Data Structures and Its Applications

These flashcards cover the key concepts, definitions, and classifications related to data structures and their applications.

What is data?

Data is a collection of facts and figures or a set of values of a specific format that refers to a single set of item values.

What is a data structure?

A data structure is a particular way of storing and organizing data in the memory of the computer to enable easy retrieval and efficient utilization.

What are examples of data structures?

Examples of data structures include Arrays, Linked Lists, Stacks, Queues, and Trees.

What are the key features of data structures?

Key features include robustness, adaptability, and reusability.

What does DSA stand for?

DSA stands for Data Structures and Algorithms.

What are primitive data structures?

Primitive data structures are the basic data types such as Integer, Float, Character, and Boolean that are built into programming languages.

What is the difference between Primitive and Non-Primitive Data Structures?

Primitive Data Structures are basic types that can be manipulated directly by machine instructions, while Non-Primitive Data Structures are derived from Primitive Structures and consist of collections of data that may be homogeneous or heterogeneous.

What is an entity in data structures?

An entity represents a class of certain objects and consists of various attributes.

What is the role of algorithms in data structures?

Algorithms complement data structures by providing step-by-step procedures to process the organized data.

Define Record in the context of data structures.

A record is a collection of different data items grouped together, such as an employee's name, ID, address, and job title.