Replaces abbreviated 'ML Systems' with 'Machine Learning Systems' across
volume titles, part openers, frontmatter, summaries, docs, and landing page
for consistency with MIT Press submission standards.
Removes the learning objectives framework, part key validation system, and the publish live workflow documentation.
These files are being removed to facilitate a reorganization of the project's documentation structure and workflows.
* Restructure: Move book content to book/ subdirectory
- Move quarto/ → book/quarto/
- Move cli/ → book/cli/
- Move docker/ → book/docker/
- Move socratiQ/ → book/socratiQ/
- Move tools/ → book/tools/
- Move scripts/ → book/scripts/
- Move config/ → book/config/
- Move docs/ → book/docs/
- Move binder → book/binder
Git history fully preserved for all moved files.
Part of repository restructuring to support MLSysBook + TinyTorch.
Pre-commit hooks bypassed for this commit as paths need updating.
* Update pre-commit hooks for book/ subdirectory
- Update all quarto/ paths to book/quarto/
- Update all tools/ paths to book/tools/
- Update config/linting to book/config/linting
- Update project structure checks
Pre-commit hooks will now work with new directory structure.
* Update .gitignore for book/ subdirectory structure
- Update quarto/ paths to book/quarto/
- Update assets/ paths to book/quarto/assets/
- Maintain all existing ignore patterns
* Update GitHub workflows for book/ subdirectory
- Update all quarto/ paths to book/quarto/
- Update cli/ paths to book/cli/
- Update tools/ paths to book/tools/
- Update docker/ paths to book/docker/
- Update config/ paths to book/config/
- Maintain all workflow functionality
* Update CLI config to support book/ subdirectory
- Check for book/quarto/ path first
- Fall back to quarto/ for backward compatibility
- Maintain full CLI functionality
* Create new root and book READMEs for dual structure
- Add comprehensive root README explaining both projects
- Create book-specific README with quick start guide
- Document repository structure and navigation
- Prepare for TinyTorch integration