At this level, individuals are expected to have a basic understanding of Python syntax and semantics. They should be familiar with data types, control flow structures such as if, for, and while statements, and be able to write simple functions. They should also have a basic understanding of error handling using try and except blocks.

Novices should be able to use basic Python libraries like math and datetime, understand file I/O operations, and perform basic string manipulations. They should be capable of writing recursive functions and have an understanding of Python's object-oriented programming features.

Intermediate users should be proficient in using standard Python libraries like collections and itertools, understand advanced data structures like sets and dictionaries, and be able to write complex functions and classes. They should know list comprehensions, generator expressions, decorators, and context managers.

Advanced users should be proficient in using third-party Python libraries like numpy and pandas, understand multithreading and multiprocessing, and be able to write Python scripts for automation tasks. They should have knowledge of regular expressions and understand Python's memory management and optimization techniques.

Experts should be proficient in using advanced Python libraries like tensorflow and scikit-learn, understand metaclasses and Python's object model, and be able to write Python extensions in C. They should have knowledge of Python's internals like bytecode and interpreter, and understand advanced concurrency models like asyncio and greenlets.