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/kedroMajor features and improvementsDescription of new feature or significant enhancement.Bug fixes and other changesDescription of bug fix or minor change.Documentation changesDescription of docs change.Community contributionsUsernameRelease X.Y.ZMajor 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