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  1. Apr 18, 2024 · An alternate approach is to install standard Python interpreters by using the Add Environment feature in Visual Studio. This option is available in the Python Environments window and the Python toolbar. Python interpreters can also be installed manually outside of the Visual Studio Installer. Suppose you install Anaconda 3 before you install ...

  2. Apr 18, 2024 · To prepare for the exercise, follow these steps to update your Python project file to include the necessary code: Open your Python project file (.py) in the editor. (Tutorial Step 2 explains how to create this file, where the default file name is PythonApplication1.py.) Replace the code in the file with the following code.

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  3. Apr 18, 2024 · The environments that Visual Studio knows about are displayed in the Python Environments window. To open the window, use one of the following methods: Select View > Other Windows > Python Environments. Right-click the Python Environments node for a project in Solution Explorer and select View All Python Environments.

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  4. Jun 10, 2020 · You need to select a Python Interpreter before you start debugging. Tip: click on "Select Python Interpreter" in the status bar." When I go to the bar there are no interpreters available. When I try on someone else's laptop it shows the interpreters. Python is already in the PATH.

  5. 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 .

  6. May 9, 2021 · To install them, follow these steps: In Visual Studio’s View menu, select View>Other windows>Python environments. This should open a panel on the right that looks like this: Don’t worry if your panel doesn’t look exactly like this; the Python environments listed depend on how many you have installed. If you installed Visual Studio with ...

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  8. The Python extension automatically detects existing conda environments. We recommend you install a Python interpreter into your conda environment, otherwise one will be installed for you after you select the environment. For example, the following command creates a conda environment named env-01 with a Python 3.9 interpreter and several libraries:

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