Advanced Socket Programming: Handling Multiple Connections

Advanced Socket Programming: Handling Multiple Connections

Concurrency in Python server architecture involves threading for I/O-bound tasks and asyncio for asynchronous I/O operations. Threading allows concurrent request handling with synchronization via locks, while asyncio supports high concurrency with non-blocking code. Choice depends on workload and performance needs.
Handling Network Errors in Python Socket Programming

Handling Network Errors in Python Socket Programming

Robust error handling is essential for socket applications. Best practices include catching exceptions at the right level, implementing retry mechanisms for transient errors, using logging for insights, and establishing fallback connections. Encapsulating error handling in dedicated classes enhances maintainability and promotes resource cleanup.
Exploring the socket.gethostbyname Method

Exploring the socket.gethostbyname Method

Handling deeply nested JSON structures requires robust parsing techniques. Recursive functions may lead to stack overflow and denial-of-service vulnerabilities. Implementing a work queue with deque ensures safe processing without crashing, managing heap memory effectively. Prioritize stability and error handling for production-ready code.