![]() ![]() Step 5: Deactivate the Virtual Environment This will install the requests package in your virtual environment. To do this, use the pip package manager as you normally would.įor example, to install the requests package, enter the following command: pip install requests With the virtual environment activated, you can now install the packages required for your project. This will activate the virtual environment and change your terminal prompt to indicate that you are now using the virtual environment. To do this, enter the following command in your terminal window: source myenv/bin/activate Once you have created the virtual environment, you need to activate it to start using it. This will create a new virtual environment named myenv that uses Python 3.8. Replace /path/to/python/version with the path to the installed Python version, and myenv with the name you want to give to your virtual environment.įor example, if you installed Python 3.8 in the default location on your system, you can create a virtual environment for that version using the following command: virtualenv -p /usr/bin/python3.8 myenv Then, enter the following command to create a new virtual environment: virtualenv -p /path/to/python/version myenv To do this, open a terminal window and navigate to the directory where you want to create the virtual environment. Once you have installed the required Python version, you can create a virtual environment using virtualenv. On macOS, you can use Homebrew to install Python 3.8 using the following command: brew install Windows, you can download and install the required Python version from the official Python website. On Ubuntu, for instance, you can install Python 3.8 using the following command: sudo apt-get install python3.8 There are several ways to do this, depending on your operating system.įor example, on Linux, you can use the package manager to install the required version. Step 1: Install the Required Python Versionīefore you can use a specific Python version with virtualenv, you need to install that version on your system. Virtualenv makes it easy to manage dependencies and ensure that your code works correctly, regardless of the Python version installed on your system.īut what if you need to use a specific Python version for a particular project? Fortunately, virtualenv makes it easy to use different Python versions, and in this blog post, we will walk you through the process. In the newly created settings.As a software engineer, you are probably familiar with virtual environments (virtualenv) as a way of creating isolated Python environments for your projects. ![]() When you now run your Python application, it will automatically activate your virtual environment. vscode/settings.json in your project’s root directory. To do this, you have to open the workspace settings.json with Ctrl+Shift+P or Cmd+Shift+P on macOS and enter settings.json. When you open your Python project directory with VSCode and create a virtual environment, it won’t activate it by default. Now that you successfully installed pyenv and set up virtual environments, I will show you in this section how to tell VSCode to activate virtual environments by default for your Python projects. venv directory and create a new one with python -m venv. In the rare case you messed up your virtual environment, you can delete the. And when you use pip, it also installs all modules into the. After you activate the virtual environment, you can check with which python or get-command python that is now called from the. ![]() Now a (.venv) string will appear in front of your command line. In this article and the accompanying Youtube videos, you learn how to install and set up pyenv and venv under Windows 10, macOS, and Ubuntu Linux and how to use it with VSCode. And sometimes, you want to take a sneak at the latest Python release candidate but don’t want to ruin your production system.įor all those situations, pyenv and virtual environments ( venv) offer an easy solution for installing different Python versions on your system and setting up environments with other requirements. Or, if you created a Python module yourself and want to validate that it runs correctly on different Python versions, you need a way to install several Python versions on your system. ![]() And most of those projects require different Python versions and depend on other modules like a particular version of numpy, for example. Why should you use pyenv and Virtual Python Environments?Īs a programmer, either employed at a company, freelancer or even as a hobbyist, you usually work on multiple programming projects simultaneously. ![]()
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