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    Data Structures: How They Work & Optimize Memory

    A data structures enable rapid access to stored information and seamless updates without performance bottlenecks. Whether handling large datasets or optimizing algorithms, the choice of data structure plays a crucial role in reducing processing time and memory overhead. Purpose of Data Structures in Python Use Cases in Python 1 List (list) A list in Python is a mutable , ordered collection that can store element of different data types, lists are commonly used for storing and manipulating Sequence of items. 1. How to create List you can create a list using square brackets[] List can Hold different data types. 2. How to Access element from list Accessing list element using indexing , index…

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