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https://github.com/azure/datasciencevm

Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)
https://github.com/azure/datasciencevm

ai azure big-data data-analysis data-science deep-learning dsvm machine-learning ml python r sqlserver

Last synced: 30 days ago
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Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

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README

        

# Data Science Virtual Machine

The Data Science Virtual Machine (DSVM) is a customized VM image on Microsoft’s 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 for [Windows Server 2019](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.dsvm-win-2019?tab=Overview) and [Ubuntu 18.04 LTS](https://azuremarketplace.microsoft.com/marketplace/apps/microsoft-dsvm.ubuntu-1804?tab=Overview).

You can try the Data Science VM for free for 30 days (with $200 credits) with a free [Azure Trial](http://azure.com/free). The Ubuntu DSVM also provides a free trial through the [Azure Test Driver](aka.ms/dsvm/testdrive). The Test Drive will provide full access to you own instance of the VM with just a free Microsoft account - No Azure subscription or credit card needed.

# About this Repo

This repo features tools, tips and extensions (see below) to the Data Science VM. We invite the DSVM user community to contribute any useful tools, scripts, or 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](https://opensource.microsoft.com/codeofconduct/). For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/) or contact [[email protected]](mailto:[email protected]) with any additional questions or comments.