Computer programs are a compilation
of instructions that is capable of performing specific tasks. And for this the
computer program needs storing of data, retrieve data as well carry out certain
computations on the data and this is where **Data structures and algorithm **have a part to play.

**What are data
structure and its use?**

A location that is named and which can
be used to organize as well as store data is known as data structure. On the
other hand an algorithm is an accumulation of various steps that is needed to
solve a certain problem. In order to write a computer program that is
well-organized as well as optimized one has to learn **Data structures and algorithm**.

A structure for data in **Data structures and algorithm** are
utilised for not just data organisation. Additionally, it is employed for data
processing, retrieval, and archiving. Almost all software systems and
programmes that have been built use many fundamental plus advanced forms of
data structures. Therefore, we need to be well-versed in data structures.

**Data
structure and algorithm applications**

An algorithm is a step-by-step process
that specifies a list of instructions to be carried out in a specific order so
as to obtain the intended result. An algorithm can be implemented in more than
one programming language because algorithms are typically constructed
independent of the fundamental languages.

The following are some significant
categories from the data structure perspective in **Data Structures and Algorithms:**

·
The search algorithm is used to locate an entity
in a data arrangement.

·
The Sort algorithm is used to arrange items in
a specific order.

·
The Insert algorithm is used to introduce item
in a data arrangement.

·
The Update algorithm is used to modify an active
item in a data arrangement.

·
The Delete algorithm is used to erase an active item
from a data arrangement.

**Categorization of data arrangement: **

Data
structures can be categorised according to a range of applications in daily
life. Numerous alternative data structures are employed to address a variety of
logical as well as mathematical issues. Huge quantity of data can be organised
and processed in a moderately short amount of time by applying data structure.
Let's examine several data structures that are applied in various contexts.

·
**Linear
data arrangement:**

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. The different instances
of linear data arrangement are linked list, array, queue, stack, etc.

**Non-linear data arrangement:**

Non-linear
data structures are those in which the placement of data items is not linear or
chronological. We cannot navigate through every element of a non-linear data
structure in a single operation. The different instances of non-linear* *data arrangement are graphs as well as
trees.

**Requirement of data in Data structures and algorithm:**

The
arrangement of the data in **Data structures and algorithm** s well as the blend of the algorithm are linked to
each other. Data arrangement has to be in such a way that it is easier to
comprehend so that the developer plus the user can efficiently implement the
operation. Therefore **data structures and algorithm** makes storing, retrieving, managing, as well as
organizing, data easier.

The requirement
for data is as follows:

- Modifying
the arrangement of data becomes easier.
- The
amount of time required becomes lesser.
- The
memory space used to store data can be saved.
- Representation
of data becomes easier.
- Accessing
huge database becomes easier.

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