DSA (Data Structures and Algorithms) refers to the study of organizing and manipulating data efficiently using various computational methods and structures.

Need for Data Structures and Algorithms

• Efficiency: They help in organizing and managing data efficiently, leading to optimized code performance.

Data Structures and Algorithms are essential in computer science and programming for several reasons:

• Problem-solving: DSA provides tools and techniques to solve complex computational problems effectively.
• Scalability: Well-designed data structures and algorithms enable programs to handle large amounts of data and grow without significant performance loss.

Types of Data Structures

Data structures can be broadly categorized into two types:

• Linear Data Structures
  • Arrays
  • Linked Lists
  • Stacks
  • Queues
• Non-linear Data Structures
  • Trees
  • Graphs
  • Hash Tables

Types of Algorithms

Algorithms can be classified based on their design approach or the problem they solve:

• Sorting Algorithms (e.g., Bubble Sort, Merge Sort)

• Searching Algorithms (e.g., Binary Search, Linear Search)

• Dynamic Programming

• Greedy Algorithms

• Divide and Conquer Algorithms

  How to find various types of complexity?

1. Time Complexity:

• Type: Measures the execution time of an algorithm as a function of input size.