1. Data Structure Introduction
1. About DSA
Learn the fundamentals of data structures and algorithms with our comprehensive tutorial. From arrays and linked lists to sorting and searching algorithms, we cover it all. Understand the complexities and trade-offs of different data structures, and how to choose the right one for your problem. Master essential algorithms, such as depth-first search, breadth-first search, and dynamic programming. Improve your problem-solving skills and become a more efficient coder with our Data Structure and Algorithm Tutorial.
2. What is Data Structure
3. Various Data structures
4. Various Data structures operations
5. Time Complexity
Time complexity is a way to measure the efficiency of an algorithm, specifically the amount of time it takes for the algorithm to run and complete its task. It is typically represented using big O notation, which expresses the upper bound on the number of operations an algorithm performs as a function of the size of the input. Time complexity is important in data structure and algorithm design because it helps identify and improve the performance of algorithms, particularly in large datasets.
6. Space Complexity
Space complexity is a measure of the amount of memory used by an algorithm during its execution. It refers to the amount of memory required to store the input and internal variables of the algorithm, and is typically measured in terms of the size of the input. The goal of an algorithm's design is to minimize the space complexity, making it more memory efficient.
7. Algorithm Design Techniques
Algorithm Design Techniques
8. What is Algorithm?
An algorithm is a step-by-step procedure or formula for solving a problem or performing a task. It is the foundation of computer programming and software development. This comprehensive guide explains what an algorithm is, its characteristics, types, and real-world examples, helping beginners and professionals understand how algorithms power everything from search engines to mobile apps.
2. Map in Data Structure
1. Map in Data Structure
Map in Data Structure
3. Dictionary in Data Structure
1. Dictionary in Data Structure
Dictionary in Data Structure
4. Array
1. Array Introduction in Data Structure
2. Two-dimension Array in Data Structure
3. Multi-dimensional Array
4. Operations on Array
5. Traversal
6. Selection
7. Insertion
8. Deletion
5. Linked List
1. Linked List Introduction
2. Array and Linked List
3. Singly linked list
4. Doubly linked list
5. Circular linked list
6. Stack Data Structure
1. Stack Data Structure Introduction
2. Stack operations and Implementation
3. Stack implementation using Linked List
4. Polish Notation
5. Postfix Evaluation Algorithm
6. Infix to Postfix Conversion
Learn the method of converting Infix expressions to Postfix expressions in this comprehensive tutorial. Understand the step-by-step process with examples and implement it in your next data structure project. Master the technique of Infix to Postfix conversion with our easy-to-follow guide.
7. Infix to Prefix Conversion
7. Queue Data Structure
1. Queue Introduction
2. Queue Implementation using Structure
3. Queue Implementation using Array
4. Queue Implementation using Linked List
5. Priority Queue Implementation using Array
6. Queue Implementation using Stack
7. Circular Queue
8. Searching
1. Linear Search
2. Binary Search
9. Tree
1. Tree Introduction
2. Types of tree
3. Binary Tree
4. Complete Binary Tree
5. Skewed Binary Tree
6. Extended Binary Tree
7. AVL Tree
8. level and height of the tree
10. Graph
1. Graph in Data Structure
Learn about Graph Data Structure in this comprehensive tutorial. Understand the concepts of vertices, edges, and graph representations, as well as various algorithms for traversing and manipulating graphs such as Breadth-First Search and Depth-First Search. Discover the importance of Graphs in real-world applications and the time and space complexities of different graph algorithms. Enhance your understanding of Graphs and improve your problem-solving skills with this useful tutorial.
2. Representation of Graphs
3. Graph Terminology
11. Sorting
1. Bubble Sort
2. Selection Sort
3. Merge Sort
4. Quick Sort
5. Insertion Sort
6. Heap sort
Heap sort
7. Bucket sort
Bucket sort
Data Structure