Development tools on the Azure Data Science Virtual Machine

The Data Science Virtual Machine (DSVM) bundles several popular tools in a highly productive integrated development environment (IDE). Here are some tools that are provided on the DSVM.

Visual Studio Community Edition

Category	Value
What is it?	General purpose IDE
Supported DSVM versions	Windows Server 2019: Visual Studio 2019
Typical uses	Software development
How is it configured and installed on the DSVM?	Data Science Workload (Python and R tools), Azure workload (Hadoop, Data Lake), Node.js, SQL Server tools, Azure Machine Learning for Visual Studio Code
How to use and run it	Desktop shortcut (C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\Common7\IDE\devenv.exe). Graphically, open Visual Studio by using the desktop icon or the Start menu. Search for programs (Windows logo key+S), followed by Visual Studio. From there, you can create projects in languages like C#, Python, R, and Node.js.

Note

You might get a message that your evaluation period is expired. Enter your Microsoft account credentials. Or create a new free account to get access to Visual Studio Community.

Visual Studio Code

Category	Value
What is it?	General purpose IDE
Supported DSVM versions	Windows, Linux
Typical uses	Code editor and Git integration
How to use and run it	Desktop shortcut (C:\Program Files (x86)\Microsoft VS Code\Code.exe) in Windows, desktop shortcut or terminal (code) in Linux

RStudio Desktop

Category	Value
What is it?	Client IDE for R language
Supported DSVM versions	Windows, Linux
Typical uses	R development
How to use and run it	Desktop shortcut (C:\Program Files\RStudio\bin\rstudio.exe) on Windows, desktop shortcut (/usr/bin/rstudio) on Linux

PyCharm

Category	Value
What is it?	Client IDE for Python language
Supported DSVM versions	Windows 2019, Ubuntu 18.04
Typical uses	Python development
How to use and run it	Desktop shortcut (C:\Program Files\tk) on Windows. Desktop shortcut (/usr/bin/pycharm) on Linux