How can an isolated environment be created for running Python projects?

To create an isolated environment for Python projects, virtual environments are usually used. They allow you to install project dependencies locally without affecting global Python packages and other projects.

The most common way is to use the venv module, which is included in the Python standard library (starting from version 3.3):

python -m venv myenv

This will create a folder myenv with an isolated environment. To activate it:

• On Windows:

  myenv\Scripts\activate
  

• On Unix/Linux/macOS:

  source myenv/bin/activate
  

After activation, you can install packages using pip, and they will be installed only in this environment.

Alternatives:

• virtualenv — a third-party tool for creating virtual environments.
• conda — an environment and package manager, often used in scientific projects.

Using virtual environments helps avoid library version conflicts and simplifies dependency management.