加载中
正在获取最新内容,请稍候...
正在获取最新内容,请稍候...
This repository is for active development of the Azure SDK for Java. For consumers of the SDK, we recommend visiting our public developer docs at https://docs.microsoft.com/java/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-java. This repository primarily serves contributors and maintainers.
This is the official development repository for the Azure SDK for Java. It contains the source code, build scripts, tests, and contribution guidelines necessary for actively developing and maintaining the SDK.
This repository centralizes the collaborative development process for the Azure SDK for Java, providing a structured environment for contributions, issue tracking, testing, and release management.
Detailed guidelines and documentation for contributing code, samples, and documentation to the Azure SDK for Java.
Infrastructure for continuous integration and validation of code changes, ensuring quality and stability across the SDK.
A comprehensive suite of tests (unit, integration, live) to verify the correctness and performance of the SDK components.
The primary use cases for this repository revolve around the development lifecycle of the Azure SDK for Java:
Developers can fork the repository, create a feature branch, implement a bug fix or new feature, and submit a pull request.
Enables community involvement and accelerates the improvement of the SDK.
Contributors and maintainers can build the SDK locally, run tests, and debug code before submitting changes or releases.
Ensures code quality and stability by allowing early detection of issues.
Users encountering issues with the SDK can report bugs, suggest enhancements, and track the status of resolutions.
Provides a transparent platform for issue management and feature prioritization.
You might be interested in these projects
pgmpy is an open-source Python library for working with Probabilistic Graphical Models, specifically focusing on Bayesian Networks. It provides functionalities for structure learning, parameter learning, inference, and causality.
ncspot is a cross-platform ncurses Spotify client written in Rust, providing a lightweight, terminal-based interface for controlling Spotify playback and browsing your library.
Lima (Linux machines) provides lightweight Linux virtual machines with automatic file sharing and port forwarding, primarily aimed at running containers (e.g., Docker, containerd) on macOS.