Based on the official documentation, a virtual environment is a Python environment in which the Python interpreter, libraries, and scripts installed are isolated from those installed in other virtual environments, and, by default, any libraries installed in a Python “system”, i.e., one that is installed as part of your operating system.
In this shot, I’ll explain what virtual environments are and why we use them. I’ll also show you a straightforward way to create a virtual environment.
A virtual environment can be seen as a completely new computer, inside your computer, that is free from any dependencies and made specifically to run Python code.
It can also be thought of as a sandbox or a container created to isolate specific Python dependencies installed into it so that they do not interfere with others that may also be installed on your machine, and vice versa.
At their core, virtual environments were created to provide an isolated Python environment where dependencies of a particular project can be installed.
Python has its own way of storing packages and modules, which isn’t a problem for
Here is a straightforward way to create a virtual environment.
We’ll be making use of
To get started, navigate to your terminal and run the following:
pip install virtualenvwrapper
This should download the required package.
Next, create or navigate your project’s folder and run the
mkvirtualenv projectname command.
So, if I were to create a virtual environment with the name
pythonproject, it would be:
Doing so immediately creates a virtual environment for your Python project!
To confirm that the environment has been activated, you’ll see the name of the virtual environment in brackets at the left-hand side of the terminal, as shown below.
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