPython) 3.1
To get the right python by default requires ensuring your shell $PATH is set properly to ensure that the right executable is found first. Another solution is to define shell aliases to the various pythons.
A python.org (MacPython) installation is fine, too, as others have suggested. easy_install can help but, again, because each Python instance may have its own easy_install command, make sure you are invoking the right easy_install.
If you use Python from MacPorts, it has it's own easy_install located at: /opt/local/bin/easy_install-2.6 (for py26, that is). It's not the same one as simply calling easy_install directly, even if you used python_select to change your default python command.
Have you looked into easy_install at all? It won't synchronize your macports or anything like that, but it will automatically download the latest package and all necessary dependencies, i.e.
easy_install nose
for the nose unit testing package, or
easy_install trac
for the trac bug tracker.
There's a bit more information on their EasyInstall page too.
For MacPython installations, I found an effective solution to fixing the problem with setuptools (easy_install) in this blog post:
http://droidism.com/getting-running-with-django-and-macpython-26-on-leopard
One handy tip includes finding out which version of python is active in the terminal:
which python
When you install modules with MacPorts, it does not go into Apple's version of Python. Instead those modules are installed onto the MacPorts version of Python selected.
You can change which version of Python is used by default using a mac port called python_select. instructions here.
Also, there's easy_install. Which will use python to install python modules.
You may already have pip3 pre-installed, so just try it!
Regarding which python version to use, Mac OS usually ships an old version of python. It's a good idea to upgrade to a newer version. You can download a .dmg from http://www.python.org/download/ . If you do that, remember to update the path. You can find the exact commands here http://farmdev.com/thoughts/66/python-3-0-on-mac-os-x-alongside-2-6-2-5-etc-/
I use easy_install with Apple's Python, and it works like a charm.
Directly install one of the fink packages (Django 1.6 as of 2013-Nov)
fink install django-py27
fink install django-py33
Or create yourself a virtualenv:
fink install virtualenv-py27
virtualenv django-env
source django-env/bin/activate
pip install django
deactivate # when you are done
Or use fink django plus any other pip installed packages in a virtualenv
fink install django-py27
fink install virtualenv-py27
virtualenv django-env --system-site-packages
source django-env/bin/activate
# django already installed
pip install django-analytical # or anything else you might want
deactivate # back to your normally scheduled programming