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Certainly! Below is a tutorial on how to use Visual Studio 2017 to develop Python Azure Functions, including a code example.
Azure Functions allow you to build serverless applications effortlessly. Visual Studio provides a robust environment for developing Azure Functions, and with the release of the Python support, you can now create Python-based Azure Functions seamlessly.
Visual Studio 2017: Make sure you have Visual Studio 2017 installed on your machine.
Azure Functions Tools for Visual Studio: Install the Azure Functions Tools for Visual Studio through the Visual Studio Installer. This ensures that you have the necessary templates and tools for developing Azure Functions.
Azure Account: You'll need an Azure account to deploy and run your Azure Functions.
Open Visual Studio 2017.
Select "File" - "New" - "Project...".
In the "New Project" dialog, search for "Azure Functions" in the search box.
Choose "Azure Functions" from the list of project templates.
Select "Cloud" as the project type, and "Azure Functions" as the template. Choose Python as the runtime stack.
Click "Create" to create the project.
In the Solution Explorer, you'll find a file named __init__.py inside the FunctionApp folder. This file represents your Python Azure Function.
Open __init__.py and replace the default code with your Python function. For example:
Save the file.
Press F5 or select "Debug" - "Start Debugging" to run your function locally.
Once the function app is running, open your web browser and navigate to http://localhost:7071/api/YourFunctionName to test your function.
Right-click on the project in Solution Explorer.
Select "Publish" - "Azure Functions..."
Follow the prompts to publish your function to Azure. You'll need to sign in with your Azure account, select a subscription, and choose or create a Function App to host your function.
Once published, your function is now live on Azure, and you can access it via the provided URL.
Congratulations! You've successfully created a Python Azure Function using Visual Studio 2017. This function can be triggered by various events and is now ready to be integrated into your serverless applications.
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