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- #GETTING STARTED WITH PYTHON IN VISUAL STUDIO CODE HOW TO#
- #GETTING STARTED WITH PYTHON IN VISUAL STUDIO CODE FULL#
You can view the local project files in the Explorer. Using this information, Visual Studio Code generates an Azure Functions project with an HTTP trigger. Select how you would like to open your project: Choose Add to workspace. To learn about authorization level, see Authorization keys. Provide a function name: Type HttpExample.Īuthorization level: Choose Anonymous, which enables anyone to call your function endpoint. Select a template for your project's first function: Choose HTTP trigger.
#GETTING STARTED WITH PYTHON IN VISUAL STUDIO CODE FULL#
If the location isn't shown, type in the full path to your Python binary. Select a Python alias to create a virtual environment: Choose the location of your Python interpreter. Select a language for your function project: Choose Python. Provide the following information at the prompts: In this case, do not select a project folder that is part of a workspace. These steps were designed to be completed outside of a workspace. It is recommended that you create a new folder or choose an empty folder as the project workspace. icon.Ĭhoose a directory location for your project workspace and choose Select. Later in this article, you'll publish your function code to Azure.Ĭhoose the Azure icon in the Activity bar, then in the Azure: Functions area, select the Create new project. In this section, you use Visual Studio Code to create a local Azure Functions project in Python. The Azure Functions extension for Visual Studio Code. The Python extension for Visual Studio Code. Visual Studio Code on one of the supported platforms.
#GETTING STARTED WITH PYTHON IN VISUAL STUDIO CODE HOW TO#
For more information, see How to install Python. Python versions that are supported by Azure Functions.
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The Azure Functions Core Tools version 3.x. Configure your environmentīefore you get started, make sure you have the following requirements in place:Īn Azure account with an active subscription.
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There's also a CLI-based version of this article. After testing the code locally, you deploy it to the serverless environment of Azure Functions.Ĭompleting this quickstart incurs a small cost of a few USD cents or less in your Azure account. In this article, you use Visual Studio Code to create a Python function that responds to HTTP requests.