Introduction:
This book is a bunch of knowledge. If you are a Python programmer and were concerned that there wasn’t a book that taught data structures and algorithms in Python, you can stop worrying immediately. The Python programming language is used to explain the principles of data structures and algorithms in this book. The fundamentals of topics like greedy algorithms, dynamic programming, etc. are covered in this book. This book is frequently referred to as the Algorithms Bible. The book contains a large number of well-known algorithms on a wide range of subjects, including Dynamic Programming, Greedy techniques, sophisticated Graph Algorithms, Multithreaded Algorithms, algorithms connected to Number Theory, and others. The diagrams and the interactive nature of the book’s approach to all topics set it apart and add to its attraction.
Overview:
Data structure in java is a group of data elements that provides a useful way to store and organize data on a computer. Java data structures include arrays, Linked Lists, Stacks, Queues, and Queues. Sun Microsystems developed the high-level programming language known as Java. This language is secure, object-oriented, and trustworthy.
Learning Java data structure can help you improve your programming skills. A program is a collection of data structures and algorithms. Yes, you must be familiar with them both in order to effectively code in any programming language because they are integral aspects of every piece of code. To grasp the reasoning behind how abstractions behave, you must learn data structures and algorithms. You will eventually apply them in a way that will harm you if you don’t. Knowing algorithms helps you comprehend the issues they were designed to solve. That knowledge will be extremely helpful to you in your day-to-day work because those issues are common computer science and logic issues that arise whether you’re working on corporate software, hardware drivers, games, or mobile apps.
Advantages of Data structures with Java:
Efficiency:
By structuring the data in a way that requires less storage space and more rapid processing, data structures are utilized to improve the efficiency and performance of an application.
Reusability:
Data structures allow for the reuse of data, meaning that after implementing a specific data structure just once, we can use it repeatedly at different locations. These data structure implementations can be compiled into libraries, which clients can use in a variety of ways.
Abstraction:
To specify a data structure in Java, utilize the Abstract Data Types. The ADT offers an abstraction level. The client application just uses the interface to access the data structure; it is unaware of the implementation’s specifics.
Topic covered by this book:
In Chapter 1 we will discuss the concepts of object-oriented programing. In the next chapter we discuss the concept of Arrays in detail. We will study how arrays work in programming.
Chapter 3 is about Linked Data Structures. We learn about double linked list. We will get to know about the difference between single and double linked list. Next chapter is about java collection framework.
From Chapter 5 to 8 we learn about Stack, List and Queues. We will learn the topic in detail. We will learn the difference between stack and Queue. We learn how they work in programming
Chapter 10 to 13 we study about Tree. we will study binary tree, search tree in detail. We will learn about techniques of the binary and search tree. We will study how they work.
Last two Chapter we will go through about graph and sorting. We will lean about sorting concepts in detail. We will get to know about types of graphs.
Zain