Skill UI

This comprehensive Python SDK serves as a client library for managing the full lifecycle of Machine Learning resources on Azure Machine Learning. It allows users to programmatically handle workspaces, register data and models, provision compute clusters, define complex training jobs, and build reproducible, end-to-end MLOps pipelines.

This Java client library provides comprehensive SDK support for Azure Batch service. It enables developers to manage and execute large-scale, parallel, and high-performance computing (HPC) batch jobs in Azure. Users can programmatically manage compute pools, create structured jobs, schedule tasks, and monitor job lifecycle using Java.

This Java client library provides comprehensive SDK support for Azure Batch service. It enables developers to manage and execute large-scale, parallel, and high-performance computing (HPC) batch jobs in Azure. Users can programmatically manage compute pools, create structured jobs, schedule tasks, and monitor job lifecycle using Java.

This SDK enables Java developers to build real-time, scalable web applications using Azure Web PubSub. It leverages WebSocket-based messaging to implement critical features such as live chat applications, instant server-to-client push notifications, and real-time data synchronization. Key functionalities include targeted message delivery (to all, groups, or specific users), connection management, and secure client access token generation.

This comprehensive SDK provides a Python interface for Azure Web PubSub Service, enabling real-time, scalable messaging via WebSocket connections. It allows developers to implement robust Publish/Subscribe (Pub/Sub) patterns, supporting message broadcasting to all clients, targeted messages to specific users, and advanced group management. Ideal for building high-concurrency, real-time communication features.

This SDK provides the comprehensive management plane interface for Azure API Management (APIM) within the .NET framework. It enables developers to programmatically provision, update, and manage the entire lifecycle of APIM resources, including APIs, Products, Subscriptions, Policies, and Users, directly through the Azure Resource Manager. It is essential for automating infrastructure setup and CI/CD pipelines.

This SDK provides comprehensive Python tools for managing Azure API Management (APIM) resources programmatically. Users can automate the entire lifecycle, including creating and updating APIM services, importing APIs from OpenAPI specifications (JSON or URL), defining product tiers, managing subscriptions, applying granular security policies (like rate limiting), and configuring backends and users.

This is the Azure Resource Manager SDK for .NET, designed to streamline the deployment and management of Weights & Biases (W&B) ML experiment tracking instances directly through Azure Marketplace. It allows developers to programmatically create, configure, and manage W&B environments, including setting up marketplace details, managing admin users, configuring Single Sign-On (SSO), and ensuring robust ML observability within an Azure ecosystem. Ideal for MLOps pipelines.

This is the Azure Resource Manager SDK for .NET, designed to streamline the deployment and management of Weights & Biases (W&B) ML experiment tracking instances directly through Azure Marketplace. It allows developers to programmatically create, configure, and manage W&B environments, including setting up marketplace details, managing admin users, configuring Single Sign-On (SSO), and ensuring robust ML observability within an Azure ecosystem. Ideal for MLOps pipelines.

This SDK provides comprehensive Python support for managing Azure File Shares, which function as SMB file shares in the cloud. It allows users to perform core operations including creating, listing, and deleting shares, managing nested directories, uploading, downloading, and copying files, and utilizing advanced features like snapshots and partial range operations. Ideal for cloud-native development and lift-and-shift migrations.

A comprehensive guide to advanced frontend architectural patterns for building robust and scalable user interfaces using React and Next.js. Covers essential techniques such as Compound Components, Render Props, custom hooks (e.g., useQuery, useDebounce), and advanced state management using Context and Reducers, ensuring optimal performance and maintainability.

This skill provides comprehensive guidance on using LibreOffice Base for full-cycle database management. Users can create ODB databases, define schemas, manage tables, and establish relationships. It supports connecting to various external databases (MySQL, PostgreSQL, etc.), performing complex data operations, and automating professional reports and forms using SQL and Python scripting (UNO). Ideal for building data-driven applications.