Blobfuse is an open source project developed to provide a virtual filesystem backed by the Azure Blob storage.

Blobfuse uses the libfuse open source library to communicate with the Linux FUSE kernel module, and implements the filesystem operations using the Azure Storage Blob REST APIs. Features Mount a Blob storage container on Linux Basic file system operations such as mkdir, opendir, readdir, rmdir, open, read, create, write, close, unlink, truncate, stat, rename Local…


Deploy OkPy to Azure PaaS

Automate Grading & Personalize Feedback. OK autogrades programming assignments, facilitates submission, composition feedback, and analytics for your class. View a Demo of OkPy The ok.py server collects submissions and displays analysis of student progress based on logging sent from client scripts the ok.py software was developed for CS 61A at UC Berkeley and is now…


Using the Data Science VM within your classes

The Microsoft Data Science Virtual Machine or Deep Learning Virtual Machine are 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 on Windows Server and Linux. We offer…


Remote Collaboration on Python Projects with VSCode

  Guest post by Robert Jordan and Noah Gift Bios Robert is a software architect with over 20 years designing, implementing, and deploying production applications for some of the worlds largest media and scientific customers. He is a founder at Pragmatic AI Labs: https://paiml.com/ Noah is a ML lecturer for UC Davis Graduate School of…


Data Science in Visual Studio Code using Neuron, a new VS Code extension

Guest post by Lorenzo Silvestri, Electronic and Information Engineering Student at Imperial College London. Introduction In this post, I’ll give a short explanation of neuron, a Visual Studio Code extension that aims to be a one-stop-shop for data scientists. It’s an extension I developed as part of a team of students at Imperial College London,…

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Azure AI Gallery enables developers and data scientists to share their analytics solutions.

Azure AI Gallery is a community-driven site for discovering and sharing solutions. Learn how to contribute. The Gallery has a variety of resources that you can use to develop your own analytics solutions. Students can try Azure Machine Learning for free. No credit card or Azure subscription is required. http://aka.ms/azure4students What can I find in…


Learn the fundamentals of Microsoft’s Machine Learning and Artificial Intelligence services

Complete learning paths: 15h 10m + practice labs, see https://azure.microsoft.com/en-us/training/ Learn the fundamentals of Microsoft’s Machine Learning and Artificial Intelligence services and how to build applications using them. Develop practical job skills that you can start using straight away. Free registration. Courses provided free in partnership with Pluralsight. Beginner Developing AI applications on Microsoft Azure –…

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University of Oxford’s Interdisciplinary Bioscience Doctoral Training Programme Data Hack

Guest blog by Ellen Pasternack, DPhil candidate at the University of Oxford About me   Hi! I’m Ellen Pasternack, a DPhil candidate in the University of Oxford’s Interdisciplinary Bioscience Doctoral Training Programme. LinkedIn: https://www.linkedin.com/in/ellen-pasternack-6b1191125/ I’m studying sexual selection in red jungle fowl, and I also blog about biology at www.endlessformsmostwonderful.wordpress.com. As part of my training…


Using Microsoft Azure Data Science Virtual Machines in your teaching and Research Labs

Running Data Science VM on Azure for your data science and deep learning lab resources Create the lab infrastructure as follows Use a shared pool of Ubuntu Data Science VMs (with GPUs if doing deep learning) with each student getting a separate account. Recommendation is  allocate about 5 students per VM for our deep learning…


Azure Deep Learning and ND, NC series with NVidia

ND and NCv2 Series VMs generally available ND-Series virtual machines (VMs) are specifically designed for the needs of artificial intelligence (AI) and Deep Learning workloads, offering excellent performance for training and inference: ✓ They are powered by NVIDIA Tesla P40 GPUs based on the new Pascal Architecture and provide excellent performance for FP32 (single precision…