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  1. Start VS Code in a workspace folder. By starting VS Code in a folder, that folder becomes your "workspace". Using a command prompt or terminal, create an empty folder called "hello", navigate into it, and open VS Code (code) in that folder (.) by entering the following commands: mkdir hello cd hello code . Copy.

  2. Working with Python in Visual Studio Code, using the Microsoft Python extension, is simple, fun, and productive. The extension makes VS Code an excellent Python editor, and works on any operating system with a variety of Python interpreters. It leverages all of VS Code's power to provide auto complete and IntelliSense, linting, debugging, and ...

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  3. To run the Python script you have open on the editor, select the Run Python File in Terminal play button in the top-right of the editor. There are also additional ways you can iteratively run snippets of your Python code within VS Code: Select one or more lines, then press Shift+Enter or right-click and select Run Selection/Line in Python Terminal.

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    • Overview
    • Prerequisites
    • Step 1: Create a new Python project
    • Review elements in Solution Explorer
    • Related content

    In this tutorial, you learn how to work with Python in Visual Studio. Python is a popular programming language that's reliable, flexible, easy to learn, and free to use on all operating systems. Python is supported by a strong developer community and many free libraries. The language supports all kinds of development, including web applications, web services, desktop apps, scripting, and scientific computing. Many universities, scientists, casual developers, and professional developers use Python. Visual Studio provides first-class language support for Python.

    This tutorial guides you through a six-step process:

    •Step 1: Create a Python project (this article)

    •Step 2: Write and run code to see Visual Studio IntelliSense at work

    •Step 3: Create more code in the Interactive REPL window

    •Step 4: Run the completed program in the Visual Studio debugger

    Visual Studio with the Python workload installed. For instructions, see Install Python tools for Visual Studio.

    A project is how Visual Studio manages all the files that come together to produce a single application. Application files include source code, resources, and configurations. A project formalizes and maintains the relationships among all the project's files. The project also manages external resources that are shared between multiple projects. A project allows your application to effortlessly expand and grow. Using projects is easier than managing relationships by hand in unplanned folders, scripts, text files, and your memory.

    This tutorial begins with a simple project containing a single, empty code file.

    1.In Visual Studio, select File > New > Project to open the New Project dialog. You can also use the keyboard shortcut Ctrl+Shift+N. In the dialog, you can browse templates across different languages, select a template for your project, and specify where Visual Studio places files.

    2.To view Python templates, select Installed > Python on the left menu, or search for "Python." The search option is a great way to find a template when you can't remember its location in the languages tree.

    Python support in Visual Studio includes several project templates, including web applications using the Bottle, Flask, and Django frameworks. For the purposes of this walkthrough, however, let's start with an empty project.

    3.Select the Python Application template, specify a name for the project, and select OK.

    Take some time to familiarize yourself with Solution Explorer, where you can browse files and folders in your project.

    •(1) At the top level is the solution, which by default has the same name as your project. A solution, which is shown as an .sln file on disk, is a container for one or more related projects. For example, if you write a C++ extension for your Python application, that C++ project can be in the same solution. The solution might also contain a project for a web service, and projects for dedicated test programs.

    •(2) Your project is highlighted in bold and uses the name you entered in the Create a new project dialog. On disk, this project is represented by a .pyproj file in your project folder.

    •(3) Under your project you see source files. In this example, you have only a single .py file. Selecting a file displays its properties in the Properties window. If you don't see the Properties window, select the wrench icon in the Solution Explorer banner. Double-clicking a file opens it in whatever way is appropriate for that file.

    •(4) Also under the project is the Python Environments node. Expand the node to show the available Python interpreters.

    •(5) Expand an interpreter node to see the libraries installed in that environment.

    •Python projects in Visual Studio

    •Learn about the Python language on python.org

  4. Apr 10, 2020 · Step 1 — Running Python From the Built-in Terminal. With Python installed and your local programming environment set up, open Visual Studio Code. Inside of Visual Studio Code, open the directory you’re working in by going to File -> Open and selecting the directory. After that, you’ll see your folder open in the explorer window on the left.

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  5. As stated above, VS Code supports development in multiple programming languages through a well-documented extension model. The Python extension enables Python development in Visual Studio Code, with the following features: Support for Python 3.4 and higher, as well as Python 2.7. Code completion with IntelliSense.

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  7. Feb 6, 2023 · Save the file using Ctrl + S. Select the file directory and type the file name. Make sure to add `.py` at the end of the file name. Select the interpreter. To run the Python file, we need to select the Python interpreter. By default, the Anaconda environment comes with Python version 3.9.13. Run a Python file.

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