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Python at Microsoft2019-08-19T12:55:14-07:00

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A list of pre-made python containers: Python 2, Python 3, Anaconda, Miniconda, Python3 + PostgreSQL

Remote Python Development in Visual Studio Code

Today at PyCon 2019, Microsoft’s Python and Visual Studio Code team announced remote development in Visual Studio Code, enabling Visual Studio Code developers 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 rich and seamless user experience locally.
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Come meet Microsoft at PyCon 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! We are excited to support this event as Keystone sponsors of PyCon for the third time, and we will be participating in all aspects of the conference. 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. Lastly, come work alongside our team at the developer sprints!
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Variable Explorer screenshot

Python in Visual Studio Code – April 2019 Release

We are pleased to announce that the April 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.
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Import notebook screenshot

Data Science with Python in Visual Studio Code

Today we’re very excited to announce the availability of Data Science features in the Python extension for Visual Studio Code! With the addition of these features, you can now work with data interactively in Visual Studio Code, whether it is for exploring data or for incorporating machine learning models into applications, making Visual Studio Code an exciting new option for those who prefer an editor for data science tasks.
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