May 15
Explore Data Structure and Algorithm Part-1
Hello readers, Hope this sequence article will help you to completely understand Data Structure and Algorithms (DSA).
Firstly, I want to share the topic we are gonna cover whole parts 1 to 9. Topics are:
A: Introduction and Overview
A1: Basic Terminology
A2: Entity and Attributes
A3: Field file and record
B: Data Structure
B1: Classification of DS
B2: Non-primitive Data type
B2.1: Array
B2.2: LinkedList,
B2.3:Trees
B2.4: Trees have more diversion
B2.4.1: Stack.
B2.4.2: Queue
and finally
B2.4.3: Graph
C: Data Structure and Operation
C1:Traversing. C2: Searching. C3: Inserting. C4:Deleting C5:Sorting. C6:Marging
D: Complexity of Algorithm
Note: For this section, I’m going to share interesting things guys
A: Introduction and Overview
A data structure is a way of organizing data to the computer memory or database so that it can be used effectively.
Why we need Data Structure: Data structure provides efficiency , reusability and abstraction. It plays an important role in enhancing the performance of a program.
A2: Entity and Attributes
An entity is an object in DBMS that is used to model and store information while an attribute is a characteristic to define an entity.
Entity: Person, Car
Attributes:
Person => Name, Age, Id, Phone
Car => VehicalNumber, CarColor, Registration Number
A3: Field file and record
This example are showing a table. This table you can consider as a File and CUSID.FIRST.LAST.CITY.STATE those are field also it called column and finally, RECORD are every row of this table
Next part will come soon till then wait
Thank you
