query: Explain how Python decorator works
positive_passages.docid: 152765
positive_passages.text: How to make function decorators and chain them together?
negative_passages.docid: 67464
negative_passages.text: Python constructor and default value
negative_passages.docid: 116670
negative_passages.text: In Python, when should I use a function instead of a method?
negative_passages.docid: 141973
negative_passages.text: Why is this function wrapped in parentheses, followed by parentheses?
negative_passages.docid: 2441
negative_passages.text: Understanding Python super() with __init__() methods
negative_passages.docid: 35006
negative_passages.text: How to overload __init__ method based on argument type?
negative_passages.docid: 33121
negative_passages.text: Python function pointer
negative_passages.docid: 89521
negative_passages.text: What are good uses for Python3's "Function Annotations"?
negative_passages.docid: 37773
negative_passages.text: How do I detect whether a Python variable is a function?
negative_passages.docid: 28794
negative_passages.text: Can you explain lambda expressions?
negative_passages.docid: 3247
negative_passages.text: How can I find the number of arguments of a Python function?
negative_passages.docid: 154769
negative_passages.text: Using the same decorator (with arguments) with functions and methods
negative_passages.docid: 98530
negative_passages.text: How does Python's super() work with multiple inheritance?
negative_passages.docid: 62282
negative_passages.text: How do the Proxy, Decorator, Adapter, and Bridge Patterns differ?
negative_passages.docid: 23783
negative_passages.text: How does reflection work?
negative_passages.docid: 12462
negative_passages.text: What do (lambda) function closures capture?
negative_passages.docid: 7167
negative_passages.text: difference between variables inside and outside of __init__()