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Data structure and its Importance

Abstract data structure: There are certain complex types of data such as tree, stack & queue, linked list, etc. The concept to handle a large amount of data that are complex and connected is called abstract data structure. You can receive a detailed knowledge about these concepts by joining an online data structures course.

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Data structure and its Importance

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  1. Data Structure And Its Importance

  2. Data structure is a process through which data is stored and arranged in the disk space of the computer or memory storage, in a way that the data can be easily used and manipulated in the future. It is an effective way of performing various operations related to data management. With a sufficient understanding of data structure data can be organized and stored in a proper manner. Data structures are designed to organize data in order to suit specific purposes so as to access and perform operations in an appropriate manner. Anyone with a PC and internet connection can join onlinedata structures and algorithms course.

  3. There are basically two main types of data structures: 1. Primitive data structure 2. Abstract data structure Primitive data structure: The concept to handle, in an efficient way, certain types of data including Boolean & char, float, integer, etc. is called primitive data structure. Abstract data structure: There are certain complex types of data such as tree, stack & queue, linked list, etc. The concept to handle a large amount of data that are complex and connected is called abstract data structure. You can receive a detailed knowledge about these concepts by joining an online data structures course.

  4. The two type of abstract data structure are: • Stacks: Stacks are simple data structure which allow addition and removal of elements in a specific manner. Whenever there is an addition of some element, it is send to the highest spot of the stacks. And the element that is on the topmost of the stack can be removed first. The concept is similar to a pile of items. • Queue: Queue is another type of abstract data structure, or linear data structure. In this type of structure, when an element is to be added, it is done from the rear end, known as tail. When an element is to be deleted, it is done from the front end, known as head. It follows the concept of FIFO data structure, which means first in first out.

  5. The element that is entered first will be removed first as well. The process of making addition of element to the data structure is known as Enqueue. The process of removing an element from the data structure is known as Dequeue. You ca gain an in-depth knowledge on this topic through joining data structures course online. Algorithms can be defined as a set of logic or rules in an appropriate flow used to fulfill predefined tasks. If an algorithm consumes lower memory space and lesser time to execute, then it can be said that the specific algorithm is fast and efficient. The efficiency of an algorithm is determined through the following properties:

  6. • Space complexity: The memory space needed by a specific algorithm to be executed is known as space complexity. • Time Complexity: The time required by a program to be completed is known as time complexity. Through the above statement one can understand the purpose and importance of data structures, which many programmers fail to care about.

  7. Thank you and visit us @ www.learnbay.in

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