R20 Data Structures DSA

Harshith Ravuri
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What is Data Structures in programming languages?

A data structure is a process of organizing the data in organized manner . There are several basic and advanced types of data structures, each designed to organize data for a specific purpose. Data structures make it easy for users to conveniently access and work with the data they need. More importantly, data structures frame the organization of information so that it can be better understood by machines and humans.

   

In computer science and computer programming, a data structure can be chosen or designed to store data for use with various algorithms.


In some cases, the basic operations of the algorithm are closely related to the design of the data structure. Each data structure contains information about the data values, the relationships between the data, and in some cases the functions that can be applied to the data.


For example, in an object-oriented programming language, the data structure and its associated methods are bound together as part of a class definition. In non-OOPs languages ​​there may be functions defined to operate on the DSA, but technically they are not part of the dsa


Why are DSA is important for future purpose?


Typical fundamental data types such as integers or floating point values ​​available in most computer programming languages ​​are generally insufficient to capture the logical intent of data processing and usage . However, applications that input, manipulate, and produce information need to understand how the data should be organized to simplify processing. Data structures logically bring data elements together, facilitating the effective use, persistence, and sharing of data.

They provide a formal model that describes how data elements are organized.


The data structures are the Building blocks for more demanding applications.


They are designed by assembling data elements into a logical entity that represents an abstract data type relevant to the algorithm or application. An example of an abstract data type is a "customer name" composed of strings for "first name", "middle name" and "last name".


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