To see Python-specific templates, either search on "Python" or select the Installed > Python node: To use a template, select the File > New > Project menu command or right-click the solution in Solution Explorer and select Add > New Project, both of which bring up the New Project dialog below. Visual Studio gives you a number of ways to set up a Python project, either from scratch or from existing code. For more information, see Select an environment for a project. To change the active environment, right-click the desired environment in Solution Explorer and select Activate Environment as shown below. You can also use the environments drop-down control on the toolbar to select and environment or add another one to the project. To associate the project with a different environment (including virtual environments), right-click the Python Environments node in the project, select Add Environment., and select the ones you want. To change it, right-click the new file and select Set as Startup Item (or Set as Startup File in older versions of Visual Studio).Ī new project is always associated with the default global Python environment. The startup file is the file that's run when you start debugging ( F5 or Debug > Start Debugging) or when you run your project in the Interactive window ( Shift+ Alt+ F5 or Debug > Execute Project in Python Interactive). You can explore these options with a test project to learn what's available in your version of Visual Studio.Įach Python project has one assigned start-up file, shown in boldface in Solution Explorer. As described on the item templates reference, options include empty Python files, a Python class, a unit test, and various files related to web applications. Adding such files is done by right-clicking the project and selecting Add > Existing Item with which you browse for a file to add, or Add > New Item, which brings up a dialog with a variety of item templates. Add files, assign a startup file, and set environmentsĪs you develop your application, you typically need to add new files of different types to the project. It's a simple matter to create a Visual Studio project from existing code, as described in Create a project from existing files. Furthermore, Visual Studio analyzes all files and packages in the folder from which the single file is opened, which could consume considerable CPU time. #And reference to python in visual studio codeBecause such code always uses the default global environment, however, you may see incorrect completions or errors if the code is meant for a different environment. For example, you can open a Python file by itself and enjoy auto-complete, IntelliSense, and debugging (by right-clicking in the editor and selecting Start with Debugging). Without a project, all versions of Visual Studio work well with Python code. Visual Studio provides a variety of Python project templates to quickly set up a number of application structures, including a template to create a project from an existing folder tree and a template to create a clean, empty project. (For a general discussion, see Solutions and projects in Visual Studio.) With this relationship, Visual Studio automatically builds the C++ project (if necessary) when you start debugging the Python project. For example, a Python project can reference a C++ project that implements an extension module. In addition, projects are always managed within a Visual Studio solution, which can contain any number of projects that might reference one another. pyproj file) identifies all the source and content files associated with your project, contains build information for each file, maintains the information to integrate with source-control systems, and helps you organize your application into logical components. A Visual Studio project helps manage this complexity. Python applications are typically defined using only folders and files, but this structure can become complex as applications become larger and perhaps involve auto-generated files, JavaScript for web applications, and so on.
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