Introduction to Data Structures
What is Data? Data refers to any information that is processed or stored by a computer. Type of Data 1) Raw Data Unprocessed data that has not been organized or structured for analysis. For example: Numbers or text entered by a user before processing. 2) Processed Data Processed data that has been organized into tables, graphs, or reports. What is Data Structure? A data structure is a way to store and organize data so that it can be accessed and manipulated efficiently. A data structure is not any programming language like C, C++, Java, etc. Why Do We Use DSA? DSA allows you to solve problems more efficiently. Choosing the right data structure can make your program run faster and use less memory. Using the right DSA can help you find optimized solutions for problems, especially when dealing with large amounts of data. DSA helps you break big problems into smaller parts, which helps in solving complex problems. For websites, apps, and games, DSA helps ensure that the system can handle large amounts of data quickly. Mastering DSA can improve your problem-solving abilities and increase your chances of success in technical interviews. Types of Data Structures 1) Primitive Data Structure Primitive Data Structure are Basic Data Structure Provided by Programing Language's that Stores the Data of Only one Type. Such as :- Integer, Float , String , Character etc. 2) Non-Primitive Data Structure Non-primitive data structures are derived from primitive data structures. They are a collection of the same type or different types of primitive data structures. Such as: Array, Stack, Tree. ⇒ Linear Data Structure Linear data structures are a type of data structure where data is stored sequentially. This means that each element is connected to the previous one, and the next one element is in a linear form. 1) Array An array is a collection of elements stored in contiguous memory locations. Link Join Discord :- https://github.com/Coder-Studies Follow Us of Github :- https://github.com/Coder-Studies
What is Data?
Data refers to any information that is processed or stored by a computer.
Type of Data
1) Raw Data
- Unprocessed data that has not been organized or structured for analysis.
- For example: Numbers or text entered by a user before processing.
2) Processed Data
- Processed data that has been organized into tables, graphs, or reports.
What is Data Structure?
A data structure is a way to store and organize data so that it can be accessed and manipulated efficiently.
A data structure is not any programming language like C, C++, Java, etc.
Why Do We Use DSA?
- DSA allows you to solve problems more efficiently.
- Choosing the right data structure can make your program run faster and use less memory.
- Using the right DSA can help you find optimized solutions for problems, especially when dealing with large amounts of data.
- DSA helps you break big problems into smaller parts, which helps in solving complex problems.
- For websites, apps, and games, DSA helps ensure that the system can handle large amounts of data quickly.
- Mastering DSA can improve your problem-solving abilities and increase your chances of success in technical interviews.
Types of Data Structures
1) Primitive Data Structure
Primitive Data Structure are Basic Data Structure Provided by Programing Language's that Stores the Data of Only one Type.
Such as :- Integer, Float , String , Character etc.
2) Non-Primitive Data Structure
Non-primitive data structures are derived from primitive data structures.
They are a collection of the same type or different types of primitive data structures.
Such as: Array, Stack, Tree.
⇒ Linear Data Structure
- Linear data structures are a type of data structure where data is stored sequentially.
- This means that each element is connected to the previous one, and the next one element is in a linear form.
1) Array
- An array is a collection of elements stored in contiguous memory locations.
Link
Join Discord :- https://github.com/Coder-Studies
Follow Us of Github :- https://github.com/Coder-Studies
