Dan Taylor

Connect with us at Microsoft Build digital event

May 15th, 2020

Join us for Microsoft Build 2020, a virtual event starting next Tuesday, May 19. We’ll demo the new capabilities in Visual Studio Code and Azure to enable Python developers to build data processing pipelines, web applications, and machine learning models.

Come meet Microsoft at DjangoCon 2019

September 20th, 2019

DjangoCon 2019 is happening next week in San Diego and Microsoft is pleased to be supporting the conference as Gold sponsors this year. We will have some members from our Python team, our Azure Cloud Advocates, and the PostgreSQL team. Be sure to check out our talks from our team during the conference, and come by the booth!

Remote Python Development in Visual Studio Code

May 2nd, 2019

Microsoft’s Python and Visual Studio Code team announced remote development in Visual Studio Code, enabling you to work in development setups where their code and tools are running remotely inside of docker containers, remote SSH hosts, and Windows Subsystem for Linux (WSL), while you still get a seamless experience locally.

Come meet Microsoft at PyCon 2019!

April 25th, 2019

Next week we (the Python team here at Microsoft) will be at the PyCon conference in Cleveland, OH on May 1-9, and are looking forward to meeting you! Come join our workshops, then stop by our booth to get some great swag and check out the latest in Visual Studio Code, Azure, Azure Pipelines, and Python on Windows.

Python in Visual Studio Code – February 2019 Release

February 26th, 2019

We are pleased to announce that the February 2019 release of the Python Extension for Visual Studio Code is now available. In this release we have closed a total of 40 issues, including a built-in Test Explorer, validation of breakpoint targets when debugging, and the ability to run any code selection in the Python Interactive window.

Python in Visual Studio 2019 Preview 2

January 23rd, 2019

Today we are releasing Visual Studio 2019 Preview 2, which contains new features for Python developers to improve the experience for managing Python environments and enable you to work with Python code without having to create a Python project. We’ve also enabled Python support for Visual Studio Live Share. In this post we’ll take a closer look at these new features.

Python in Visual Studio Code – December 2018 Release

December 13th, 2018

We are pleased to announce that the December 2018 release of the Python Extension for Visual Studio Code is now available. This release was a short release, where we primarily focused on two top-requested features for the data science experience shipped in November: remote Jupyter support and export Python files as Jupyter Notebooks. We have also fixed many issues reported on GitHub, and you can see the full list in our changelog.

Python in Visual Studio Code – November 2018 Release

November 29th, 2018

We are pleased to announce that the November 2018 release of the Python Extension for Visual Studio Code is now available. This release was a quality focused release, we have closed a total of 28 issues, improving startup performance and fixing various bugs related to interpreter detection and Jupyter support. Keep on reading to learn more!

Python in Visual Studio Code – October 2018 Release

November 8th, 2018

We are pleased to announce that the October 2018 release of the Python Extension for Visual Studio Code is now available. In this release we have closed a total of 49 issues, including Jupyter support: import notebooks and run code cells in a Python Interactive window, use new virtual environments without having to restart, code completions in the debug console window, improved completions in language server: recognition of namedtuple, and generic types.

Python in Visual Studio Code – September 2018 Release

October 9th, 2018

We are pleased to announce that the September 2018 release of the Python Extension for Visual Studio Code is now available. In this release we have closed a total of 45 issues, including automatic activation of environments in the terminal, support for Python environments in split terminals, debugger support for the breakpoint() built-in, improved Go To Definition and Find References in the Python Language Server, reduced CPU and Memory consumption in the Python Language Server.