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A data structure is a collection of data values, the relationships among them, and the functions or operations that can be applied to the data. Different types of data structures are suited to different kinds of applications, and some are highly specialized to specific task. Data structures provide a means to manage large amounts of data efficiently. Efficient data structures are key to designing efficient algorithms.  Data structures can be used to organize the storage and retrieval of information stored in both main memory and secondary memory.

Data structures serve as the basis for ADT. The ADT  (Abstract Data Types) defines the logical form of the data type. Data structures are based on the ability of a computer to fetch and store data at any place in its memory, specified by a pointer.

The array and record data structures are based on computing the addresses of data items with arithmetic operations. The linked data structures are based on storing addresses of data items within the structure itself. The implementation of a data structure usually requires writing a set of procedures that create and manipulate instances of that structure.

A linked list is a linear collection of data elements whose order is not given by their physical placement in memory. Each element points to the next. It is a data structure consisting of a collection of nodes which together represent a sequence. Each node contains: data, and a  link to the next node in the sequence. This structure allows for efficient insertion or removal of elements from any position in the sequence during iteration.

Following topics are covered as part of hands-on / Live coding videos :

Linked Lists (LL) Implementation / Coding:

   Concept of link
   Creating a Linked List (LL)
   Appending a node to LL
   Display of LL
   Length of LL (count)
   Reversing of LL
   Sorting
   Adding node at Start of LL
   Inserting node in between of LL
   Deleting a node
   Creating a Double LL
   Appending a node to Double LL
   Display of Double LL
   Length of Double LL (count)
   Reversing of Double LL
   Inserting a node in between a Double LL
   Rotate Double LL
   Count Pairs with criteria for a Double LL
   Questions
   Circular LL overview (access pointers)
   Creating a Circular LL
   Adding node at Start Circular LL (approach 1)
   Traversal / Display Circular LL (approach 1)
   Inserting node in between a Circular LL (approach 1)
   Deleting a node
   Adding node at End Circular LL (approach 2)
   Traversal / Display Circular LL (approach 2)
   Circular LL – Queue (Adding Node)
   Circular LL – Queue (Removing Node)
   Questions

Stacks (Implementation / Coding):

   Stack overview
   Stack with Array
   Expressions
   Evaluation of Postfix expression
   Infix to Post fix
   Evaluation of Prefix overview. infix to prefix overview
   Application: Finding next big element
   Stack using Linked List
   Reversing Stack with Linked List
   Questions

Queues (Implementation / Coding) :

   Queue Overview
   Queue using Array
   Priority Queue with Array
   Queue using Linked List
   Priority Queue using Double Linked List
   Questions

Recursion

   Recursion Overview, Phases, Types
   Recursive Functions
   Linked List operations using Recursion
   Questions

Trees

   Binary Trees
   Tree Traversals
       Inorder
       preorder
       postorder
   Binary Search Trees (BST)
   BST – Insertion
   BST – Insertion & Traversals
   Traversals Explained
   BST – Search
       Search operations
   BST Deletion
       Deletion cases
   Binary Tree to BST conversion
   Identify a Tree to be BST
   Identify zero, one child nodes of BST
   Questions

Sorting

   Selection Sort
   Selection Sort Analysis
   Bubble Sort
   Bubble Sort Analysis
   Insertion Sort
   Insertion Sort Analysis
   Quick Sort
   Quick Sort Analysis
   Quick Sort, Merge Sort Discussion
   Questions

Topics of Data Structures and interaction
Who this course is for:

   fresh students, C programmers

Requirements

   C language

Last Updated 7/2021

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