Creating a Python Virtual Environment on Ubuntu 18.04
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What is a Python Virtual Environment?
A Python virtual environment is an isolated project space on your system that contains its own Python executable, packages, and modules. Your Python applications and projects often have their own specific dependencies. With a virtual environment you can manage each of your project’s distinct dependencies without having them interfere with each other. You can use the virtualenv tool to create a virtual environment on your system. This guide shows you how to use virtualenv to create and run a Python virtual environment on an Ubuntu 18.04 Linode.
Before You Begin
Complete the Getting Started and Securing Your Server guides to prepare your system.
Update your system:
sudo apt-get update && sudo apt-get upgrade
NoteThis guide is written for a non-root user. Commands that require elevated privileges are prefixed with
sudo. If you’re not familiar with the
sudocommand, you can check our Users and Groups guide.
Create a Python Virtual Environment
Install the virtualenv tool using your package manager:
sudo apt install virtualenv
python-environmentsdirectory in your user’s home directory and navigate to it:
mkdir ~/python-environments && cd ~/python-environments
Create a Python virtual environment. By default, virtualenv attempts to use the Python 2.5 interpreter to create a new environment. Since Ubuntu 18.04 does not have Python 2 installed, you should use the
--pythonoption to tell virtualenv to use your system’s Python 3.6 interpreter. Replace
envwith the name you would like to assign to your virtual environment.
virtualenv --python=python3 env
The command creates a new directory with the name you assigned to your virtual environment. This directory contains all of the isolated files, packages, modules, and executables that is used by your new environment.
Validate that your environment is installed with the version of Python that you expect:
You should see your
envenvironments Python version:
Activate Your Virtual Environment
Activate the newly created virtual environment:
The name of the working environment appears in parentheses after it’s created.
You can now begin installing Python packages and libraries that will remain isolated to your virtual environment.
Deactivate a Virtual Environment
To deactivate an active virtual environment, issue the following command:
Your virtual environment is deactivated and you should no longer see its name listed next to your command line’s prompt
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