Data structures
Data structures are a way of organizing and storing data in a computer so that it can be accessed and modified efficiently. Different types of data structures are suited to different kinds of applications, and some are highly specialized to specific tasks.
Types of Data Structures
Primitive Data Structures (Datatypes): These are the basic data types like int, char, float, and boolean that serve as the building blocks for data manipulation.
Composite Data Structures (Datatypes): These are made up of primitive data types or other data structures. Examples include arrays, structures, and classes.
Abstract Data Types (ADT): These are more theoretical concepts of data structures that include Lists, Stacks, Queues, Trees, Graphs, Sets, and Maps.
Key Operations on Data Structures
Insertion: Adding a new data element to the structure.
Deletion: Removing an element from the structure.
Traversal: Accessing and/or printing all the elements.
Searching: Finding a specific element.
Sorting: Arranging elements in a certain order.
Access: Retrieving an element at a given position.
Importance of Data Structures
Data structures are crucial because they provide a means to manage huge amounts of data efficiently, such as large databases and internet indexing services. Choosing the appropriate data structure for a task can enhance a program's performance in terms of time and memory usage.
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