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Python identity (is) checks if objects are the same, while equality (==) checks if their values match. Understanding this distinction helps prevent bugs and write more efficient code.
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 uses automatic memory management with garbage collection via reference counting and generational cycles for efficiency. Key concepts include object allocation, reference tracking, and performance optimization for large datasets.
Python multithreading enables concurrent execution but is limited by the Global Interpreter Lock (GIL). It's best for I/O-bound tasks, not CPU-intensive ones, and requires careful handling.
Learn essential number types, math operations, and built-in functions in Python to strengthen your programming skills and handle numeric data effectively.
NumPy is essential for numerical computing in Python. This cheat sheet covers installation, array creation, indexing, and advanced operations for efficient data handling.
Learn effective strategies to optimize Python classes for better performance and memory efficiency in applications.
Learn what causes a ZeroDivisionError in Python, common scenarios where it occurs, and practical strategies to prevent this error from crashing your program.
Learn various methods to remove items from dictionaries in Python, including del, pop(), and popitem(), to efficiently manage data and optimize memory usage.
Learn efficient sorting techniques in Python using built-in methods and custom sorting for better code performance and clarity.
