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10 Advanced Python Interview Questions Every Developer Should Know Think you know Python well? It's time to test your knowledge! These 10 questions cover some challenging topics: Custom Memory Allocation Cython Optimization Multithreading & the GIL Metaclasses & OOP Celery & RabbitMQ Advanced Decorators Real-Time Streaming with WebSockets Python vs NumPy Performance REST API Security with OAuth 2.0 Microservices Architecture These questions go beyond basic syntax and test your understanding of Python internals, performance, scalability, and system design. How many can you answer confidently without searching online? Save this list for your next interview preparation! Follow @CLCODING for more Python tips, coding challenges, and interview questions.

Important Methods in Python You Should Know Working with Python collections becomes much easier when you understand their built-in methods. Here’s a quick cheat sheet covering three essential data structures: 1. Set add() — Add an element discard() — Remove an element without raising an error if it is missing union() — Combine sets intersection() — Find common elements issubset() — Check whether a set is a subset 2. Dictionary get() — Retrieve a value safely keys() — Access dictionary keys values() — Access dictionary values items() — Get key-value pairs update() — Add or update entries 3. List append() — Add an element at the end extend() — Add multiple elements insert() — Add an element at a specific position sort() — Sort elements reverse() — Reverse the list Python Tip: Choose the right data structure for your task. Lists are great for ordered collections, sets for unique elements, and dictionaries for key-value mappings. Save this cheat sheet for your next Python project! Learn Python with CLCODING: Bootcamp: chat.whatsapp.com/LS93hzXRl0…