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Version Update Quality Checklist
Use this checklist when updating a chapter for a new technology version (e.g., Python 3.9 → 3.12, Node 16 → 20).
Import Statements
- All import statements reviewed for version compatibility
- Deprecated import paths updated to current equivalents
- New import patterns adopted where applicable (e.g., Python 3.10+ built-in generics)
- Import organization follows existing book patterns
- No warnings about deprecated imports when code runs
Deprecated Methods/APIs
- All deprecated methods identified and replaced
- Replacement methods functionally equivalent
- Breaking changes addressed (behavior differences handled)
- Deprecation warnings eliminated
- Documentation links updated to current API docs
New Syntax Features
- New syntax features considered for adoption (match/case, type hints, etc.)
- New syntax used only where pedagogically appropriate
- New syntax doesn't obscure the concept being taught
- Explanatory text updated to explain new syntax
- Syntax level appropriate for target audience
Code Testing
- All code examples tested on exact target version
- Code runs without errors
- Code runs without warnings (or warnings are explained)
- Output matches what's shown in book text
- Code tested on all relevant platforms (if multi-platform book)
- Edge cases tested
- Performance characteristics verified (if performance-sensitive)
Text Accuracy
- Version references updated throughout (Python 3.12, not 3.9)
- Explanations revised for any behavior changes
- Best practices updated to reflect current standards
- Security guidance current for target version
- Performance notes updated if characteristics changed
- Feature availability notes accurate (when features were introduced)
Migration Notes
- Migration notes added if changes are significant
- Breaking changes documented
- Migration tips provided for readers with old code
- Links to official migration guides included (if helpful)
- Backward compatibility notes where relevant
Cross-References
- All "see Chapter X" references still accurate
- Section number references verified
- Forward references still correct
- Backward references still correct
- Page number references updated (if present)
- Index entries reflect version changes
Version-Specific Content
- Version-specific features clearly noted
- Minimum version requirements stated
- Version compatibility ranges specified where needed
- Deprecated features marked clearly
- Future deprecation warnings included where known
Consistency
- Updated code follows extracted code patterns
- Voice and tone consistent with existing content
- Terminology consistent throughout chapter
- Formatting matches book standards
- Comment styles match existing examples
Documentation
- Chapter change log updated with version update details
- Testing notes documented (which version(s) tested)
- Major changes summarized for readers
- Date of update recorded
- Reviewer name documented
Examples of Good Version Updates
✅ Good Update:
# Python 3.12 - Modern Type Hints
def process_items(items: list[str]) -> dict[str, int]:
"""Process items and return counts (Python 3.9+)."""
return {item: items.count(item) for item in set(items)}
- Uses modern syntax
- Documents minimum version
- Clear and concise
❌ Bad Update:
# Just changed version number but code uses old syntax
def process_items(items: List[str]) -> Dict[str, int]:
# Still importing from typing (old way)
return {item: items.count(item) for item in set(items)}
- Inconsistent (claims new version but uses old syntax)
- Missed opportunity to demonstrate new features
Red Flags
- Version number changed in text but code unchanged
- Code uses deprecated features without migration plan
- No testing on actual target version
- Breaking changes ignored
- Cross-references broken by chapter renumbering
- Inconsistent version references (some old, some new)