Python virtual environments are isolated environments that allow you to manage dependencies for different Python projects separately. This is particularly useful when working on multiple projects that may require different versions of libraries or frameworks. By using a virtual environment, you can avoid conflicts between dependencies, ensuring that each project has access to the specific versions it needs without interference from others.

A virtual environment can be thought of as a dedicated folder that contains all the necessary dependencies for a particular project. This means that when you install packages or modules, they are stored within this folder, keeping them separate from the global Python installation and other virtual environments. This isolation helps maintain a clean development environment and simplifies the management of project-specific requirements ¹³.

To create a virtual environment, you can use tools like venv or virtualenv, which are built into Python. Once created, you can activate the environment and install the required packages using package managers like pip.