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To switch to the testproj virtual environment, we execute the content of the bin/activate file with the source command.

When working in the terminal, the default active Python environment is always the global system wide environment. Consequently, you need to explicitly inform your Linux system about which one you want to use. And now an additional virtual environment testproj. A quick peek: Activate a Python virtual environment in the Linux terminalĪt this point your Linux system holds multiple Python environments.

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Feel free to look around inside the directory of the newly created virtual environment.

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Convenient, because you need these packages to install other packages into the virtual environment. If you look closely at the output of this command, you’ll notice that virtualenv automatically installed the packages pip, setuptools and wheelfor us.

virtualenv -python=python3 ~/venv/testproj.

Run the following command in the terminal to create the Python virtual environment for project testproj: We create the Python virtual environment for testproj with the help of the virtualenv tool. Later on in this article we’ll create a quick example Python application, called testproj. Now that we know where we want to store our Python virtual environments, let’s move on to the actual creation of one. Assuming a Python project named testproj, its virtual environment would then be located in directory: For example in the venv directory inside your home directory. I recommend to store all your Python project’s virtual environments in one central place. Create a new Python virtual environment in the Linux terminalīefore jumping into the actual creation of the Python virtual environment in the Linux terminal, let’s first decide on where to store it.

openSUSE: sudo zypper install python3 python3-devel python3-virtualenvįor this article, I’ll be using my openSUSE Tumbleweed system.

Fedora: sudo dnf install python3 python3-devel python3-virtualenv.

Debian / Ubuntu: sudo apt install python3 python3-dev virtualenv.

Here follow the installation instructions for popular Linux distributions: To create and manage a Python virtual environment in the Linux terminal, you just need to have Python related development packages installed on your Linux system. I often use this method myself when I want to briefly install and test out a Python application, without it clogging up my system’s Python environment. You can also manually create and manage your Python virtual environment directly in the Linux terminal.

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I covered how to do this with P圜harm in a previous article. Some Python development environments offer functionality to handle the virtual environment creation and management automatically for you. When distributing your Python application, you can use Shiv or PyInstaller to bundle all required packages together with your Python application. You then install the required packages into the virtual environment of your Python development project, instead of system wide. The recommended approach is to create a Python virtual environment for each of your Python development projects. The creation of a Python virtual environment allows you to bypass this problem. What if two Python applications require the same Python package, but a different version? Here’s why: You can only install one version of a specific Python package. A problem waiting to happen, on the other hand. Convenient on the one hand, because all your other Python applications can access it. By default, you install the Python package system wide. The PyPI currently hosts over three-hundred-thousand packages.īefore your project can use such a third party Python package, you need to install the package into your Python environment. Package developers publish their Python package(s) on the Python Package Index ( PyPI) website. As a Python developer, you can leverage these functionality building blocks and get to your prospected end-result quicker. BackgroundĪ great strength of the Python programming language is the huge number of available third party packages. This article explains how you create and manage a Python virtual environment in the Linux terminal. You can sidestep this problem with the help of a Python virtual environment. Especially when Python applications depend on different versions of the same Python package. However, it can quickly become a dependency nightmare. Great for your productivity as a Python developer.

The Python package ecosystem offers and abundance of readily available building blocks for your Python applications.