Learn Data Structure

Android App Analysis and Review: Learn Data Structure, Developed by Offline Appsle. Listed in Education Category. Current Version Is 1.5.0, Updated On 08/05/2019 . According to users reviews on Google Play: Learn Data Structure. Achieved Over 10 Installs. Learn Data Structure Currently Has 1 Reviews, Average Rating 5.0 Stars

Learn Data Structures and Algorithms Offline. It's Easy to understand

This App enables reading concepts Offline (without the internet). Download our App and read it whenever you feel like. No internet connection is required.

This App lets developers or CS students or Engineering students or MCA students or Computer Students or anyone who is interested in learning easily review Data Structures and Algorithms from theory, implementation. If you are a programmer looking for your first programming job and preparing for coding interviews, or a student who is preparing for exams about data structures and algorithms, this app could be a right fit for you

All the algorithms and data structures are implemented in C. It's very easy to understand if you know C language.

The recently added Interview questions section will help you in preparing for interviews. Solutions are provided in C language or C++ or Java language

**Currently, we are covering following topics**

Interview Questions/ Examples Section:
Array Questions
String Questions
Linked List questions
Tree Questions

Data Structure Overview
Data Structure Basics
Arrays
Linked list
Doubly linked list
Circular linked list
Stack
Expression Parsing
Queue
Trees
Tree Traversal
Binary Search Tree
AVL Tree
Spanning Tree
Graph Data Structure
Depth First Traversal
Breadth First Traversal
Breadth First Traversal


Algorithm Basics
Asymptotic Analysis
Greedy algorithms
Divide and conquer
Dynamic Programming
Recursion Basics
Tower of Hanoi
Fibonacci Series


Linear Search
Binary Search
Interpolation Search
Hash Table

Sorting Algorithms
Bubble Sort
Insertion Sort
Selection Sort
Merge Sort
Shell Sort
Quick Sort
Heap Sort


* Arrays
* Strings
* Two Pointers
* Linked Lists
* Trees
* Depth First Search
* Breadth First Search
* Graphs
* Tries
* Hashing
* Stack
* Heap
* Dynamic Programming
* Back Tracking
* Implementation
* Math
* Sorting
* Searching
* Greedy
* Bit Manipulations
* Divide and Conquer
* Union Find
* Topological Sort

Added examples on Dynamic programming, Array, Strings, Linked Lists, Tree, Graphs

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