Python virtualenv questions
Normally virtualenv
creates environments in the current directory. Unless you're intending to create virtual environments in C:\Windows\system32
for some reason, I would use a different directory for environments.
You shouldn't need to mess with paths: use the activate
script (in <env>\Scripts
) to ensure that the Python executable and path are environment-specific. Once you've done this, the command prompt changes to indicate the environment. You can then just invoke easy_install and whatever you install this way will be installed into this environment. Use deactivate
to set everything back to how it was before activation.
Example:
c:\Temp>virtualenv myenv
New python executable in myenv\Scripts\python.exe
Installing setuptools..................done.
c:\Temp>myenv\Scripts\activate
(myenv) C:\Temp>deactivate
C:\Temp>
Notice how I didn't need to specify a path for deactivate
- activate
does that for you, so that when activated "Python" will run the Python in the virtualenv, not your system Python. (Try it - do an import sys; sys.prefix
and it should print the root of your environment.)
You can just activate a new environment to switch between environments/projects, but you'll need to specify the whole path for activate
so it knows which environment to activate. You shouldn't ever need to mess with PATH or PYTHONPATH explicitly.
If you use Windows Powershell then you can take advantage of a wrapper. On Linux, the virtualenvwrapper
(the link points to a port of this to Powershell) makes life with virtualenv
even easier.
Update: Not incorrect, exactly, but perhaps not quite in the spirit of virtualenv
. You could take a different tack: for example, if you install Django and anything else you need for your site in your virtualenv, then you could work in your project directory (where you're developing your site) with the virtualenv activated. Because it was activated, your Python would find Django and anything else you'd easy_installed into the virtual environment: and because you're working in your project directory, your project files would be visible to Python, too.
Further update: You should be able to use pip
, distribute
instead of setuptools
, and just plain python setup.py install
with virtualenv
. Just ensure you've activated an environment before installing something into it.
Determine if Python is running inside virtualenv
The most reliable way to check for this is to check whether sys.prefix == sys.base_prefix
. If they are equal, you are not in a virtual environment; if they are unequal, you are. Inside a virtual environment, sys.prefix
points to the virtual environment, and sys.base_prefix
is the prefix of the system Python the virtualenv was created from.
The above always works for Python 3 stdlib venv
and for recent virtualenv
(since version 20). Older versions of virtualenv
used sys.real_prefix
instead of sys.base_prefix
(and sys.real_prefix
did not exist outside a virtual environment), and in Python 3.3 and earlier sys.base_prefix
did not ever exist. So a fully robust check that handles all of these cases could look like this:
import sys
def get_base_prefix_compat():
"""Get base/real prefix, or sys.prefix if there is none."""
return getattr(sys, "base_prefix", None) or getattr(sys, "real_prefix", None) or sys.prefix
def in_virtualenv():
return get_base_prefix_compat() != sys.prefix
If you only care about supported Python versions and latest virtualenv
, you can replace get_base_prefix_compat()
with simply sys.base_prefix
.
Using the VIRTUAL_ENV
environment variable is not reliable. It is set by the virtualenv activate
shell script, but a virtualenv can be used without activation by directly running an executable from the virtualenv's bin/
(or Scripts
) directory, in which case $VIRTUAL_ENV
will not be set. Or a non-virtualenv Python binary can be executed directly while a virtualenv is activated in the shell, in which case $VIRTUAL_ENV
may be set in a Python process that is not actually running in that virtualenv.
What does Python Virtual Env activate_this.py actually do?
You've got it. It rewrites your sys.path
to expose the stuff installed in the virtual environment, and it cuts off access to the globally installed third-party libraries not in the virtual environment.
Python Virtualenv not creating the new environment in the directory I am
use
py -3.8 -m venv _venv38.win32
this will create venv
at cwd
.
virtualenv
has a custom "remote"
location for virtual environments somewhere outside your project
Using Python 3 in virtualenv
simply run
virtualenv -p python3 envname
Update after OP's edit:
There was a bug in the OP's version of virtualenv, as described here. The problem was fixed by running:
pip install --upgrade virtualenv
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