Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)
Перейти к файлу
Paul Shealy 6207e80dc9 Updated README 2017-08-22 14:57:23 -07:00
Assets/blogs Adding assets for the DSVM - Windows 2016 2017-06-06 10:23:40 -07:00
Extensions Updated README 2017-08-22 14:57:23 -07:00
Samples Create README.md 2017-04-20 11:25:02 -07:00
Scripts Added SSH key-based authentication 2017-08-10 14:25:42 -07:00
Tutorials adding demos from Julia con 2017-06-23 14:33:07 -07:00
.gitignore Initial commit 2017-04-20 10:25:08 -07:00
LICENSE Initial commit 2017-04-20 10:25:11 -07:00
README.md Test drive info updated 2017-06-21 15:22:56 -07:00

README.md

Data Science Virtual Machine

The Data Science Virtual Machine (DSVM) is a customized VM image on Microsofts Azure cloud built specifically for doing data science. It has many popular data science and other tools pre-installed and pre-configured to jump-start building intelligent applications for advanced analytics. It is available on Windows Server 2016, Windows Server 2012, and on Linux. We offer Linux edition of the DSVM in either Ubuntu 16.04 LTS or on OpenLogic 7.2 CentOS-based Linux distributions. You can try the Data Science VM for free for 30 days (with $200 credits) with a free Azure Trial. The Linux (Ubuntu-based) DSVM also provides a test drive through a button on the product page. The Test Drive will provide full access to you own instance of the VM with just a free Microsoft account (No Azure subscription or CC needed).

About this Repo

On this repo, we will feature tools, tips and extensions (see below) to the Data Science VM. We invite the DSVM user community to contribute any useful tools or scripts, extensions you may have written to enhance the user experience on the DSVM.

About Extensions

Azure Resource manager (ARM) provides a capability to define extensions for resources like Virtual Machines. VM Extensions are scripts that are run during the deployment of a VM to install additional pieces of software or reconfigure the VM to your needs or to comply with specific IT policies your company may have.

Contributing

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.