Development tools on the Azure Data Science Virtual Machine
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 Trial 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 |