DSA Day Introduction

Hello everyone!

I will start a blog series focused on data structures and algorithms (DSA). The tutorial content is based on my study and experience.

I will write these tutorials in C and provide introductory tutorials for beginners in C.

Although DSA can be implemented in languages ​​such as C, Java, or Python,

But I chose to use C.

This is a simple introduction, so don’t worry about not being able to understand it. The follow-up article will explain in detail.

This is just a preview of our discussion topic.

C language beginners are advised to learn the basics of C language first. If you are familiar with Java, it is even better.

My blog aims to help everyone learn C and DSA at the same time.

Original data structure

Raw data structures are the most basic data types in programming languages. Common raw data structures include:

1. Int: Indicates an integer without a fractional part. For example: -1, 0, 4
2. Float, double: represents a real number with a decimal part. For example: 3.14, -0.001, 2.71828
3. Character (char): represents a single character, usually enclosed in single quotes. For example: 'a', 'z', '9', '#'
4. Boolean value (bool): represents a true or false value, that is, true or false. Used for conditional statements and loops.
5. String: Represents a sequence of characters, usually used to store text, enclosed in double quotes. For example: "Hello, world!", "python", "12345"

 <code class="c  ">#include <iostream> using namespace std; int main() { // Integer int age = 25; cout </iostream></code>

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Non-original data structure

A non-primitive data structure, also known as a composite data structure or user-defined data structure, is more complex than the original data structure. They are combined from raw data structures to store and manage more complex data collections.

• Array: an ordered collection of elements of the same type, stored in continuous memory locations.
• Linked list: A collection of elements, each element pointing to the next element, allowing dynamic memory allocation.
• Stack: A linear data structure that follows the principle of last in first out (LIFO). For example: a pile of dishes that can only be added or removed from the top.
• Queue: A linear data structure that follows the first-in first-out (FIFO) principle. For example: wait in line, and the first person who comes will serve first.
• Tree: A hierarchical data structure with root nodes and child nodes, used to represent hierarchical relationships. For example: binary tree, binary search tree.
• Figure: A collection consisting of nodes (vertices) and edges to represent network relationships. For example: social networks, computer networks.
• Hash table: The data structure that stores key-value pairs, and uses a hash function to calculate the storage location.

 <code class="c  ">// ... (code examples for non-primitive data structures would go here)</code>

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