PythonVirtualEnv: Difference between revisions
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A virtual environment is an isolated working copy of Python, which allows you to work on specific projects without affecting others. It creates an environment that has its own installation directories and that does not share libraries with other virtualenv environments (and optionally doesn’t access the globally-installed libraries either). | A virtual environment is an isolated working copy of [[Python]], which allows you to work on specific projects without affecting others. It creates an environment that has its own installation directories and that does not share libraries with other virtualenv environments (and optionally doesn’t access the globally-installed libraries either). | ||
==Basic Usage== | ==Basic Usage== | ||
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====Creating the virtual environment on Python 3==== | ====Creating the virtual environment on Python 3==== | ||
Python 3 on RHEL comes with the virtualenv module built in. If you are | Python 3 on [[RHEL | Red Hat Enterprise Linux (RHEL)]] comes with the virtualenv module built in. If you are running [[Ubuntu]] on a UMIACS-supported workstation, please contact [[HelpDesk | UMIACS Staff]] to install venv on your machine. In the below example, <tt>env</tt> is the virtual environment name. You can substitute in any other name of your choosing. | ||
<pre> | <pre> | ||
$ python3 -m venv env | $ python3 -m venv env | ||
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Uninstalling nose-1.3.7: | Uninstalling nose-1.3.7: | ||
Would remove: | Would remove: | ||
/nfshomes/ | /nfshomes/username/env/bin/nosetests | ||
/nfshomes/ | /nfshomes/username/env/bin/nosetests-3.4 | ||
/nfshomes/ | /nfshomes/username/env/lib/python3.7/site-packages/nose-1.3.7.dist-info/* | ||
/nfshomes/ | /nfshomes/username/env/lib/python3.7/site-packages/nose/* | ||
/nfshomes/ | /nfshomes/username/env/man/man1/nosetests.1 | ||
Proceed (y/n)? y | Proceed (y/n)? y | ||
Successfully uninstalled nose-1.3.7 | Successfully uninstalled nose-1.3.7 | ||
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==Using a different Python version== | ==Using a different Python version== | ||
To create a virtual environment that uses a version of | To create a virtual environment that uses a version of Python that is different than the system default, create the virtualenv with your target version of Python. This could be a Python build we provide via [[Modules]], or one you've built yourself. Virtualenv will pick up the first Python version it finds in your $PATH, or you can direct it to a specific location with the "--python" flag. | ||
<pre> | <pre> |
Latest revision as of 13:45, 23 October 2024
A virtual environment is an isolated working copy of Python, which allows you to work on specific projects without affecting others. It creates an environment that has its own installation directories and that does not share libraries with other virtualenv environments (and optionally doesn’t access the globally-installed libraries either).
Basic Usage
The following steps outline how to create a virtual environment using the system Python. Please note that Python virtual environments are not relocatable after being installed, so consider the install location carefully. Home directories may have quotas that are not suited for very large environments.
Creating the virtual environment on Python 3
Python 3 on Red Hat Enterprise Linux (RHEL) comes with the virtualenv module built in. If you are running Ubuntu on a UMIACS-supported workstation, please contact UMIACS Staff to install venv on your machine. In the below example, env is the virtual environment name. You can substitute in any other name of your choosing.
$ python3 -m venv env
Creating the virtual environment on Python 2 (deprecated)
$ git clone https://github.com/pypa/virtualenv.git $ python virtualenv/virtualenv.py env New python executable in env/bin/python Installing setuptools.............done.
Activating the VirtualEnv
You will need to use the 'source' command to load it into your shell environment every time you open a new shell.
$ source env/bin/activate
Note: tcsh/csh shell users should run source env/bin/activate.csh instead.
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We also suggest the first thing you do is to ensure you have an updated version of pip, setuptools and wheel installed in your environment. Make sure you have sourced your environment, and then run the following:
$ pip install --upgrade pip setuptools wheel
In bash and tcsh, the environment can be deactivated by typing deactivate
Installing Python Modules
Once you have created your virtual environment and sourced it, you can install additional modules using the 'pip' command.
$ pip install nose Collecting nose Downloading nose-1.3.7-py3-none-any.whl (154 kB) |████████████████████████████████| 154 kB 12.5 MB/s Installing collected packages: nose Successfully installed nose-1.3.7
Listing installed Python Modules
(env)$ pip freeze nose==1.3.7
Uninstalling Python Modules
'pip' can also be used to remove a module from the environment.
$ pip uninstall nose Found existing installation: nose 1.3.7 Uninstalling nose-1.3.7: Would remove: /nfshomes/username/env/bin/nosetests /nfshomes/username/env/bin/nosetests-3.4 /nfshomes/username/env/lib/python3.7/site-packages/nose-1.3.7.dist-info/* /nfshomes/username/env/lib/python3.7/site-packages/nose/* /nfshomes/username/env/man/man1/nosetests.1 Proceed (y/n)? y Successfully uninstalled nose-1.3.7
Switching between virtual environments
To switch between different environments, simply deactivate your current virtual environment, and source another.
(env)$ which python ~/env/bin/python (env)$ deactivate $ source my-other-env/bin/activate (my-other-env)$ which python ~/my-other-env/bin/python
Using a different Python version
To create a virtual environment that uses a version of Python that is different than the system default, create the virtualenv with your target version of Python. This could be a Python build we provide via Modules, or one you've built yourself. Virtualenv will pick up the first Python version it finds in your $PATH, or you can direct it to a specific location with the "--python" flag.
$ module load Python3 $ which python3 /opt/local/stow/Python3-3.8.1/bin/python3
Important: virtualenv will include any modules listed in your PYTHONPATH when initializing the virtual environment. To ensure a vanilla environment, it might be a good idea to verify your PYTHONPATH is empty.
$ echo $PYTHONPATH
$ python3 -m venv env36 $ source env36/bin/activate (env36) $ which python ~/env36/bin/python