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Data Structures in C++

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Description: Data Structures is indeed an essential course for students in the field of data science, computer science, or related backgrounds. It provides a strong foundation in understanding core concepts and techniques necessary for writing high-quality programs and developing efficient algorithms. Here are the key topics covered in a typical Data Structures course:Logical and Storage Structure of Data: Students learn about the logical organization of data and how it is stored in computer memory. They understand the difference between abstract data types (ADTs) and their physical implementations.Basic Operations: Students gain knowledge about the fundamental operations performed on data structures, such as insertion, deletion, traversal, searching, and sorting.Arrays: Students explore the concepts of arrays, including one-dimensional and multi-dimensional arrays. They learn how to manipulate and access array elements efficiently.Linked Lists: Students understand the linked list data structure, which consists of nodes connected through pointers. They learn about various types of linked lists like singly linked lists, doubly linked lists, and circular linked lists.Stacks and Queues: Students learn about stack and queue data structures, which are used for managing data in a Last-In-First-Out (LIFO) and First-In-First-Out (FIFO) manner, respectively. They understand the operations and applications of stacks and queues.Recursion: Students gain an understanding of recursion, a technique where a function calls itself. They learn how to write recursive algorithms and solve problems using recursion.Trees: Students explore tree data structures, including binary trees, binary search trees (BSTs), and balanced binary search trees like AVL trees and red-black trees. They learn about tree traversal algorithms, such as in-order, pre-order, and post-order traversal.Graphs: Students learn about graph data struct
Category: IT & Software > Other IT & Software > Data Structures
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Price: 19.99
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