Upcoming Release
【免费下载链接】kedroKedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.项目地址: https://gitcode.com/GitHub_Trending/ke/kedro
Major features and improvements
- Description of new feature or significant enhancement.
Bug fixes and other changes
- Description of bug fix or minor change.
Documentation changes
- Description of docs change.
Community contributions
- Username
Release X.Y.Z
Major features and improvements
- ...
各 H2 小节的选用规则： - `## Major features and improvements` — 新特性、重大增强； - `## Bug fixes and other changes` — 缺陷修复、次要变更、依赖更新； - `## Documentation changes` — 纯文档变更； - `## Community contributions` — 由维护者为外部贡献者添加。 条目格式统一为 `* Description of the change.`。 ### 自动化依赖：标题必须精确 已发布的版本必须使用精确标题 `# Release X.Y.Z`。原因在于发布自动化脚本 [tools/github_actions/extract_release_notes.py](https://link.gitcode.com/i/3cdb68d6c0be689daa1399a311ade295) 通过 `extract_section(filename, heading)` 查找匹配该格式的第一个 H1 标题，并截取其后的全部内容直到下一个 H1。**标题格式错误 = GitHub Release 内容损坏**。审查 PR 时，如果改动涉及 `kedro/` 源码而 diff 中却没有 `RELEASE.md`，应标记为 **Critical**。 ### 正确条目示例 在 `# Upcoming Release` 的 `## Bug fixes and other changes` 小节下： ```markdown * Fixed `AttributeError` when node functions have non-Pydantic/dataclass type hints on `params:` inputs. The parameter validation framework now correctly skips types it cannot validate.【免费下载链接】kedroKedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.项目地址: https://gitcode.com/GitHub_Trending/ke/kedro
创作声明：本文部分内容由AI辅助生成（AIGC），仅供参考
