Use different Python version with virtualenv

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How do I create a virtual environment for a specified version of Python?

38 Answers

Since Python 3, the documentation suggests creating the virtual environment using:

python3 -m venv "my_env_name"

Please note that venv does not permit creating virtual environments with other versions of Python. For that, install and use the virtualenv package.


Obsolete information

The pyvenv script can be used to create a virtual environment:

pyvenv "/path/to/new/virtual/environment"

Deprecated since Python 3.6.

[November 2019] I needed to install a Python 3.7 environment (env) on my Python 3.8-based Arch Linux system. Python 3.7 was no longer on the system, so I could not downgrade Python, to install a package that I needed.

Furthermore, I wanted to use that package / Python 3.7 inside a virtual environment (venv). This is how I did it.


Download Python version source files:

I downloaded the Python 3.7.4 source files from

https://www.python.org/downloads/source/

to

/mnt/Vancouver/apps/python_versions/src/Python-3.7.4.tgz

I then extracted that archive (source files) to

/mnt/Vancouver/apps/python_versions/src/Python-3.7.4/


Installation:

[Note: in my system env, not a venv.]

cd /mnt/Vancouver/apps/python_versions/src/Python-3.7.4/
time ./configure                 ## 17 sec
time make                        ## 1 min 51 sec
time sudo make install           ## 18 sec
time make clean                  ## 0.3 sec

Examine installed Python versions:

$ which python
/usr/bin/python

$ python --version
Python 3.8.0

$ which python3.7
/usr/local/bin/python3.7

$ python    ## Python 3.8 [system / env]
Python 3.8.0 (default, Oct 23 2019, 18:51:26) 
[GCC 9.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>>

$ python3.7    ## newly-installed Python 3.7 package
Python 3.7.4 (default, Nov 20 2019, 11:36:53) 
[GCC 9.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import sys
>>> print(sys.version)
3.7.4 (default, Nov 20 2019, 11:36:53) 
[GCC 9.2.0]
>>>

$ python3.7 --version                                                                                                 
Python 3.7.4

How to create a venv for a specific Python version:

https://docs.python.org/3/tutorial/venv.html

12.2. CREATING VIRTUAL ENVIRONMENTS

The module used to create and manage virtual environments is called venv. venv will usually install the most recent version of Python that you have available. If you have multiple versions of Python on your system, you can select a specific Python version by running python3 or whichever version you want.

To create a virtual environment, decide upon a directory where you want to place it, and run the venv module as a script with the directory path:

python3 -m venv tutorial-env

This will create the tutorial-env directory if it doesn’t exist, and also create directories inside it containing a copy of the Python interpreter, the standard library, and various supporting files. ...


Create Python 3.7 venv [on a Python 3.8 operating env / system]:

python3.7 -m venv ~/venv/py3.7      ## create Python 3.7-based venv
source ~/venv/py3.7/bin/activate    ## activate that venv
deactivate                          ## deactivate that venv (when done, there)

Added to ~/.bashrc:

alias p37='echo "   [Python 3.7 venv (source ~/venv/py3.7/bin/activate)]" && source ~/venv/py3.7/bin/activate'

Test Python 3.7 venv:

$ p37                                                                                                                 
[Python 3.7 venv (source ~/venv/py3.7/bin/activate)]

(py3.7)$ python --version
Python 3.7.4

(py3.7)$ python
Python 3.7.4 (default, Nov 20 2019, 11:36:53) 
[GCC 9.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import sys
>>> print(sys.version)
3.7.4 (default, Nov 20 2019, 11:36:53) 
[GCC 9.2.0] 
>>>

You should have that Python version installed. If you have it then basically,

With virtualenv,

virtualenv --python=python3.8 env/place/you/want/to/save/to

with venv

python3.8 -m venv env/place/you/want/to/save/to

The above examples are for python3.8, you can change it to have different versions of virtual environments given that they are installed in your computer.

