Why you should care about Virtual Environments?
Isolation provides reliability and reproducibility during deployments. Python enables a virtual environment to isolate application packages from system packages.
Let us imagine we are building a product that requires
NumPy packages, one using version 2.2 and the other using version 3.5. If we use system-wide packages, one version will override another version. We do not want this kind of behavior during development or deployment.
Basically, setting up virtual environments is the best way to isolate different Python projects, especially if these projects have different and conflicting dependencies. As a piece of advice for new Python programmers, always set up a separate virtual environment for each Python project, and install all the required dependencies inside it — never install packages globally.
Isolation provides reliability and reproducibility during deployments. The virtual environment also helps during deployment as you might not have access to system-wide packages.
How do I can check for global packages
You can run
pip list command to get the list of packages. It enables you to monitor system-wide packages to avoid any future conflicts.
Working with virtual environment
Python provides a in-built way to create and activate virtual environment.
Creating a Python Virtual Environment
First make a project folder, and create a virtual environment inside it. To do so, open the terminal app, write the following command, and hit return.
mkdir virtual-environment-sample && cd virtual-environment-sample
Run following command to create virtual environment:
python3 -m venv virtual-environment-sample-venv
This command will create folder named
virtual-environment-sample-env in current directory. This folder contains
bin folder in order to activate virtual enviroment. Let’s activate it using following command:
After activation, your command prompt should look similiar. Congrates you have activated the virtual enviroment succesfully.
(virtual-environment-sample-env) //removed for clarity
Installing Packages in a Virtual Environment
We are now inside an isolated virtual environment where only pip and setup tools are installed by default. Let’s check the pre-installed packages on the virtual environment by running the
pip list command.
Note: Any changes to current setup will only affect current project, it has no knowledge of system wide packages.
Let us upgrade
pip to test this theory. First let us check python version
pip using following commands:
python -m pip install --upgrade pip
If you compare
pip in system-wide packages and application packages, both are of different version. This is really great for development as I can develop software in isolation.
Deactivating a Python Virtual Environment
Once you are done working with a virtual environment, or you want to switch to another virtual environment, you can deactivate an environment by running this command:
Python virtual environment is a very simple to isolate dependencies. There are other open source project which do the same thing e.g. conda, poetry. We will discuss this in future too.
https://docs.python.org/3/library/venv.html https://docs.conda.io/en/latest/miniconda.html https://python-poetry.org/