Python in Visual Studio Code
This post was written by Luciana Abud, Program Manager for the Python Extension in Visual Studio Code
We are pleased to announce that the January 2019 release of the Python Extension for Visual Studio Code is now available. You can download the Python extension from the Marketplace, or install it directly from the extension gallery in Visual Studio Code. You can learn more about Python support in Visual Studio Code in the documentation.
In this release we have closed a total of 62 issues, including:
Keep on reading to learn more!
The data science experience was first introduced in the last October release, and one of the top feedback requests we’ve heard was to provide the ability to iterate rapidly by experimenting with code in an interactive console environment. In this update, we extended the Python Interactive window with IPython console support by allowing code to be typed in and executed directly in the window. You can now use the enhanced Interactive window standalone as an IPython console, or send code from the editor for execution.
Here’s how to use it in a nutshell:
Being able to run code in the Python Interactive window without having to define cells is no doubt one of the most requested features. This update enables running the entire files in the Interactive window without cell definitions.
To run the entire file, simply use the command Run Current File in Python Interactive window in the Command Palette. Your code will be executed with results displayed in the Python Interactive window.
We’ve also heard requests to run the current code selection / line in the editor, and this will be coming next in a future update.
This release also includes an enhancement to unit tests run with pytest: you can now see failed tests in the problems window. You can also double click lines to navigate to the failed test method and the exact failing line. The correspondent line in the editor will be selected, allowing you to easily identify and edit it.
As before, you can also see failed tests highlighted with pass/fail icons in the editor. You can hover these icons to see the errors navigate to the failing test method/line, just like in the problems window.
We’d like to thank community contributor Chris NeJame for implementing this new feature. Contributions to the Python extension are always welcome! If you’re interested, check our contributing guide to learn more.
We also made improvements to the outline view when using the Microsoft Python Language Server. The Outline view could often take a long time to load or even time out, and now with the Language Server It now loads consistently fast, and cases where symbols would appear duplicated were fixed.
As a reminder, the Language Server was released as a preview the last July release of the Python extension. To opt-in to the language server, change the python.jediEnabled setting to false in File > Preferences > User Settings. We are working towards making the language server the default in future releases.
Original source: https://blogs.msdn.microsoft.com
This video 'Visual Studio Code For Python Development' will help you understand how you can use the Python extension to write python code in the visual studio code editor.
Python is one of the most popular and easy to learn languages, which is why it is often one of the first languages you learn. Let’s see how to work with and run Python inside of Visual Studio Code!
In this demo driven session, we’ll show you how to use the cross-platform, free, and open source Visual Studio Code for all your Python development needs. From editing, to linting, to debugging and more, you will learn how to get started, as well as tips and tricks to save you time in your everyday development lifecycle.