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Python offers the enumerate() function to simplify tracking index and element during iteration, eliminating the need for manual index management.
Effective error handling in Python functions ensures robustness, user-friendliness, and easier debugging by anticipating and managing potential exceptions.
Python function annotations and type hints clarify expected parameter and return types, improving code readability and maintainability.
functools.wraps preserves a function's metadata when using decorators, maintaining its name, docstring, and other attributes after wrapping. Learn how and when to use it effectively.
Python identity operators is and is not check if two variables point to the same object in memory. They differ from equality operators, which compare values. Use them to verify object identity, not content equality.
Identity operators is and is not in Python check if two variables reference the same object in memory, not just value equality.
Python uses indentation instead of curly braces to define code blocks, making code clean and readable.
itertools is Python's hidden gem for efficient and elegant iteration, replacing nested loops with clean, fast, and Pythonic code through powerful iterator-building functions.
Python's logical operators—and, or, not—are essential for building complex conditional logic in code by combining or modifying boolean values.
Master Python loops: for loops iterate sequences, while loops run as long as a condition is true. Essential for automating repetitive tasks and efficient coding.