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Merge pull request #2424 from kraigb/kraigb-feedback
Add a few links to App Service deploy
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docs/python/python-django-web-application-project-template.md

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---
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title: Django web project template for Python
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description: An overview of the Visual Studio templates for web applications written in Python using the Django framework.
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ms.date: 04/17/2018
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ms.date: 07/03/2018
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ms.prod: visual-studio-dev15
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ms.technology: vs-python
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ms.topic: conceptual
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## See also
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- [Learning Django tutorial](learn-django-in-visual-studio-step-01-project-and-solution.md)
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- [Learning Django tutorial](learn-django-in-visual-studio-step-01-project-and-solution.md)
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- [Publishing to Azure App Service](publishing-python-web-applications-to-azure-from-visual-studio.md)

docs/python/python-web-application-project-templates.md

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title: Web application templates for Python
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description: An overview of the Visual Studio templates for web applications written in Python using the Bottle, Flask, and Django frameworks, including debugging configurations and publishing to Azure App Service.
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ms.date: 05/18/2018
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ms.date: 07/03/2018
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ms.prod: visual-studio-dev15
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You can also use the generic "Web Project" template for other frameworks such as Pyramid. In this case, no frameworks are installed with the template. Instead, install the necessary packages into the environment you're using for the project (see [Managing Python environments](managing-python-environments-in-visual-studio.md)).
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For information on deploying a Python web app to Azure, see [Publishing to Azure App Service](publishing-python-web-applications-to-azure-from-visual-studio.md).
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## Using a project template
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You create a project from a template using **File** > **New** > **Project**. To see templates for web projects, select **Python** > **Web** on the left side of the dialog box. Then select a template of your choice, providing names for the project and solution, set options for a solution directory and Git repository, and select **OK**.

docs/python/working-with-c-cpp-python-in-visual-studio.md

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[fast_tanh(x) for x in d] took 0.158 seconds
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```
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If the **Start Without Debugging** command is disabled, right-click the Python project in Solution Explorer and select **Set as Startup Project**.
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1. Try increasing the `COUNT` variable so that the differences are more pronounced. A Debug build of the C++ module also runs slower than a Release build because the Debug build is less optimized and contains various error checks. Feel free to switch between those configurations for comparison.
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## Debug the C++ code

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