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The Python extension makes VS Code an excellent Python editor, works on any operating system, and is usable with a variety of Python interpreters.
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The Python extension makes Visual Studio Code an excellent Python editor, works on any operating system, and is usable with a variety of Python interpreters.
-[Python extension](https://marketplace.visualstudio.com/items?itemName=ms-python.python) from the VS Code Marketplace
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To further customize VS Code for Python, you can leverage the [Python profile template](https://code.visualstudio.com/docs/editor/profiles#_python-profile-template), automatically installing recommended extensions and settings. For Data Science projects, consider using the [Data Science profile template](https://code.visualstudio.com/docs/editor/profiles#_data-science-profile-template).
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To further customize VS Code for Python, you can leverage the [Python profile template](/docs/editor/profiles.md#python-profile-template), automatically installing recommended extensions and settings. For Data Science projects, consider using the [Data Science profile template](/docs/editor/profiles.md#data-science-profile-template).
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## How to create and open a Python project or file
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If you have an existing Python project you wish to work on in VS Code, you can begin by opening your folder or file from the VS Code welcome page or Explorer panel, or by selecting **File > Open Folder** (`kb(workbench.action.files.openFolder)`) or **File > Open File** (`kb(workbench.action.files.openFile)`).
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If you have an existing Python project you wish to work on in VS Code, you can begin by opening your folder or file from the VS Code Welcome page or File Explorer view, or by selecting **File > Open Folder** (`kb(workbench.action.files.openFolder)`) or **File > Open File** (`kb(workbench.action.files.openFile)`).
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You can create a new Python files by selecting **New File**in the VS Code Welcome page and select **Python file**, or navigating to **File > New File** (`kb(workbench.action.files.newFile)`).
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You can create a new Python file by selecting **New File**on the VS Code Welcome page and then selecting **Python file**, or by navigating to **File > New File** (`kb(workbench.action.files.newFile)`).
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> **Tip:** If you already have a workspace folder open in VS Code, you can add new files or folders directly into your existing project. You can create new folders and file by clicking the icons on the top level folder in the Explorer panel.
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> **Tip:** If you already have a workspace folder open in VS Code, you can add new files or folders directly into your existing project. You can create new folders and files by using the corresponding **New Folder** or **New File**icons on the top level folder in the File Explorer view.
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## UI Tour
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When you launch VS Code for the very first time, you will need to install the Python extension to get Pythonspecific features and UI. Let’s look at the UI once the Python extension is installed.
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When you launch VS Code for the very first time, you will need to install the Python extension to get Python-specific features and UI. Let’s look at the UI after installing the Python extension:
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## Code Actions
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Code Actions (also known as Quick Fixes) are provided when there are Warnings or Errors to help fix issues you may be experiencing in your code. These helpful hints are displayed in the editor left margin as a lightbulb (💡). Click on the light bulb to display Code Action options which can come from extensions such as Python, Pylance, or VS Code itself. For more information about Code Actions, see [Python Quick Fixes](https://code.visualstudio.com/docs/python/editing#_quick-fixes).
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Code Actions (also known as Quick Fixes) are provided to help fix issues when there are warnings in your code. These helpful hints are displayed in the editor left margin as a lightbulb (💡). Select the light bulb to display Code Action options. These Code Action can come from extensions such as Python, Pylance, or VS Code itself. For more information about Code Actions, see [Python Quick Fixes](/docs/python/editing.md#quick-fixes).
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## Python Commands
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## Python commands
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Python commands can be accessed through the [Command Palette](https://code.visualstudio.com/docs/getstarted/userinterface#_command-palette) (`kb(workbench.action.showCommands)`). From the Command Palette, you have access to various features from VS Code as well as installed extensions. Begin typing **“Python: “** to locate the commands accessible through the Python extension.
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Python commands can be accessed through the [Command Palette](/docs/getstarted/userinterface.md#_command-palette) (`kb(workbench.action.showCommands)`). From the Command Palette, you have access to various features from VS Code and installed extensions. Enter **“Python: “**in the Command Palette to find the commands available through the Python extension.
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@@ -58,7 +58,7 @@ Now that you are more familiar with Python in VS Code, let’s learn how to run,
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There are a few ways to run Python code in VS Code.
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To run the Python script you have open on the editor, click the **Run Python File in Terminal** play button in the top-right of the editor.
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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.
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@@ -72,24 +72,24 @@ The debugger is a helpful tool that allows you to inspect the flow of your code
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To start debugging, initialize the debugger by pressing `F5`. Since this is your first time debugging this file, a configuration menu will open allowing you to select the type of application you want to debug. If it's a Python script, you can select "Python File".
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To start debugging, initialize the debugger by pressing `kbstyle(F5)`. Since this is your first time debugging this file, a configuration menu will open allowing you to select the type of application you want to debug. If it's a Python script, you can select **Python File**.
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Once your program reaches the breakpoint, it will stop and allow you to track data in the Python Debug console, and progress through your program using the debug toolbar.
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For a deeper dive into Python debugging functionality, see [Python debugging in VS Code](https://code.visualstudio.com/docs/python/debugging).
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For a deeper dive into Python debugging functionality, see [Python debugging in VS Code](/docs/python/debugging.md).
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### Test
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The Python extension provides robust testing support for [Unittest](https://docs.python.org/3.3/library/unittest.html) and [pytest](https://pytest.org/en/7.4.x/).
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You can configure Python tests through the Test Panel on the Activity Bar by selecting **Configure Python Tests** and selecting your test framework of choice.
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You can configure Python tests through the Testing view on the Activity Bar by selecting **Configure Python Tests** and selecting your test framework of choice.
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You can also create tests for your Python project, which the Python extension will attempt to discover once your framework of choice is configured. The Python extension also allows you to run and debug your tests in the Testing view and inspect the test run output in the Test Results panel.
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For a comprehensive look at testing functionality, see [Python testing in VS Code](https://code.visualstudio.com/docs/python/testing).
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For a comprehensive look at testing functionality, see [Python testing in VS Code](/docs/python/testing.md).
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