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  1. Apr 18, 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.

  2. Jul 7, 2018 · I have Visual Studio Express installed and have tried to build Python from the source. So far I did this: Downloaded the source from GitHub. run cpython\PCbuild\build.bat as suggested in the documentation (I see nothing saying how to build x64 bit) Waited.

  3. Apr 18, 2024 · As an option, you can choose to install the 32-bit or 64-bit version of Python 2 or Python 3, along with Miniconda (Visual Studio 2019) or Anaconda 2/Anaconda 3 (Visual Studio 2017). The steps for this type of installation are described in Install Python support in Visual Studio.

  4. Sep 13, 2024 · Common options include 32-bit and 64-bit variants of Python 2, Python 3, Miniconda, Anaconda 2, and Anaconda 3. Each option includes the distribution's interpreter, runtime, and libraries. Anaconda, specifically, is an open data science platform that includes a wide range of preinstalled packages.

  5. Python code insights. Visual Studio IDE analyzes your code to make suggestions. Manage 3rd party libraries. Interativey debug on Windows and Linux. Much more!

  6. 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.

  7. 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.

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