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  1. In this tutorial, you will learn how to use Python 3 in Visual Studio Code to create, run, and debug a Python "Roll a dice!" application, work with virtual environments, use packages, and more! By using the Python extension, you turn VS Code into a great, lightweight Python editor.

  2. 9 sty 2019 · I have been using Visual Studio Code for a while now and found an another way to show virtual environments in Visual Studio Code. Go to the parent folder in which venv is there through a command prompt. Type code . and Enter.

  3. To create local environments in VS Code using virtual environments or Anaconda, you can follow these steps: open the Command Palette (⇧⌘P (Windows, Linux Ctrl+Shift+P)), search for the Python: Create Environment command, and select it. The command presents a list of environment types: Venv or Conda.

  4. Select the Run Python File in Terminal play button in the top-right of the editor. Select one or more lines, then press Shift+Enter, or right-click and select Run Selection/Line in Python Terminal. This option is convenient for testing just a part of a file. Place your cursor on a line of code and press Shift+Enter to activate Smart Send.

  5. 4 wrz 2019 · This tutorial uses a simple Python project to demonstrates the VS Code setup for Python development on Windows 10, Windows Subsystem for Linux, remote Linux, and Raspbian on Raspberry Pi.

  6. Install Visual Studio Code. Discover and install extensions that make Python development easy. Write a straightforward Python application. Learn how to run and debug existing Python programs in VS Code. Connect Visual Studio Code to Git and GitHub to share your code with the world.

  7. 18 kwi 2024 · 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. Step 5: Install packages and manage Python environments. Step 6: Work with Git.

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