These two commands should work fine.

virtualenv -p python2 myenv (For python2)

virtualenv -p python3 myenv (For python3)

For Mac(High Sierra), install the virtualenv on python3 and create a virtualenv for python2:

 $ python3 -m pip install virtualenv
 $ python3 -m virtualenv --python=python2 vp27
 $ source vp27/bin/activate
 (vp27)$ python --version
 Python 2.7.14

As already mentioned in multiple answers, using virtualenv is a clean solution. However a small pitfall that everyone should be aware of is that if an alias for python is set in bash_aliases like:

python=python3.6

this alias will also be used inside the virtual environment. So in this scenario running python -V inside the virtual env will always output 3.6 regardless of what interpreter is used to create the environment:

virtualenv venv --python=pythonX.X

These seem a little overcomplicated for Windows. If you're on Windows running python 3.3 or later, you can use the python launcher py to do this much more easily. Simply install the different python version, then run:

py -[my version] -m venv env

This will create a virtual environment called env in your current directory, using python [my version]. As an example:

py -3.7 -m venv env
./env/Scripts/activate

This creates a virtual environment called env using python3.7 and activates it. No paths or other complex stuff required.

I use pyenv to manage my python version.

pyenv install 3.7.3
pyenv local 3.7.3

Check your python version:

$ python --version
Python 3.7.3

Create the virtual environment with venv:

python -m venv .

Then activate the Virtual Environment:

source bin/activate

Check your python version:

$ python --version
Python 3.7.3

You may need to remove the previous virtual environment

rm -rf bin

End of 2020:

The most seamless experience for using virtualenv (added benefit: with any possible python version) would be to use pyenv and its (bundled) pyenv-virtualenv plugin (cf https://realpython.com/intro-to-pyenv/#virtual-environments-and-pyenv)

Usage: pyenv virtualenv <python_version> <environment_name>

Installation:

cf https://github.com/pyenv/pyenv-installer

That being said, nowadays the best possible alternative instead of using virtualenv (and pip) would be Poetry (along with pyenv indicated above, to handle different python versions).

Another option, because it's supported directly by the PyPA (the org behind pip and the PyPI) and has restarted releasing since the end of May (didn't release since late 2018 prior to that...) would be Pipenv

This worked for my usage in Windows 10, where I have Python 3.7 and want to downgrade for a project in Python 3.6.6:

I used "venv" to create a new environment called "venv", I downloaded from https://www.python.org/downloads/windows/ ; install "Download Windows x86-64 executable installer-" ; then I used the following command line in the directory where I want to create my environment

>C:\Users\...\Python\Python36\python.exe -m venv venv

Finally, I activated the environnent using the command line:

>venv\Scripts\activate.bat

And check the python version by calling:

>python --version Python 3.6.6

On Linux Ubuntu 21.04 (currently Python 3.9.5) I needed to get a virtualenv of Python 3.7.8. Full steps to get working:

Find the Python version source you want, for example 3.7.8 is here: https://www.python.org/downloads/release/python-378/

Download the Gzipped source tarball

Unzip it with tar zxvf Python-3.7.8.tgz (amend as required with your version number if different from 3.7.8)

Copy the unzipped folder to /usr/bin with: sudo cp -r Python-3.7.8 /usr/bin

cd /usr/bin/Python-3.7.8/

Check the contents if you wanted to see what you have so far: ls

sudo time ./configure
sudo time make
time sudo make install
time make clean

Check how your python is set up and reporting:

which python
python --version

Should be all relating to your primary install (Python 3.9.5 for me)

To check your new install:

which python 3.7
python3.7 --version

Should be all relating to your 3.7.8 install

If you want to run it to check, do:

python3.7
exit()

Install venv:

sudo apt install venv

To create a venv (maybe in your repo, if so, add .venv to .gitignore):

python3.7 -m venv .venv

To activate your venv:

source .venv/bin/activate

Check your version:

python --version

This was a bug with virtualenv. Just upgrading your pip should be the fix.

pip install --upgrade virtualenv

I use Windows so I should use .exe on the pthon path

virtualenv -p=C:\Python27\python2.exe <envname>

For Debian (debian 9) Systems in 2019, I discovered a simple solution that may solve the problem from within the virtual environment.

Suppose the virtual environment were created via:

python3.7 -m venv myenv

but only has versions of python2 and python2.7, and you need the recent features of python3.7.

