Introduction to Data Structures:
Data structures are like containers that hold data in a specific way, making it easier to work with and manipulate in computer programs. They help organize information efficiently so that tasks like storing, retrieving, and sorting data can be done quickly.
Linear vs. Non-linear Data Structures:
Linear Data Structures
In this type of data structure, elements are arranged sequentially or linearly where each element is attached to its previous and next adjacent element. Examples include: Array, Stack, Queue, Linked List.
Non-linear Data Structures
Here, data doesn't follow a straight line but can spread out in different directions, like branches of a tree or paths in a maze. Examples include: Trees, Graphs.
Static vs. Dynamic Data Structures:
Static Data Structures
These have a fixed size that doesn't change once set. Examples include: Arrays.
Dynamic Data Structures
These can grow or shrink as needed, like a backpack where you can add or remove items freely. It can be randomly update during the runtime which may be considered efficient. Examples include: Linked List.
Understanding these basics helps in choosing the right structure for different tasks. As we explore each type further in this course, you'll see how they work in real programs and how to use them effectively for various tasks in programming.
