For example, Flask doesn't provide a page template engine, but installing Flask includes the Jinja templating engine by default. The extensions integrate seamlessly with Flask so that they appear as if they were part of Flask itself.
Such features are instead provided by special Python packages called Flask extensions. Configure IntelliSense for cross-compilingĮdit Flask Tutorial in Visual Studio Codeįlask is a lightweight Python framework for web applications that provides the basics for URL routing and page rendering.įlask is called a "micro" framework because it doesn't directly provide features like form validation, database abstraction, authentication, and so on.Install the linter (pylint): this helps analyse the code for bugs and style issues. The status bar will show the selected interpret if everything has gone well: On a virgin Mac there will now be a prompt to install command line developer tools, so click Install if prompted and allow the installation to complete before returning to Visual Studio Code. Visual Studio Code immediately offers to install the Python extension, select Install: Open a folder by selecting Open folder and then add a new file. Visual Studio Code should now start: Configure Python Try to run once – macOS will refuse due to security:Ĭlose the message, open System Preferences, and select the Security and Privacy settings. (This is the actual application, not an installer). Install Visual Studio Codeĭownload the installer from Visual Studio Code and immediately move the downloaded file to the Applications folder. Run the installer – I used all default settings. Download the installer from the main python website by selecting Downloads, Mac OS X, and then selecting the 64-bit installer: V3.8 does not work at the time of writing (although since I started writing this post it looks like it now does). Fix rendering problems for Visual Studio Code running on a virtual machine Install Python 3.7.5Ī virgin Mac comes with Python 2.7 installed – this is not recommended and V3.7.5 works with OpenCV4 on a Mac.
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