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Decorators are one of Python's most elegant features. They let you modify or enhance functions without changing their code. From Flask routes to FastAPI endpoints to authentication — decorators are everywhere. Here's how they actually work.
List comprehensions are one of Python's most Pythonic features. They let you create, filter, and transform lists in a single, readable line. This guide covers list, dict, set comprehensions and generator expressions with real-world examples.
Pandas is the most important Python library for data analysis. Whether you're cleaning messy CSVs, analyzing business data, or preparing data for machine learning — pandas is the tool. This guide covers everything from DataFrames to groupby to merging.
Python type hints are no longer optional — they're a professional standard. They make your code self-documenting, catch bugs before runtime, and power tools like FastAPI and Pydantic. Here's everything you need to know.