Advanced Python Techniques: Data Structures, Decorators, Metaprogramming, Concurrency, and Performance Optimization
This article introduces experienced Python developers to advanced techniques and best practices, covering high‑level data structures from the collections module, custom data structures, decorators and context managers, metaclasses, dynamic class creation, concurrent and asynchronous programming, performance tuning, memory management, coding standards, and testing strategies.