Learn Data Structures and Algorithms

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Learn Data Structures and Algorithms, Learn Python Data Structures, Learn Algorithms. Data Structures are the programmatic way of storing data so that data can be used efficiently. Almost every enterprise application uses various types of data structures in one or the other way. This tutorial will give you a great understanding on Data Structures needed to understand the complexity of enterprise level applications and need of algorithms, and data structures.

This App is designed for Computer Science graduates as well as Software Professionals who are willing to learn data structures and algorithm programming in simple and easy steps.

Before proceeding with this app, you should have a basic understanding of C programming language, text editor, and execution of programs, etc.

Topics

Introduction to Data Structures and Algorithms

Data Structures and Algorithms Environment Setup

Learn Algorithms Basics

Asymptotic Analysis

Greedy Algorithms

Divide and Conquer

Dynamic Programming

Learn Data Structures

Learn Data Structure Basics

Learn Array Data Structure

Linked Lists

Linked List Basics

Doubly Linked List

Circular Linked List

Stack and Queue

Expression Parsing

Searching Techniques

Linear Search

Binary Search

Interpolation Search

Hash Table

Sorting Techniques

Sorting Algorithms

Bubble Sort

Insertion Sort

Selection Sort

Merge Sort

Shell Sort

Quick Sort

Graph Data Structure

Depth First Traversal

Breadth First Traversal

Tree Data Structure

Tree Traversal

Binary Search Tree

AVL Tree

Spanning Tree

Heap

Learn Data Structure and Algorithms

Data Structures are the programmatic way of storing data so that data can be used efficiently. Almost every enterprise application uses various types of data structures in one or the other way. This app will give you a great understanding on Data Structures needed to understand the complexity of enterprise level applications and need of algorithms, and data structures.

Learn Algorithms

Algorithm is a step-by-step procedure, which defines a set of instructions to be executed in a certain order to get the desired output. Algorithms are generally created independent of underlying languages, i.e. an algorithm can be implemented in more than one programming language.

Learn Tree Data Structure

Tree represents the nodes connected by edges. We will discuss binary tree or binary search tree specifically. Binary Tree is a special data structure used for data storage purposes. A binary tree has a special condition that each node can have a maximum of two children. A binary tree has the benefits of both an ordered array and a linked list as search is as quick as in a sorted array and insertion or deletion operation are as fast as in linked list.

Learn Stack

A stack is an Abstract Data Type, commonly used in most programming languages. It is named stack as it behaves like a real-world stack.

Learn Heap

Heap is a special case of balanced binary tree data structure where the root-node key is compared with its children and arranged accordingly.

Learn Asymptotic analysis

Asymptotic analysis of an algorithm refers to defining the mathematical boundation/framing of its run-time performance. Using asymptotic analysis, we can very well conclude the best case, average case, and worst case scenario of an algorithm.

Learn Linear search

Linear search is a very simple search algorithm. In this type of search, a sequential search is made over all items one by one. Every item is checked and if a match is found then that particular item is returned, otherwise the search continues till the end of the data collection.

Learn Data Structures Linked List

A linked list is a sequence of data structures, which are connected together via links.

Linked List is a sequence of links which contains items. Each link contains a connection to another link. Linked list is the second most-used data structure after array.