Python 3.11 Best Practices Comprehensive performance optimization guide for Python 3.11+ applications. Contains 42 rules across 8 categories, prioritized by impact to guide automated refactoring and code generation. When to Apply Reference these guidelines when: - Writing new Python async I/O code - Choosing data structures for collections - Optimizing memory usage in data-intensive applications - Implementing concurrent or parallel processing - Reviewing Python code for performance issues Rule Categories by Priority | Priority | Category | Impact | Prefix | |----------|----------|--------|--…