Data structure and algorithm ( DSA ) are two critical concepts in computer science and software development. Data structure is a way of organizing and storing data in a computer so that it can be accessed and used efficiently. On the other hand, an algorithm is a set of instructions or steps used to solve a particular problem or perform a specific task. In this post, we will explore the relationship between data structure and algorithm, and why they are essential for software development.
Data structures and algorithms ( DSA ) are closely related because the choice of data structure affects the efficiency of the algorithm. For example, if we use an array to implement a stack, the push and pop operations will be efficient because they can be done in constant time. However, if we use a linked list to implement a stack, the push and pop operations will be less efficient because they involve traversing the linked list. Let’s Learn DSA with our free Tutorial step wise.
This PDF contain Handwritten Notes of Data Structure and Algorithm (DSA).The content inside the DSA PDF are organized in such a way that it is useful for both academic as well as interview purpose.
Topics covered In this PDF :
- DS Introduction
- DS Algorithm
- Asymptotic Analysis
- DS Pointer
- DS Structure
- DS Array
- DS Array2D Array
- DS Linked List
- Linked List
- Types of Linked List
- Singly Linked List
- Doubly Linked List
- Circular Linked List
- Circular Doubly List
- Skip list in DS
- DS Stack
- DS Stack
- Array Implementation
- Linked List Implementation
- DS Queue
- DS Queue
- Types of Queues
- Array Representation
- Linked List Representation
- Circular Queue
- Deque
- Priority Queue
- Binary Tree
- Binary Search Tree
- etc….
- DATA STRUCTURES
Master Core Data Structures & Algorithms Concepts.
Access complete handwritten notes covering arrays and trees to prepare for your university exams and technical interviews.
