Data Structure Technical Assignment Help

Data Structure

Summary:

Data Structure can be defined as the group of data elements which provides an efficient way of storing and organising data in the computer so that it can be used efficiently. Some examples of Data Data structures are used to implement the physical forms of abstract data types. A data structure is not only used for organizing the data. It is also used for processing, retrieving, and storing data. There are different basic and advanced types of data structures that are used in almost every program or software system that has been developed. 

Introduction:

A data structure is a specialized format for organizing, processing, retrieving and storing data. There are several basic and advanced types of data structures, all designed to arrange data to suit a specific purpose. Data structures make it easy for users to access and work with the data they need in appropriate ways.

Classification of Data Structure:

• Linear data structure: Data structure in which data elements are arranged sequentially or linearly, where each element is attached to its previous and next adjacent elements, is called a linear data structure.

Array: It is the collection of similar data types that are stored in the Contiguous Memory Locations. Arrays are used in Python as well. Arrays work on the scale of 0 to (n-1), where ‘n’ denotes the size of the array. Arrays are of two types. They are- One-dimensional Array,

Multi-dimensional Array

Stack: The linear data structure stores the data elements in the ‘first-in/ last-out’ or the ‘last-in/ first out’ order. These orders are known as FILO and LIFO orders, respectively. By using Stack, the element can be added and removed simultaneously from the same end. In Python, Stack can be developed in the following ways. Queue.LifoQueue, List,Collections.dequ.

 In Stack, the terms ‘Push’ and ‘Pop’ are used instead of ‘insert’ and ‘delete’.

Queue: The queue is a linear data structure that follows the FIFO order. FIFO stands for First in And First Out. The order is that the elements which are inserted first are to be removed first. The properties of Queue data structure are-Inserting an element, deleting the element, Time of access.

Linked List: Linked Lists separate the data structures that are stored consecutively. The last node of a data structure will be linked to the first node of the next data structure. The first element of any data structure is known as the Head of the List. The linked list helps in memory allocation, stores data in internal structure etc. There are three types of Linked Lists. They are:

Single Linked List

Double Linked List

Circular Linked List

• Static data structure: Static data structure has a fixed memory size. It is easier to access the elements in a static data structure.

An example of this data structure is an array.

Dynamic data structure: In dynamic data structure, the size is not fixed. It can be randomly updated during the runtime which may be considered efficient concerning the memory (space) complexity of the code. 

Examples of this data structure are queue, stack, etc.

 

• Non-linear data structure: Data structures where data elements are not placed sequentially or linearly are called non-linear data structures. In a non-linear data structure, we can’t traverse all the elements in a single run only.

Examples of non-linear data structures are trees and graphs.

For example, we can store a list of items having the same data-type using the array data structure.

Types of Data:

• Boolean: Boolean is a data type, and the value in the Boolean can be either false or true or positive or negative. A Boolean type of data proves whether the data is valid or invalid. Boolean values have two possible states such as True or False. In the binary system, the values 0 and 1 are used.
• Integer: The integer data type stores both positive numbers and negative numbers along with zero. The integer data type uses all these integers to maintain precision. If the value of data is beyond the numerical range of the integer then it is the case that the database server cannot store the value. However, integer data type consumes four (4) bytes of storage per value.
• Fixed-point Numbers: Binary words are used to store numbers in digital electronics. A fixed-length string of bits (1s and 0s) is a binary word. The data type determines how these 1s and 0s are interpreted by hardware elements and software processes. There are two different data types for binary numbers: fixed-point and floating-point. Both signed and unsigned fixed-point data formats are available.
• String: A string data type consists of a series of characters, either in the form of a literal constant or a variable. The latter can either be constant in length or allow its elements to alter (after creation).

Data Structure Question & Answer:

Question 1: What is stack and queue?

Answer: Stack is a container of objects that are inserted and removed according to the last-in first-out (LIFO) principle. Queue is a container of objects (a linear collection) that are inserted and removed according to the first-in first-out (FIFO) principle.

Question 2: What is the use of data structure?

Answer: Data structures provide a means to manage large amounts of data efficiently for uses such as large databases and internet indexing services. Usually, efficient data structures are key to designing efficient algorithms.

Question 3: What is algorithm in data structures?

Answer: Algorithm is a step-by-step procedure, which defines a set of instructions to be executed in a certain order to get the desired output. Algorithms are generally created independent of underlying languages

 

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