How to create virtual environments with venv and conda in Python
Learn to build a modern Python development
Virtual environments are very commonly used in modern Python development because they can provide isolated environments for running Python code. You can create different virtual environments for different projects, or even for different versions of the same project. The libraries installed in one environment are isolated from those of the system and also those of any other project. Moreover, you can install different Python versions in the environments. In this article, the two most common methods, namely venv and conda will be introduced. You will learn how to create and manage virtual environments from simple but useful code snippets.
How to use venv to create virtual environments in Python?
The first tool is venv, which is a built-in and lightweight module for creating virtual environments in Python. To proceed with the code examples, you should have a modern version of Python installed, preferably newer than Python3.8. With the latest version of Python, you don’t need to install the venv library by yourself. However, since many operating systems don’t have the latest Python installed, you would need to install venv by yourself. In case you have such problems you need to run the following commands (on Linux).
