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Title: Changing Python Version in VSCode Terminal: A Step-by-Step Tutorial
Introduction:
Visual Studio Code (VSCode) is a popular integrated development environment (IDE) for Python development. It allows developers to seamlessly switch between different Python versions within the terminal. This tutorial will guide you through the process of changing the Python version in the VSCode terminal using virtual environments.
Prerequisites:
Step 1: Open your Python project in VSCode
Open Visual Studio Code and navigate to your Python project by using the "File" - "Open Folder" option.
Step 2: Create a virtual environment
Open the VSCode terminal by selecting "View" - "Terminal" or by using the shortcut Ctrl + .
Create a virtual environment in your project directory by running the following commands in the terminal:
This command creates a virtual environment named "venv" in your project folder.
Step 3: Activate the virtual environment
Activate the virtual environment by running the appropriate command based on your operating system:
For Windows:
For macOS/Linux:
You should see the virtual environment's name in the terminal prompt, indicating that it is activated.
Step 4: Install Python packages (Optional)
If your project has specific dependencies, install them using the following command:
Replace requirements.txt with the actual name of your requirements file.
Step 5: Configure VSCode to use the virtual environment
To make sure VSCode uses the correct Python interpreter, update the settings.json file. Click on the gear icon at the bottom of the sidebar and select "Settings." Search for "Python: Default Interpreter" and set it to the path of your virtual environment's Python executable. Save the changes.
Step 6: Verify the Python version
In the terminal, run the following command to verify that you are using the correct Python version:
You should see the version number of the Python interpreter within the virtual environment.
Conclusion:
By following these steps, you can easily switch between Python versions in the VSCode terminal using virtual environments. This approach helps manage dependencies and ensures a consistent development environment for your Python projects.
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