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.