Python: select one of multiple installed module versions Python: select one of multiple installed module versions python python

Python: select one of multiple installed module versions


Besides the suggestions already given in the comment section, have you thought about using virtualenv? This would give you fine-grained control over every module that you want to use. If you're not familiar with virtualenv you'll want to read the documentation to get a feel for how it works.

Purely for example, you could install and set it up, like so (virtualenv-1.11.6 looks to be the most recent version currently):

$ curl -O https://pypi.python.org/packages/source/v/virtualenv/virtualenv-1.11.6.tar.gz$ tar xvfz virtualenv-1.11.6.tar.gz$ cd virtualenv-1.11.6$ python virtualenv.py ../numpyvenv$ cd ../numpyvenv$ source ./bin/activate(numpyvenv) $ pip install numpy# downloads, compiles, and installs numpy into the virtual environemnt(numpyvenv) $ pythonType "help", "copyright", "credits" or "license" for more information.>>> import numpy>>> numpy.version.version'1.9.1'>>> quit()(numpyvenv) $ deactivate$ # the virtual environment has been deactivated

Above, we created a virtual environment named "numpyvenv", activated the environment, installed numpy, printed the numpy version (to show it works), quit python, and deactivated the environment. Next time you activate the environment, numpy will be there along with whatever other modules you install. You may run into hiccups while trying this, but it should get you started.


I had this problem on a Mac I was using without administrator access. My solution was the following:

  1. Find the directory of the numpy version you want to use. For me this was /Library/Python/2.7/site-packages

  2. Create a file ~/.startup.py and point to it with PYTHONSTARTUP=~/.startup.py in your .bashrc file

  3. In .startup.py:

import sys

sys.path.insert(0,'/Library/Python/2.7/site-packages/') <--- imports this BEFORE the standard parts

import numpy

print("Importing numpy version"+numpy.__version__) <---- To remind that we have changed the numpy version

This seems to work fine for me. I hope it helps.


While a virtualenv seems the way to go, as of Force python to use an older version of module (than what I have installed now) you can also use a modification of

import pkg_resourcespkg_resources.require("Twisted==8.2.0")import twisted