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Data is statistics and facts collected together for analysis or reference. But when this data is not organized properly, chances are that it will be lost and won’t be of any use. To avoid the data from losing, in computer science, people use Data Structure. It is a way of managing and organizing data in such a manner that it is easy to find and easy to use as well. Data Structures are about rendering the elements of data in terms of some relationship, for better storage and organization.
In simple language, Data Structures are the programmatic technique of storing and managing data so that data can be used resourcefully. The data structure is used by most big organizations because it makes it easy for them to manage their information and use it effectively when they need it.
According to our data structure experts, there are 2 basic types of data structure: 1. Linear data structure and 2. The non-Linear data structure is further divided into 6 types. A linear data structure goes across the data elements in the sequence, in which only one element can be reached directly. In a Non-linear structure, every data item is attached to numerous other data items. Here, the data items are not arranged in a sequence.
In linear structure, you have an array, stack, queue and linked list structure. In Non-infrastructure, you have graph and tree structures.
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Data structures have multiple benefits for various organizations. Different data structures are used for different purposes. The data structure is used in almost every software system and program. Particular data structures are necessary elements of many well-organized algorithms and make it possible the management of enormous amounts of data, such as a huge integrated collection of databases. The use of apt data structure allows a computer system to perform its task more resourcefully, by influencing the capacity of the computer to store and recover data from any location in its memory. Various kinds of data structures are suitable for different computer applications and tasks. In computer science, data structure holds a lot of importance as with it; none of the processes will be complete.
Data structure refers to the way computer scientists organize information on their computers. For example, if you want to get ‘Shakespeare’s Hamlet’ from a library, you won’t look through all the racks. You will specifically visit the English literature section, find the section for Shakespeare’s book and look alphabetically for Hamlet. This is what computer scientists do while data organizing. They put it in a proffered format with proffered data so they can search for it and modify it later whenever they need it.
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The key concepts in the data structure that every student should be aware of are listed below:
|Data Structure TOPICS|
|Data Structures and Algorithms||The String Abstract Data Type|
|Object-Oriented Design Principles||Data Structure Sequences|
|AVL Trees||Priority Queue as a Sequence|
|Asymptotic Analysis||The Priority Queue Abstract Data Type|
|Brute-Force String Pattern Matching||Binary Search Trees|
|The Tree Abstract Data Type||Hash Tables|
|Data Structures for Representing Trees||Complexity of Sorting|
|Graph Traversal||Selection and Sorting|
|Analysis of Algorithms||Merge Sort, Quick Sort, Radix Sort|
|Basic Algorithms on Trees||Data Structures for Graphs|
|Regular Expression Pattern Matching|
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