Udemy - Data Structures in Depth Free Download

Udemy – Data Structures in Depth
English | Tutorial | Size: 15.19 GB

Hands on Implementation / Coding with Data Structures
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

Threaded Binary Trees

Need for Threaded Binary Tree (TBT)

Threaded Binary Tree Overview

One way Structure, Traversal

Two way Structure, Traversal

Insert functionality

Traversal functionality

Delete functionality

AVL Trees

Need for AVL Trees

AVL Tree Overview

Tree Rotations (Left, Right)

Insert cases, Application of Insert cases

Insert Functionality code, Demo

Functions Code – LeftRight rotations, RightLeft rotations,

Delete Functionality, Rotations needed for Delete

Graphs

Graph Types

Adjacency Matrix, Adjacency List

Traversals

BFS (Breadth First Search)

BFS Algorithm

DFS (Depth First Search)

DFS Algorithm

Spanning tree

Dijkstra Shortest path Algorithm

Minimum Spanning tree

Prim’s algorithm

Kruskal algorithm

Hashing, Collision Resolution

Hashing

Hash Functions

Collision Resolution

Open Addressing (Closed Hashing)

Probing

Linear, Quadratic, Double hashing

Load factor of Hash Table

Deletion

Separate Chaining (Open Hashing)

Cuckoo Hashing

Lexicographic Order (Lexical Order)

Overview

Previous Permutation

Next Permutation

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