Getter and setter are two special methods in Java that allow accessing and modifying data members' values. They are mostly used in encapsulation and data hiding to protect our sensitive data from unauthorized access. In encapsulation, we group related data and behavior together in a class and hide the implementation details from the outside world. Data hiding means preventing direct access of the members of class from the internal state of an object. In this article, we will explain what getter and setter methods are in Java and how they are useful in data hiding. Getter and Setter methods The ... Read More

Producer Consumer is the most common problem of Java concurrency and multi-threading. It arises during the synchronization that helps to manage multiple threads trying to access a shared resource. This article will help us to find Producer Consumer Solution using BlockingQueue in Java Thread. Producer Consumer Problem and BlockingQueue Understanding Producer Consumer Problem Producer and Consumer are two distinct entities or processes that use a shared queue. This queue is of a fixed size buffer. The producer generates pieces of information and stores them in the queue. The consumer consumes the given information and removes them from the queue. The ... Read More

Suppose we have ‘N’ number of dice and we roll all of them at a time, then we need to show all the values that occurred on all dice. We have to emulate the same situation using Java programs. To solve this problem, we will use a class named ‘Random’ that comes under ‘java.util’ package. Java program to Emulate N Dice Roller Random Class We create an object of this class to generate pseudorandom numbers within a given range. We will customize this object and apply our own logic to select any random values from the specified dice. To retrieve ... Read More

Servlets are small Java modules that are used on the server side of a web connection to enhance the functionality of web server. All the methods and classes for creating a servlet are available in ‘javax.servlet’ and ‘javax.servlet.http’ packages. Hence, it is important to import them into your program before working with the servlet They are useful when it comes to creating dynamic web pages and processing user inputs. This article aims to discuss all the necessary steps to create a servlet in detail. Steps to create a Servlet Before moving to the steps let’s discuss briefly about servlets. How ... Read More

In today's data−driven world, for businesses and organizations efficiently analyzing and manipulating large data sets is difficult. MySQL, as a popular open−source relational database management system, and Python, as a versatile programming language, are two latest and trending technologies that when combined, can help achieve this goal. In this article, we will guide you through the process of computing the average of a column of a MySQL table using Python. From establishing a connection to your MySQL database, executing an SQL query to compute the average of a column, and fetching the result, we will provide a step−by−step guide ... Read More

Calculus, the study of continuous change, is a fundamental subject in mathematics that has numerous applications in fields ranging from physics to economics. One of the key concepts in calculus is derivative, which measures the instantaneous rate of change of a function at a given point. If we have a function f(x), the derivative of that function at point x can be calculated as the limit of the difference quotient as h approaches zero: f'(a) = lim(h -> 0) [(f(a+b) - f(a))/h] However, computing derivatives can be a time−consuming and error−prone process when done by hand. Luckily, numerical computing ... Read More

Cross−correlation is a concept widely used in signal processing and image processing to determine the similarity between two signals or images. Python, being one of the most popular programming languages, offers an efficient and user−friendly way to compute cross−correlation between numpy arrays using the NumPy library. The NumPy library offers the numpy.correlate() function to calculate the cross−correlation of one−dimensional numpy arrays. However, for two−dimensional arrays, we need to first flatten them and then use the same function to compute the cross−correlation. In this article, we will provide a detailed discussion on how to compute cross−correlation of two given numpy ... Read More

In today's digital era, images have become a necessary part of our lives. They play an important and significant role in communication and expression across a wide range of platforms, from social media to websites. However, high−quality images can consume a considerable amount of storage space and it'll result in slower website loading times and longer upload times. Image compression becomes applicable in this situation. By reducing the size of an image, you can ensure faster loading times, lower bandwidth usage, and more storage space. In this article, we will look into the process of compressing images using Python and ... Read More

Numpy is a widely used library in Python programming that offers efficient and useful ways for array manipulation. During the development process, it is common to encounter situations where it is necessary to compare two Numpy arrays. This can be for verifying the presence of identical elements or to detect the differences between them. In this article, we will look into various methods for comparing two Numpy arrays, including fundamental comparison operators such as == as well as more advanced functions such as numpy.array_equal() and numpy.setdiff1d(). Our aim is to provide a comprehensive understanding of how to compare Numpy ... Read More

If you work with data analysis or data science, then you already know the importance of comparing DataFrames. Fortunately, the Python library, pandas, offers a handy " compare " method that allows you to compare two DataFrames and highlight their differences. This method is incredibly useful for identifying discrepancies between sets of data and making informed decisions based on those differences. In this article, we will explore how to use pandas compare to compare two DataFrames and dive into some of the customization options available. Whether you're an experienced data analyst or a fresher, this article will provide you ... Read More