A book for beginners of geographical knowledge graph.

如果您要继续开发并编译bayesianPrincipal，则应该： If you'd like to develop on and build the bayesianPrincipal book, you should:

• 克隆此仓库，并转到仓库根目录

• 运行pip install -r requirements.txt（建议您在虚拟环境中执行此操作）

• （推荐）删除现有的bayesianPrincipal/_build/目录

• 运行jupyter-book build bayesianPrincipal/

• Clone this repository, go to it's root directory

• Run pip install -r requirements.txt (it is recommended you do this within a virtual environment)

• (Recommended) Remove the existing bayesianPrincipal/_build/ directory

• Run jupyter-book build bayesianPrincipal/

完整的HTML版本数据将创建在bayesianPrincipal/_build/html/文件夹内。 A fully-rendered HTML version of the book will be built in bayesianPrincipal/_build/html/.

本书的HTML版本位于仓库的 gh-pages 分支上。 仓库已经创建了GitHub actions工作流，该工作流会根据 master 分支的推送或拉取请求自动编译书籍并将其推送到gh-pages分支。 The html version of the book is hosted on the gh-pages branch of this repo. A GitHub actions workflow has been created that automatically builds and pushes the book to this branch on a push or pull request to main.

如果您希望禁用此自动化，可以删除GitHub action工作流（存储在.github目录内)，并按在编译完成后，使用下述流程发布该书至 gh-papges 分支 ： If you wish to disable this automation, you may remove the GitHub actions workflow and build the book manually by:

• 进入本地仓库的根目录

• 运行ghp-import -n -p -f spaceSTAT/_build/html

• Navigating to your local build; and running,

• ghp-import -n -p -f bayesianPrincipal/_build/html

这将自动将您的构建推送到gh-pages分支。 有关此托管过程的更多信息，请参见here。 This will automatically push your build to the gh-pages branch. More information on this hosting process can be found here.

我们欢迎并感谢您的所有贡献。 您可以在贡献者标签中查看当前贡献者的列表。 We welcome and recognize all contributions. You can see a list of current contributors in the contributors tab.

该项目使用出色的开源Jupyter Book项目和executablebooks/cookiecutter-jupyter-book模板创建）。 This project is created using the excellent open source Jupyter Book project and the executablebooks/cookiecutter-jupyter-book template.