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You will begin with the basics of data structures like linked lists, stacks, queue, binary search trees, heaps, and some advanced topics like AVL trees and red-black trees, and then move on to learn about graph algorithms, such as spanning trees, shortest path algorithms, and graph traversing. Whether it’s real-world problems you’re trying to solve or the typical coding question asked in an interview, almost every problem requires you to demonstrate a deep understanding of data structures and algorithms. I would have preferred that it included more hands-on exercises. Also, it is ideal for beginners, intermediates, as well as experts. Students who want to have better understanding of Data Structures, Python programmers curious about Data Structures, IT Professional experimenting implementation of Data Structures in Python. 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COURSE LAYOUT Week 1 Informal introduction to programmin, algorithms and data structures viagcd Downloading and installing Python gcd in Python: variables, operations, control flow - assignments, condition-als, loops, functions Week 2 Python: types, expressions, strings, lists, tuples Python memory model: names, mutable and immutable values The data structure chosen can make or break an entire computer program. Visual explanation and Coding of Sorting Algorithms like Selection Sort & Insertion Sort A data structure is a particular way of organizing data in a computer so that it can be used effectively.. For example, we can store a list of items having the same data-type using the array data structure. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. 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