Python Resilience Patterns Build fault-tolerant Python applications that gracefully handle transient failures, network issues, and service outages. Resilience patterns keep systems running when dependencies are unreliable. When to Use This Skill - Adding retry logic to external service calls - Implementing timeouts for network operations - Building fault-tolerant microservices - Handling rate limiting and backpressure - Creating infrastructure decorators - Designing circuit breakers Core Concepts 1. Transient vs Permanent Failures Retry transient errors (network timeouts, temporary service is…