首先，你需要安装一个名为“代码运行器”的扩展 然后看看Visual Studio Code的右上角，你会看到运行按钮和 打击。 之后，你会在vs code的底部看到你的代码已经被执行。 您可以为“代码运行器”创建自己的键盘快捷键，以加快编码速度。

您可以添加一个自定义任务来完成此任务。下面是Python的一个基本自定义任务。

{
    "version": "0.1.0",
    "command": "c:\\Python34\\python",
    "args": ["app.py"],
    "problemMatcher": {
        "fileLocation": ["relative", "${workspaceRoot}"],
        "pattern": {
            "regexp": "^(.*)+s$",
            "message": 1
        }
    }
}

将其添加到文件任务中。并按Ctrl + Shift + B运行它。

为了扩展vlad2135的答案(阅读他的第一个);这就是如何在Visual Studio Code中使用Don Jayamanne的Python扩展来设置Python调试(这是目前Python的一个功能非常全面的IDE，并且可以说是Visual Studio Code中最好的语言扩展之一，我认为)。

基本上，当你点击齿轮图标时，它会创建一个启动。Json文件在你的工作空间的。vscode目录。您也可以自己做这个，但是让Visual Studio Code来做这些繁重的工作可能会更简单。下面是一个示例文件:

生成后，您会注意到一些很酷的东西。它自动创建了一堆配置(我的大部分配置都被切断了;只要滚动就能全部看到)，针对不同的库或环境(比如Django)有不同的设置和额外的功能。

你最终使用最多的可能是Python;这是一个简单的(在我的例子中是C)Python调试器，最容易使用设置。

我将对这个JSON属性做一个简短的介绍，因为其他的JSON属性使用几乎相同的配置，只是有不同的解释器路径和一两个不同的其他特性。

name: The name of the configuration. A useful example of why you would change it is if you have two Python configurations which use the same type of config, but different arguments. It's what shows up in the box you see on the top left (my box says "python" since I'm using the default Python configuration). type: Interpreter type. You generally don't want to change this one. request: How you want to run your code, and you generally don't want to change this one either. Default value is "launch", but changing it to "attach" allows the debugger to attach to an already running Python process. Instead of changing it, add a configuration of type attach and use that. stopOnEntry: Python debuggers like to have an invisible break-point when you start the program so you can see the entry-point file and where your first line of active code is. It drives some C#/Java programmers like me insane. false if you don't want it, true otherwise. pythonPath: The path to your install of Python. The default value gets the extension level default in the user/workspace settings. Change it here if you want to have different Pythons for different debug processes. Change it in workspace settings if you want to change it for all debug processes set to the default configuration in a project. Change it in user setting to change where the extension finds Pythons across all projects. (4/12/2017 The following was fixed in extension version 0.6.1). Ironically enough, this gets auto-generated wrong. It auto-generates to "${config.python.pythonPath}" which is deprecated in the newer Visual Studio Code versions. It might still work, but you should use "${config:python.pythonPath}" instead for your default first python on your path or Visual Studio Code settings. (4/6/2017 Edit: This should be fixed in the next release. The team committed the fix a few days ago.) program: The initial file that you debugger starts up when you hit run. "${workspaceRoot}" is the root folder you opened up as your workspace (When you go over to the file icon, the base open folder). Another neat trick if you want to get your program running quickly, or you have multiple entry points to your program is to set this to "${file}" which will start debugging at the file you have open and in focus in the moment you hit debug. cwd: The current working directory folder of the project you're running. Usually you'll just want to leave this "${workspaceRoot}". debugOptions: Some debugger flags. The ones in the picture are default flags, you can find more flags in the python debugger pages, I'm sure. args: This isn't actually a default configuration setting, but a useful one nonetheless (and probably what the OP was asking about). These are the command line arguments that you pass in to your program. The debugger passes these in as though they you had typed: python file.py [args] into your terminal; passing each JSON string in the list to the program in order.

有关Visual Studio Code文件变量的更多信息，可用于配置调试器和路径。

您可以到这里查看扩展自己的启动选项文档，包括可选属性和必选属性。

如果文件中没有配置模板，可以单击右下角的Add Configuration按钮。它将为您提供一个列表，以便为大多数常见的调试过程自动生成配置。

现在，根据vlad的回答，您可以按照正常的可视化调试器添加任何您需要的断点，在左上角的下拉菜单中选择您想要的运行配置，您可以点击配置名称左侧的绿色箭头来启动您的程序。

专业提示:团队中不同的人使用不同的ide，他们可能不需要您的配置文件。Visual Studio Code几乎总是把它的IDE文件放在一个地方(设计为这个目的;如果这是你第一次生成Visual Studio Code文件，请确保将.vscode/目录添加到你的.gitignore中(如果你还没有这个文件，这个过程将在你的工作空间中创建文件夹)!

我已经通过Anaconda安装了Python。

通过Anaconda启动Visual Studio Code，我能够运行Python程序。

然而，我找不到任何快捷方式(热键)直接运行.py文件。

(使用截至2019年2月21日的最新版本，带有Visual Studio Code附带的Python扩展。 链接:Visual Studio Code的Python扩展)

以下方法起了作用:

右键单击并选择“在终端中运行Python文件”对我来说很有用。 按Ctrl + A然后Shift + Enter(在Windows上)

下面的内容与@jdhao的内容类似。

这是我所做的获得热键:

Ctrl + Shift + B //运行构建任务 它提供了一个配置选项 我点击它以获得更多选项。我点击了其他配置 “任务。Json文件被打开

我让代码看起来像这样:

    {
        // See https://go.microsoft.com/fwlink/?LinkId=733558
        // for the documentation about the tasks.json format
        "version": "2.0.0",
        "tasks": [
            {
                "label": "Run Python File", //this is the label I gave
                "type": "shell",
                "command": "python",
                "args": ["${file}"]

保存后，文件变成这样:

    {
        // See https://go.microsoft.com/fwlink/?LinkId=733558
        // for the documentation about the tasks.json format
        "version": "2.0.0",
        "tasks": [
            {
                "label": "Run Python File",
                "type": "shell",
                "command": "python",
                "args": [
                    "${file}"
                ],
                "group": {
                    "kind": "build",
                    "isDefault": true
                }
            }
        ]
    }

保存文件` tasks。json'，转到你的Python代码并按下 Ctrl + Shift + B。 然后点击运行任务→运行Python文件//这是标签 你给。

现在，每当你按Ctrl + Shift + B, Python文件将自动运行并显示输出:)

注意:你必须在Visual Studio Code中安装Python Extension By Microsoft，并在左下角选择Python解释器。

Go to File → Preferences → Keyboard Shortcuts (alternatively, you can press Ctrl + K + S) In the search box, enter python.execInTerminal Double click that result (alternatively, you can click the plus icon) Press Ctrl + Alt + B to register this as the keybinding (alternatively, you can enter your own keybinding) Now you can close the Keyboard Shortcuts tab Go to the Python file you want to run and press Ctrl + Alt + B (alternatively, you can press the keybinding you set) to run it. The output will be shown in the bottom terminal tab.

我使用我现有的anaconda环境来运行python。而不是使用python用户appdata\local\programs\python使用anaconda install python by environment。这将使您能够访问环境中的所有库。

 1. View->Command Palette->Open user settings
 2. search python
 a. Python: default interpreter path = c:\users\yourname\Anaconda3\python.exe
 b. save the file
 3. View->Command Palette->python:select interpreter
 a. arrow down to your workspace name
 b. select your python and environment

 create a python script and run it.

 see https://code.visualstudio.com/docs/python/environments