Setting Up a Python Virtual Environment

1. Install Python (Latest Version)

Download and install the latest version of Python from the official Python website.

• Ensure you check the option to add Python to your PATH during installation.
• After installation, verify Python is installed by running:

Copypython3 --version

2. Install venv Module (if needed)

The venv module is included by default in Python 3.3 and above. If you encounter an error, install it using:

On macOS/Linux:

Copypython3 -m ensurepip --upgrade

On Ubuntu/Debian:

Copysudo apt-get install python3-venv

3. Create a Virtual Environment

Open your terminal and navigate to directory that you want to create your virtual environment in. Then run the following command:

Copypython3 -m venv .venv

• This creates a .venv folder in your project directory containing the isolated Python environment.

4. Attach the Virtual Environment to Your Application

Instead of activating the virtual environment in your terminal, configure your application or code editor to use the Python interpreter from the .venv folder:

• In Vision AI Label Studio: Go to Settings ⚙️ → Python Setup tab, then browse and select the Python interpreter from your .venv folder (e.g., .venv on macOS/Linux or .venv on Windows).

This ensures your application uses the packages and environment from your virtual environment without manual activation.

Conclusion

You've successfully set up a Python virtual environment! This isolated environment allows you to manage dependencies and Python versions for different projects separately.