Edit

Share via

Development tools on the Azure Data Science Virtual Machine

  • Article

The Data Science Virtual Machine (DSVM) bundles several popular tools in one integrated development environment (IDE). The DSVM offers these tools:

Visual Studio Community Edition

Category Value
What is it? A 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? A 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, a desktop shortcut, or a terminal (code) in Linux

PyCharm

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