## DSA Tutorial

DSA HOME DSA Intro DSA Simple Algorithm

## Arrays

DSA Arrays DSA Bubble Sort DSA Selection Sort DSA Insertion Sort DSA Quick Sort DSA Counting Sort DSA Radix Sort DSA Merge Sort DSA Linear Search DSA Binary Search

## Stacks & Queues

DSA Stacks DSA Queues

## Hash Tables

DSA Hash Tables DSA Hash Sets DSA Hash Maps

## Trees

DSA Trees DSA Binary Trees DSA Pre-order Traversal DSA In-order Traversal DSA Post-order Traversal DSA Array Implementation DSA Binary Search Trees DSA AVL Trees

## Graphs

DSA Graphs Graphs Implementation DSA Graphs Traversal DSA Cycle Detection

## Shortest Path

DSA Shortest Path DSA Dijkstra's DSA Bellman-Ford

## Minimum Spanning Tree

Minimum Spanning Tree DSA Prim's DSA Kruskal's

## Maximum Flow

DSA Maximum Flow DSA Ford-Fulkerson DSA Edmonds-Karp

## Time Complexity

Introduction Bubble Sort Selection Sort Insertion Sort Quick Sort Counting Sort Radix Sort Merge Sort Linear Search Binary Search

## DSA Reference

DSA Euclidean Algorithm DSA Greedy Algorithms DSA 0/1 Knapsack DSA Memoization DSA Dynamic Programming DSA Tabulation DSA The Traveling Salesman

## DSA Examples

DSA Examples DSA Exercises DSA Quiz DSA Certificate

# DSA Tutorial

## Learn Data Structures and Algorithms

Data Structures and Algorithms (DSA) is a fundamental part of Computer Science that teaches you how to think and solve complex problems systematically.

Using the right data structure and algorithm makes your program run faster, especially when working with lots of data.

Knowing DSA can help you perform better in job interviews and land great jobs in tech companies.

Start learning DSA now »

## This Tutorial

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First, you will learn the fundamentals of DSA: understanding different data structures, basic algorithm concepts, and how they are used in programming.

Then, you will learn more about complex data structures like trees and graphs, study advanced sorting and searching algorithms, explore concepts like time complexity, and more.

This tutorial will give you a solid foundation in Data Structures and Algorithms, an essential skill for any software developer.

## Try it Yourself Examples in Every Chapter

In every chapter, you can edit the examples online, and click on a button to view the result.

The code examples in this tutorial are written in Python, C, and Java. You can see this by clicking the "Run Example" button.

### Example

``````my_array = [7, 12, 9, 4, 11]
minVal = my_array[0]

for i in my_array:
if i < minVal:
minVal = i

print('Lowest value:',minVal)
``````
Run Example ยป

## What You Should Already Know

Although Data Structures and Algorithms is actually not specific to any programming language, you should have a basic understanding of programming in one of these common programming languages:

## DSA History

The word 'algorithm' comes from 'al-Khwarizmi', named after a Persian scholar who lived around year 800.

The concept of algorithmic problem-solving can be traced back to ancient times, long before the invention of computers.

The study of Data Structures and Algorithms really took off with the invention of computers in the 1940s, to efficiently manage and process data.

Today, DSA is a key part of Computer Science education and professional programming, helping us to create faster and more powerful software.

## Exercise:

What does DSA stand for?

```DSA stands for  Structures and .
```

Start the Exercise

## DSA Quiz ?

Learn by taking a quiz! The quiz will give you a signal of how much you know about Data Structures and Algorithms.

## My Learning

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## Learn by Examples

Learn by examples! This tutorial supplements all explanations with clarifying examples.

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