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Python virtual environments are a powerful tool for managing dependencies and isolating project-specific packages. Visual Studio Code (VSCode) provides seamless integration with virtual environments, allowing you to create, activate, and manage them directly from the editor. This tutorial will guide you through the process of using Python virtual environments in Visual Studio Code.
Before we begin, make sure you have the following installed:
Open Visual Studio Code and create a new folder for your Python project.
Open the folder in VSCode:
Open the integrated terminal in VSCode (Ctrl + or View - Terminal) and navigate to your project folder.
Create a new Python virtual environment using the following command:
This command creates a virtual environment named venv in your project folder.
Once the virtual environment is created, you need to activate it. In the integrated terminal, use the appropriate command based on your operating system:
On Windows:
On macOS/Linux:
You should see the virtual environment's name in your terminal prompt, indicating that it is active.
With the virtual environment activated, you can install Python packages using pip. For example, let's install the requests library:
This command installs the requests library only in the current virtual environment.
VSCode can automatically detect and use the Python interpreter from your virtual environment. To ensure proper integration:
Open the Command Palette (Ctrl + Shift + P) and type "Python: Select Interpreter."
Choose the interpreter associated with your virtual environment (e.g., ./venv/bin/python).
VSCode will now use the selected interpreter for your Python project.
Write a simple Python script in VSCode, for example, main.py:
Make sure your virtual environment is activated.
Run the script by right-clicking in the editor and selecting "Run Python File in Terminal" or use the shortcut Ctrl + F5.
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