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  1. Visual Studio Code (VS Code) is a powerful and versatile code editor that, when combined with the Microsoft Python extension, becomes an excellent environment for Python development. This setup provides features such as auto-completion, IntelliSense, linting, debugging, and the ability to manage virtual environments and packages.

    Setting Up Python in VS Code

    To get started with Python in VS Code, follow these steps:

    1. Install Python: Download and install Python from python.org. Ensure you check the "Add Python to PATH" option during installation.

    2. Install VS Code: Download and install Visual Studio Code from code.visualstudio.com.

    3. Install the Python Extension: Open VS Code, go to the Extensions view by clicking the Extensions icon in the Activity Bar or pressing Ctrl+Shift+X (Cmd+Shift+X on macOS). Search for "Python" and install the official Microsoft Python extension.

    Creating and Running Python Code

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  2. How to install Python Libraries in Visual Studio Code

    May 30, 2024 · This guide gives you the knowledge and skills to confidently install, manage, and troubleshoot Python Libraries within Visual Studio Code. You’ve learned the importance of virtual environments for keeping your projects …

  3. Python in Visual Studio Code

    For a quick install, use Python from python.org and install the extension from the VS Code Marketplace. Note: To help get you started with Python development, you …

    • Software Version: 1.98
    • Tutorial Step 5: Install Packages in Python Environment

      Jul 31, 2025 · Explore step 5 of a tutorial about Python capabilities in Visual Studio that shows how to manage and install packages in a Python environment.

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      In this installment we will show how to create a Python virtual environment, install third party packages with pip. In addition we will show how to make the project in to a package in order to avoid errors …

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    • How To Install Python Modules In Visual Studio Code?

      Mar 1, 2024 · Python modules are individual files containing Python code that can be reused across multiple projects. Packages are directories containing multiple related modules. This modularity promotes code reusability, reducing …