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