How to Deactivate a Python virtualenv

In this article, we will guide you through the steps to deactivate a Python virtualenv (Virtual Environment). We will also look into the steps that you should follow before exiting the virtual environment. Along with leaving, deactivating, or exiting the virtual environment, you will also learn to list installed packages, and delete a Python virtual environment.

1. Deactivate a Python Virtual Environment (virtualenv)

Deactivating a Python virtual environment is a simple process, but the specific steps depend on the operating system you are using. In this section, we will cover how to deactivate a virtual environment on Windows, macOS, and Linux.

1.1 Deactivate Virtual Environment on Windows OS

To deactivate a virtual environment on Windows, follow these steps:

Open a Command Prompt window.
Navigate to the root directory of your virtual environment.
Run Scripts\deactivate command to deactivate the virtual environment


# Command to deactivate
scripts\deactivate

Following these steps will help you leave the virtual environment on the windows operating system.

1.2 Deactivate Python Virtualenv on macOS and Linux

To deactivate a virtual environment on macOS and Linux, follow these steps:

Open a Terminal window.
Navigate to the root directory of your virtual environment.
Run source bin/deactivate command.
It will deactivate the Python virtual environment on macOS.


# Deactivate using source
source bin/deactivate

2. Why you Need to Exit a Virtual Env

Deactivating a virtual environment is a good practice that can help you avoid potential issues with your Python environment.

Avoid package conflicts: Deactivating a virtual environment ensures that subsequent package installations or modifications are done outside of the virtual environment, reducing the risk of conflicts or errors.
Save resources: Virtual environments can use up memory and other system resources. Deactivating a virtual environment releases any resources associated with it.
Prevent accidental package installations: Deactivating a virtual environment can help prevent accidental installations of packages in the global environment.

3. Key Things to do Before Exiting Virtual Env

There are a few key things you should do to ensure that your environment remains clean and organized before exiting:

3.1 Remove Unnecessary Packages

Your virtual environment may have packages that are no longer needed. To check which packages are installed in your virtual environment, you can use the following command:


# List all packages
pip list

This will display a list of all the packages installed in your virtual environment. You can then remove any packages that are no longer needed by using the following command:


# Remove unwanted package
pip uninstall package-name

3.2 Save Requirements

If you have installed any packages in your virtual environment, it is a good idea to save the requirements so that you can easily recreate the environment in the future. You can do this by running the following command:


pip freeze > requirements.txt

This will create a file named requirements.txt in the current directory containing a list of all the packages installed in the virtual environment along with their versions.

3.3 Remove Temporary Files

Virtual environments can create temporary files that are not necessary once the environment is deactivated. Before exiting the virtual environment, Remove any temporary file:


python -c "import tempfile, shutil; shutil.rmtree(tempfile.gettempdir())"

This will remove all temporary files in the system’s temporary directory.

3.4 Deactivate Environment

Deactivate a virtual environment on Windows using the following Command:


scripts\deactivate

Deactivate a virtual environment on macOS or Linux using the following command:


source bin/deactivate

3.5 Delete Virtual Environment

If you no longer need the virtual environment, you can delete it to free up disk space. To delete the virtual environment, simply navigate to the directory containing the environment and delete the entire directory.

Frequently Asked Questions on How to Deactivate a Python virtualenv

How do I deactivate a Python virtualenv?

To deactivate a Python virtual environment (virtualenv), you can use the deactivate command. This command works on both Windows and Unix-based systems (Linux and macOS).

What does deactivating a virtual environment do?

Deactivating a virtual environment returns you to the global Python environment, undoing the isolation provided by the virtual environment. It allows you to switch between different environments or return to the system-wide Python installation.

Can I deactivate a virtual environment without closing the terminal or command prompt?

You can deactivate a virtual environment without closing the terminal or command prompt. Just run the deactivate command, and it will take effect immediately.

Can I reactivate a virtual environment after deactivating it?

You can reactivate a virtual environment after deactivating it. Navigate to the project directory and use the activation command (source venv/bin/activate on Unix/MacOS or .\venv\Scripts\activate on Windows).

Does deactivating a virtual environment delete it?

Deactivating a virtual environment does not delete it. It simply returns you to the global Python environment. If you want to remove the virtual environment, you can delete its folder manually.

Are there other tools for managing virtual environments besides virtualenv?

Besides virtualenv, you can use tools like venv (built-in with Python 3.3 and newer), conda, and pipenv to create and manage virtual environments. The deactivation process might vary slightly depending on the tool you used to create the virtual environment.

Summary and Conclusion

We have discussed how to deactivate a virtual environment in Python. You have learned the importance of deactivating a Python virtual environment and the steps to do so on Windows, macOS, and Linux. We also discussed key things to do before exiting a virtual environment, including removing unnecessary packages and deleting the virtual environment to save space. Let me know if you have any questions.

Happy Learning!!