python
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 |
|---|---|---|---|
| 1 | I/O & Async Patterns | CRITICAL | io- |
| 2 | Data Structure Selection | CRITICAL | ds- |
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