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Learn to add and remove elements in Python sets using methods like add(), remove(), and discard() to efficiently manage unique collections.
Tuples are immutable Python data structures ideal for storing unchangeable items like coordinates or configurations, similar to lists but fixed once created.
Learn essential Python list methods for adding, removing, and manipulating data efficiently with clear examples and practical use cases.
Python lists are mutable, offering methods like append, insert, and extend to add elements. You can also remove or update items, making lists flexible for dynamic data handling.
In Python, copying objects is nuanced; assignment creates references, not copies. Shallow copies share nested objects, while deep copies clone everything, avoiding unintended side effects.
Tuples are immutable data structures in Python, meaning their contents cannot be changed after creation. While this may seem restrictive, it ensures data integrity and makes tuples useful for fixed collections, hashable keys, and performance optimization.
Python's while loops are essential for repeating code when you don't know how many iterations you need, running as long as a condition remains true.