


Python Virtual Environments: Why You Need Them and How to Use Them
Python virtual environment Venv: Your project development weapon
If you are learning Python development, you may have heard of "virtual environment". At first, it may sound a little mysterious, but believe me, this small tool will become your best friend. Let us understand its importance, how to use, and the possibility it brings.
What is virtual environment (VENV)?
The virtual environment is like the private work area of your Python project. It is an isolated environment, you can be in it:
- Install a specific package of the project without messing up your global Python installation.
- Different versions of the same package in different projects (because compatibility issues are the nightmares of developers).
- Maintain the dependence of the project clean and orderly.
Imagine, you are dealing with two Python projects:
- Project A requires Django 4.0.
- Project B needs Django 3.2.
Without a virtual environment, installing these two versions on the same machine will cause confusion.
With the virtual environment, you can switch between them seamlessly!
Source
Are you ready to set your first virtual environment? Please follow the steps below:
1. Install Venv
Most Python installation contains VENV, but if not, please use the following commands to install:
2. Create a virtual environment
<code>sudo apt install python3-venv</code>
Enter your project directory and create a virtual environment:
Here, is the name of your virtual environment. You can name it at will.
<code>python3 -m venv venv</code>
venv
You will know that it has been activated because your terminal prompt will be changed to similar content:
4. Install dependency item
<code>source venv/bin/activate</code>
Now, you can install the package specific to your project:
<code>(venv) lovestaco@i3nux-mint:~$</code>
6. Disable the environment
After the completion, the disable environment:
<code>pip install flask</code>
You will return to your system Python! What can VENV do?
The possibility is infinite! Here are some ideas:
<code>deactivate</code>
: Try a new library or framework without worrying about destroying your system settings.
Test
: Use different versions of Python or dependent items to test your code.Easy collaboration
- : Share a
- file with your team so that everyone can set the same environment.
- Your teammates can use the following command to re -create the environment:
<code>sudo apt install python3-venv</code>
Copy after loginCopy after login- deployment project : Virtual environment makes it easier to deploy your project to the server or container.
The virtual environment is a simple and powerful tool, and each Python developer should use it.
Just a few commands, you can create, activate and manage the isolation Python environment for your project.
So, next time you start a Python project, remember to start a virtual environment.
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If you are tired of creating a document for your API, this tool may make your life easier.
The above is the detailed content of Python Virtual Environments: Why You Need Them and How to Use Them. For more information, please follow other related articles on the PHP Chinese website!

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