Скачать или смотреть Case study based class | Data Structures using Python | Data Structures | SNS Institutions

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Data structures are fundamental concepts in computer science that help in organizing and managing data efficiently. In Python, data structures are implemented using both built-in types and user-defined classes, making them powerful and easy to use.

The most commonly used built-in data structures in Python include lists, tuples, sets, and dictionaries. A list is an ordered, mutable collection that allows duplicate elements, making it suitable for tasks such as storing sequences or performing dynamic operations like insertion and deletion. Tuples are similar to lists but are immutable, which means their values cannot be changed once defined, ensuring data integrity. Sets are unordered collections of unique elements, commonly used for membership testing and eliminating duplicates. Dictionaries store key-value pairs, enabling fast lookups and efficient data mapping.