Blog
Data Type vs Data Structure
In general both data type and data structure seems to be the same thing as both deals with the nature and organizing of data but among two one describes the type and nature of data while other represents the collections in which that data can be stored.
Posted September 12, 2022 by Rohith and Anusha ‐ 2 min read
⌖ quick-references blog data-type data-structure differences
Single Linked List vs Doubly Linked List
Both Singly linked list and Doubly linked list are the implementation of Linked list in which every element of singly-linked list contains some data and a link to the next element, which allows to keep the structure. On the other hand, every node in a doubly-linked list also contains a link to the previous node.
Posted September 12, 2022 by Rohith and Anusha ‐ 2 min read
⌖ quick-references blog single-linked-list doubly-linked-list differences
Binary Search Tree vs Avl Tree
The binary search tree is a tree data structure that follows the condition of the binary tree. As we know, that tree can have 'n' number of children, whereas; the binary tree can contain the utmost two children. An AVL tree is a self-balancing binary search tree where the difference between heights of left and right subtrees cannot be more than one.
Posted September 12, 2022 by Rohith and Anusha ‐ 3 min read
⌖ quick-references blog binary-search-tree avl-tree differences
Red Black Tree vs Avl Tree
An AVL tree is a self-balancing binary search tree where the difference between heights of left and right subtrees cannot be more than one. A Red Black Tree is a category of the self-balancing binary search tree.
Posted September 12, 2022 by Rohith and Anusha ‐ 2 min read
Delete vs Drop
Delete is a Data Manipulation Language command, DML command and is used to remove tuples/records from a relation/table. Whereas Drop is a Data Definition Language, DDL command and is used to remove named elements of schema like relations/table, constraints or entire schema.
Posted September 12, 2022 by Rohith and Anusha ‐ 1 min read