Role of data structure in Project development:

Data structures plays a very important role in a project development as data structure is the heart of any operation to be performed without data structure a project will be very bad and the user could only perform basic operations.

•Helps to solve a problem more efficiently:
Suppose a person develops a software module for solving business problems They may involve all software development lifecycle including requirement analysis, coding, design and maintenance of software. To perform the following operations data structure pplays a very important role. Also when the person develops the software and if he does not know the concepts of data structures properly then he will not be able to use the api(The Application programming interface (API) hides the internal implementation of data structure and the algorithm using object oriented programming principals) properly
How to choose correct data structure for solving a problem? When selecting a data structure to solve a problem, you should follow these steps. 1. Analyze your problem to determine the basic operations that must be supported. Examples of basic operations include inserting a data item into the data structure, deleting a data item from the data structure, and finding a specified data item. 2. Quantify the resource constraints for for each operation. 3. Select the data structure that best meets these requirements. This three-step approach to selecting a data structure operationalizes a data-centered view of choosing the data structure. The first concern is for the data and the operations to be performed on them, the next concern is the representation for those data, and the final concern is the implementation of that representation. To select data structure based on Implementation centered view of implementation following question should be asked

1. Are all data items inserted into the data structure at the beginning, or are insertions interspersed with other operations? Static applications (where the data are loaded at the beginning and never change) typically get by with simpler data structures to get an efficient implementation, while dynamic applications often require something more complicated. 2. Can data items be deleted? If so, this will probably make the implementation more complicated. 3. Are all data items processed in some well-defined order, or is search for specific data items allowed? “Random access” search generally requires more complex data structures.

Conclusion:
I would like to conclude by saying that data structures and algorithm indeed plays a very important role in project development as since it can make a project offer many functionalities also a person whose data structure and algorithm concepts are clear will be of great importance in project development.

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The importance of Data Structures

A software has two parts front end and back end. The front end provides an interface and the back end is called a database which contains records of customers. There can be million or trillion of customers. If we have to find out the record of a particular or a number of customers, it is done by a searching method which is an operation on the data structure.

If any software is to be run, at first it is fed into computer memory. In computer memory jobs are entered into queues. And the queue is also a concept of data structure. As we know when jobs and processes are entered then queues are formed. These queues can have too many jobs or processes. In queues, jobs are processed in the same order as they entered. If any job is created it is placed at the end of a queue. Suppose we have to add or delete any job in any order then the concept of the queue will be failed and the concept of link list will be used. If data is to be arranged alphabetically or numerically then it is done by sorting method which is an operation on the data structure. Data structure provides the right way to organize information in the digital space. If any data is to be stored in a hierarchical fashion then the concept of tree is used. It stores data in a hierarchical fashion. In windows, all the directories are stored using the concept of trees.

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Real life applications of DSA in Project development

DSA is a wide topic and has its implementation in various fields.Here we can understand the usage of Data structures in project development.

Arrays
Arrays are the simplest data structures that stores items of the same data type. A basic application of Arrays can be storing data in tabular format.
Applications of arrays for project development are as follows:
1.Arrangement of leader-board of a game can be done simply through arrays to store the score and arrange them in descending order to clearly make out the rank of each player in the game.
2.A simple question Paper is an array of numbered questions with each of them assigned to some marks.

Linked List
A linked list is a sequence data structure, which connects elements, called nodes, through links.
Applications of linked lists for project development are as follows:
1.Images are linked with each other. So, an image viewer software uses a linked list to view the previous and the next images using the previous and next buttons.
2.Web pages can be accessed using the previous and the next URL links which are linked using linked list.
3.The music players also use the same technique to switch between music.

Stacks
A stack is a data structure which uses LIFO order.
Applications of stack for project development are as follows:
1.Syntaxes in languages are parsed using stacks.
2.It is used in many virtual machines like JVM.
3.Forward – backward surfing in browser
4.History of visited websites

Queue
A queue is a data structure that uses FIFO order.
Applications of queue for project development are as follows:
1.To handle congestion in networking queue can be used.
2.Data packets in communication are arranged in queue format.
3.Sending an E-mail, it will be queued.
4.Uploading and downloading photos

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