Then, simply running the command:

(myvenv) $ python3.7 -m venv --upgrade /home/username/path/to/myvenv/

will add python3.7 packages if they are already available on your system.

It worked for me on windows with python 2 installation :

  1. Step 1: Install python 3 version .
  2. Step 2: create a env folder for the virtual environment.
  3. Step 3 : c:\Python37\python -m venv c:\path\to\env.

This is how i created Python 3 virtual environment on my existing python 2 installation.

Yes you just need to install the other version of python, and define the location of your other version of python in your command like :

virtualenv /home/payroll/Documents/env -p /usr/bin/python3

Here is the stepbystep how to create the Virtual environment in Visual Studio Code folder: I used Powershell (Administrator mode):
1. I create a VSCode folder - "D:\Code_Python_VE" where I want to create Virtual environment.
2. Next I type the command - "pip3 install virtualenv". (D:\Code_Python_VE> pip3 install virtualenv) 3. D:\Code_Python_VE> python3 -m venv project_env
4. D:\Code_Python_VE>project_env\Scripts\activate.bat
5. D:\Code_Python_VE> ls - This will list a new directory "project_env".
6. D:\Code_Python_VE> code . This will start Visual Studio Code. Make sure the command is (code .).
7. Create launch.jason with following content:

{
    // Use IntelliSense to learn about possible attributes.
    // Hover to view descriptions of existing attributes.
    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
    "version": "0.2.0",
    "configurations": [
        {
            "type": "python",
            "request": "launch",
            "name": "Python: Current File (Integrated Terminal 1)",
            "program": "${file}"
        },
        {
            "name": "Python: Current File (Integrated Terminal 2)",
            "type": "python",
            "request": "launch",
            "program": "${file}",
            "console": "integratedTerminal"
        }
    ]
}

(Please search how to go to Debug window and Add new Configuration in VS Code).

  1. Press F1 in Visual studio code and the command pallet will open - Select Python Interpreter and select the virtual environment project_env.
  2. Add test.py file with one statement print("Hello World").
  3. Run this program.
  4. In Visual studio Code terminal -
    (project_env) d:\Code_Python_VE>python -m pip install --upgrade
    I hope this helps.

UBUNTU 19.04 / Global Python 3.7.

This worked for me, enabling a Python 3.8 environment using the recommended venv for python 3 development.

Install 3.8 and 3.8 venv module: $ sudo apt install python3.8 python3.8-venv
plus any other modules you need

Create your Virtual Env using the python version you want in that env

$ /usr/bin/python3.8 -m venv python38-env

switch into your virtual env

$ source python38-env/bin/activate

python -V = python 3.8

Surprised that no one has mentioned conda so far. I have found this is a lot more straightforward than the other methods mentioned here. Let's say I have python 3.9 and python 2.7 and a project I am working on was python 3.5.4, I could simply create the isolated virtual env for 3.5.4 with the conda command without downloading anything else.

To see a list of available python versions first, use the command

conda search "^python$"

To create the virtual environment for python version x.y.z, use the command

conda create -n yourenvname python=x.y.z

Activate venv with

conda activate yourenvname

Deactivate with

conda deactivate

To delete the virtual environment when done, use the command

conda remove -n yourenvname --all

Answer to this question shouldn't be that complicated...

TL,DR:

install as many versions of python you prefer on your system and use:

/c/path/to/any/version/of/python -m venv my_venv

============================================

I use venv to install virtual environments with

python -m venv <where/to/and/name_of_venv>

if you try which python you will see which python you are referring to, when saying "python". for example, for me it is:

which python

result: /c/Program Files/Python36/python

So, now you have the answer! you can install any version of python on your system and have multiple of them at the same time. So, for example I installed Python3.7 in this directory: "C:\Program Files\Python37". So, instead of using 'python' now I specify which python by /c/Program\ Files/Python37/python:

 /c/Program\ Files/Python37/python -m venv my_venv

(don't forget to escape the space in the path)

That's it!

sudo add-apt-repository ppa:deadsnakes/ppa

sudo apt update

sudo apt install python_version (ex: sudo apt install python3.8)

python_version -m venv env (ex: python3.8 -m venv env)

. env/bin/activate

This Above steps will solve your python version for env issue.

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