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A virtual environment is a self-contained directory that contains a specific Python interpreter and its associated standard library. It allows you to create isolated environments for different projects, preventing conflicts between dependencies. In this tutorial, we will guide you through creating a virtual environment with a specific Python version using the venv module.
Open your terminal or command prompt. This tutorial assumes you are familiar with basic command-line operations.
Change to the directory where you want to create your virtual environment. Use the cd command to navigate:
Replace "path/to/your/project" with the actual path to your project directory.
To create a virtual environment with a specific Python version, use the following command:
Replace "python3.8" with the desired Python version, and "venv_name" with a name for your virtual environment.
For example, to create a virtual environment named "my_env" with Python 3.8, use:
This command will create a new directory called "my_env" in your project folder, containing the isolated Python environment.
Activate the virtual environment using the appropriate command for your operating system:
On Windows:
On macOS/Linux:
After activation, your command prompt or terminal should show the virtual environment name.
To verify that you are using the correct Python version within the virtual environment, use the following command:
This should display the Python version you specified when creating the virtual environment.
You have successfully created a virtual environment with a specific Python version using the venv module. This isolated environment allows you to manage dependencies for your project without affecting the system-wide Python installation. Remember to activate the virtual environment whenever you work on your project.
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