tradecatlabs/shulihuazixuecongshu

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本仓库保存《数理化自学丛书》17 册的原始扫描 PDF、语义化 Markdown、扫描插图资源和可复现 EPUB3 构建工具。 新建了一个电子书处理交流群,欢迎感兴趣的朋友加入,一起交流、学习和分享电子书及扫描版 PDF 的数字化处理经验: Telegram: https://t.me/dzscl 群内会定期更新和发布扫描版 PDF 处理的数字工序、工具与相关镜像。也欢迎提供赞助 Token 或计算资源;赞助商名单会写入制作的作品,并在合适的位置进行介绍和推广。 本项目计算资源由 交易猫实验室(TradeCat Labs) 赞助。 CA: https://dexscreener.com/bsc/0x8a99b8d53eff6bc331af529af74ad267f3167777 作者元数据统一为“数理化自学丛书编委会”,电子书语言统一为 zh-CN。 Markdown 与 books/assets/ 保持在同一源文件区,因此正文中的 assets/... 相对引用可直接解析;仓库根目录不放置单册电子书源文件。 依赖: 原始 PDF 深度审计额外需要 PyPDF2 3.x、qpdf、Poppler(pdfinfo、pdfdetach、pdfsig、pdftotext)和 ExifTool。 完整审计并构建: 仅审计源文件: 审计17份原始扫描 PDF 的哈希、结构、附件、主动内容和隐私元数据: 仅构建 EPUB: 验证已有 EPUB: 构建单册: 输出位于 dist/,报告位于 reports/。构建器会检查 ZIP、XML、元数据、内部链接、图片替代文本、MathML 数量以及 EPUB3 nav/EPUB2…

tradecatlabs/shulihuazixuecongshu on GitHub A short preview, not the full document.

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Read the full README ↗ · Preview checked 2026-10-19T18:48:35.112Z

Inside the original README — Document outline
  1. 数理化自学丛书(电子书重建版)
  2. 电子书处理交流群
  3. 赞助
  4. 收录书目
  5. 仓库结构
  6. 构建
  7. Release 发布策略
  8. 发布前隐私审计
  9. 当前源资产状态
  10. 权利说明

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Repository facts

Owner
tradecatlabs
Primary language
Python
Stars
908
Forks
165
Open issues + pull requests
0
License
Not reported — inspect the license file
Archived
No
Default branch
main
Created
2026-08-27T18:02:35.000Z
Last push
2026-09-01T21:10:35.000Z

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