A data structure is a method of storing data in a database so that it can be efficiently used. An algorithm is a compilation of instructions for solving a specific problem. Data structures work based on Abstract Data Types (ADT). It is a class for objects that have a set of values and operations that describe their behavior.
The data structure and Algorithms are primarily used for searching and sorting an element. One can also insert and delete the components from the data using the same. To know the basics of Data Structure and Algorithms, click below
Data structures and algorithms (DSA) delves into the details of standard problem solutions, revealing how effective each one is. It also shows you how to evaluate an algorithm's efficiency. Today, all the top-notch companies like Facebook, Google expect their candidates to know DSA as it helps to solve real-world problems, which is essential in all workplaces.
Let's start learning data structures and Algorithms in Java
An array is a set of elements of the same kind that are stored in the same memory location. An array in Java permits the storage of a fixed set of elements. The object property length in Java can be used to determine the length of an array. Remember that arrays in Java don't function like C++/C.
Learn about Arrays in Java here
In Java, it is simpler to get access to an element due to the Java Index. Arrays can store large data which can be altered with ease. On the other hand, the declared size of an array cannot be altered. Also, there are high chances of memory wastage in arrays. The performance of the array is disturbed by adding or deleting items in the middle of an array.
The next step is to learn about Linked lists which is another data structure in Java. Linked lists, as the name implies, are a linear data structure in which the elements are not stored in sequential order and each element is a separate entity with a data and address component. A node is a name for each element.
Double-ended Linked Lists are another variant of LinkedList. It is similar to single-linked lists, but instead of one head node, it has two, allowing the programmer to insert elements from both ends of the list.
One of the data structures in Java is called a stack. The stack is a data structure that stores a set of items in a linear format. It is based on the principle of Last-In-First-Out (LIFO). Push and pop are the two most significant operations on it. The push operation adds a new feature to the stack, while the pop operation removes one from the top.
Java's Collection Interface consists of a queue which is an ordered list of objects whose use is restricted to inserting elements at the end of the list and removing elements from the beginning. It follows the First - In- First- Out principle.
Learn how to implement stacks and queues in the video below
Algorithms are another important thing to learn while picking up a programming language. One can not skip this!
Sorting Algorithms is one of the most important in the Java programming language. It rearranges the elements of an array or list based on a comparison operator on the elements. In the respective data structure, the comparison operator is used to determine the new order of elements. There are several types of sorting algorithms:
1. Selection Sort
The two subarrays in a given array consist of an already sorted one, meanwhile the other is unsorted. The unsorted array's smallest element is chosen and switched with the sorted element, resulting in that element being a participant of the sorted array.
2. Insertion Sort
In an insertion sort, the array is divided into two sections, one of which is sorted and the other of which is not. Values from the unsorted part are selected and inserted into the sorted part at the appropriate place.
3. Merge Sort
Merge sort utilizes a divide and conquers approach. It splits the input array in half, divides into subparts, and then merges the two sorted halves. The merge() function is used to join two halves together.
4. Quick Sort
It is yet another sorting algorithm that uses the divide and conquers principle. The pivot factor divides the input list into two sub-lists: one with elements less than the pivot and the other with elements greater than the pivot. For each sub-list, the procedure is repeated. Eventually, the final output is generated by combining all of the sorted sub-lists.
Well, this isn't all! Java programming language has a lot more in store. Learn Data Structures and Algorithms in-depth in Hindi and English for FREE at Newton School Launchpad. And guess what? You learn from working professionals and get a certificate at the end of the course.
Vipul Chakravarthy is an enthusiastic full-stack developer. Currently, he is working at Taashee Linux Services.
Learn Data Structures and Algorithms in Java in Hindi with Anurag Sarkar. Anurag is a tech enthusiast and loves solving problems. Presently, he is working as a software engineer with Swiggy!
What are you waiting for? Enroll in their exciting courses now!