Python Virtual Environments
Virtual environments are essential for isolating project dependencies. They allow you to have different versions of libraries for different projects without conflicts. Python's built-in tool for this is venv (or virtualenv for older Python versions).
Creating a Virtual Environment
Navigate to your project directory in the terminal and run:
python3 -m venv venvThis will create a new directory named venv containing a copy of the Python interpreter and related files.
Activating the Virtual Environment
You need to activate the virtual environment to use it. The activation command varies by operating system:
macOS and Linux
source venv/bin/activateYour terminal prompt should now be prefixed with (venv), indicating that the virtual environment is active.
Windows
.\venv\Scripts\activateSimilarly, your command prompt will be prefixed with (venv).
Using the Virtual Environment
Once activated, any Python packages you install using pip will be installed within this isolated environment and won't affect your global Python installation or other projects.
Deactivating the Virtual Environment
To exit the virtual environment, simply run:
deactivateYour terminal prompt will return to normal.
Why Use Virtual Environments?
- Isolation: Prevents dependency conflicts between projects.
- Reproducibility: Makes it easier to share your project with consistent dependencies.
- Cleanliness: Keeps your global Python installation tidy.
For managing the packages within your virtual environment, see our Managing Dependencies guide.