Run containerized web apps on Windows and Linux Provision unused compute capacity at deep discounts to run interruptible workloadsīuild and deploy modern apps and microservices using serverless containersĭevelop and manage your containerized applications faster with integrated toolsĭeploy and scale containers on managed Red Hat OpenShift Migrate SQL Server workloads to the cloud at lower total cost of ownership (TCO) Manage and scale up to thousands of Linux and Windows VMsīuild and deploy Spring Boot applications with a fully managed service from Microsoft and VMwareĪ dedicated physical server to host your Azure VMs for Windows and LinuxĬloud-scale job scheduling and compute management Remove data silos and deliver business insights from massive datasetsĪccess cloud compute capacity and scale on demand-and only pay for the resources you use Secure, develop, and operate infrastructure, apps, and Azure services anywhere Jump in and explore a diverse selection of today's quantum hardware, software, and solutions Quickly create powerful cloud apps for web and mobileĮverything you need to build and operate a live game on one platformĮxecute event-driven serverless code functions with an end-to-end development experience Migrate, modernize, and innovate on the modern SQL family of cloud databasesīuild or modernize scalable, high-performance appsĭeploy and scale containers on managed KubernetesĪdd cognitive capabilities to apps with APIs and AI services Provision Windows and Linux VMs in secondsĮnable a secure, remote desktop experience from anywhere Please use this form to provide feedback, request more documentation, request someone to contact you for help, etc.Explore some of the most popular Azure products The full write up on Azure Notebooks is located (here) Request Form Other accounts used to login to services such as Office 365. Signing UpĪzure Notebooks supports signing in with either a Microsoft account (formerly Windows Live ID) or with a “Work or School account”. Also, some packages may not yet be available in Azure Notebooks. NOTE: Some notebooks may require prerequisites which you will need to install using !pip install (for Python) or install.packages (for R).
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