Skip to content

Latest commit

 

History

History
40 lines (33 loc) · 1.36 KB

README.md

File metadata and controls

40 lines (33 loc) · 1.36 KB

Virtual Environment

A virtual environment in Python is an isolated, self-contained workspace where you can work on your Python projects separately from your system-installed Python.

  • A virtual environment ensures that the Python interpreter, libraries, and scripts installed within it are isolated from those in other virtual environments and the system-wide Python installation.
  • By default, any libraries installed in a system Python won’t interfere with those in your virtual environment.
  • Virtual environments allow you to maintain project-specific dependencies and configurations.
  • You can create separate environments for different projects, ensuring that packages installed for one project don’t affect others.
  • It’s especially useful when working on multiple projects with different requirements.

Create and Activate

Windows

Create

py -m venv my_virtual_env_name

Activate

my_virtual_env_name\Scripts\activate

Unix/MacOS

Create

python -m venv my_virtual_env_name

Activate

source my_virtual_env_name/bin/activate

NOTE: Python command may not found on some OS, there if Python is installed then used Python3 instead of Python.

Study material