Vs Code Python

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            Vs Code Python

Python in Visual Studio Code (VS Code), it’s a straightforward process to set up and start coding. VS Code is a popular code editor that supports Python through extensions. Here’s a general guide on how to get started:

  1. Install Visual Studio Code: If you haven’t already, download and install VS Code from the official website.

  2. Install Python: Ensure you have Python installed on your computer. You can download it from the official Python website. Remember to add Python to your system path during installation.

  3. Install the Python Extension for VS Code:

    • Open VS Code.
    • Go to the Extensions view by clicking on the Extensions icon in the Activity Bar on the side of the window.
    • Search for ‘Python’ and find the extension by Microsoft.
    • Click ‘Install’ to install the Python extension.
  4. Open or Create a Python File:

    • Open an existing Python file or create a new one (File > New File, then save the file with the .py extension).
  5. Select Python Interpreter:

    • Press Ctrl+Shift+P to open the command palette.
    • Type “Python: Select Interpreter” and choose the Python version you want to use.
  6. Write and Run Python Code:

    • Write your Python code in the editor.
    • To run the code, use the green play button in the top right corner or right-click in the editor and select ‘Run Python File in Terminal’.
  7. Explore Other Features:

    • VS Code offers features like debugging, code linting, code completion, unit testing, etc., which you can explore as needed.

Remember, the Python extension also supports the use of virtual environments. If you work with virtual environments, you can select the interpreter from your virtual environment.

For more advanced usage, like debugging and unit testing, you might want to explore the official documentation or specific tutorials. VS Code also has a rich extension marketplace for additional tools and integrations.

Python Training Demo Day 1

You can find more information about Python in this Python Link

 

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