Let's first Understand Java:
Java is a high-level, object-oriented programming language developed by Sun Microsystems.
Java is based on the WORA: Write Once Run Anywhere.
Any effective way of organizing data in structured format results in data structures.
For example, an array is used to store a list of the same type of data as it stores in a single line and in consecutive memory locations making traversing faster, etc.
These are very important concepts and are generally considered one of the most important topics for jobs related to java and other coding languages,
Java is a high-level, object-oriented programming language developed by Sun Microsystems.
Java is based on the WORA: Write Once Run Anywhere.
Any effective way of organizing data in structured format results in data structures.
For example, an array is used to store a list of the same type of data as it stores in a single line and in consecutive memory locations making traversing faster, etc.
These are very important concepts and are generally considered one of the most important topics for jobs related to java and other coding languages,
so let's understand what are data
structures?
The data structure name is made of "data" & "structure", as the name suggests it is providing "structure" to "data", meaning the data is organized inside the memory.
These said "structures" are a lot in number.
Let's learn and understand some basic terminology before we proceed with data structures.
Data: It is raw facts or information. It can be numbered, it can be words(strings) and it can be a value or a collection of said values.
Field: It is a single elementary unit of information representing the attribute of an entity.
Entity: It represents the class of objects and it has these things called "attributes", each of which provides and represents a particular property of the said entity.
Data can be organized in many ways and there are a lot of ways these structures can be differentiated between one another, but mainly these data structures are classified as primitive and non-primitive data structures.
These data structures can be static or dynamic as well.
Non-Primitive data structures can be divided further as linear and non-linear.
The following is a shortlist of Data Structures using Java:
1. Array
2. List
3. Stack & Queue
4. Trees
5. Heap
6. Graphs
To know more about the different types of data structures, check out the next post
What are the needs of data structures?
The applications are getting more complex and the amount of data is increasing day by day.
To tackle these problems we need data structures.
The applications require a high processing speed, by simply increasing the hardware won't solve the problem instead, working on efficient data structures is the way to go.
There are other needs of the data structures like when searching for data and organization of data for multiple requests.
To know more about this, check out our post on the need for data structures.
Operations on data structures
1. Traversing
2. Insertion
3. Deletion
4. Searching
5. Sorting
6. Merging
To know more about this, check out our post on the Operations on data structures.
This post is an introduction post, meaning we have briefly discussed some of the major topics, to know more detailed information check out our other posts on Java & Data Structures.
The data structure name is made of "data" & "structure", as the name suggests it is providing "structure" to "data", meaning the data is organized inside the memory.
These said "structures" are a lot in number.
Let's learn and understand some basic terminology before we proceed with data structures.
Data: It is raw facts or information. It can be numbered, it can be words(strings) and it can be a value or a collection of said values.
Field: It is a single elementary unit of information representing the attribute of an entity.
Entity: It represents the class of objects and it has these things called "attributes", each of which provides and represents a particular property of the said entity.
Data can be organized in many ways and there are a lot of ways these structures can be differentiated between one another, but mainly these data structures are classified as primitive and non-primitive data structures.
These data structures can be static or dynamic as well.
Non-Primitive data structures can be divided further as linear and non-linear.
The following is a shortlist of Data Structures using Java:
1. Array
2. List
3. Stack & Queue
4. Trees
5. Heap
6. Graphs
To know more about the different types of data structures, check out the next post
What are the needs of data structures?
The applications are getting more complex and the amount of data is increasing day by day.
To tackle these problems we need data structures.
The applications require a high processing speed, by simply increasing the hardware won't solve the problem instead, working on efficient data structures is the way to go.
There are other needs of the data structures like when searching for data and organization of data for multiple requests.
To know more about this, check out our post on the need for data structures.
Operations on data structures
1. Traversing
2. Insertion
3. Deletion
4. Searching
5. Sorting
6. Merging
To know more about this, check out our post on the Operations on data structures.
This post is an introduction post, meaning we have briefly discussed some of the major topics, to know more detailed information check out our other posts on Java & Data Structures.