Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Introduction We begin by examining the playsound library, which provides a simple and straightforward solution for playing sound files in Python. With its minimal setup requirements, developers can quickly integrate audio playback into their applications using a single function call. However, for more advanced audio features, we delve into two popular libraries: pygame and pyglet. Pygame is a robust multimedia library renowned for its capabilities in handling audio, graphics, and user input. Let's go on this audio adventure to explore sound possibilities in Python applications. Different Methods The 'playsound' Library A quick and efficient way to ... Read More
Python-Plotly, a widely-used data visualization library, offers various features to enhance visualizations, one such feature is hover text and formatting, which allows users to provide additional information and customize the appearance of tooltips when hovering over data points. Data visualization is a powerful tool for understanding and presenting complex information. In this article, we will explore how to utilize hover text and formatting in Python-Plotly to improve data visualization and convey insights effectively. How to hover Text and Formatting in Python-Plotly? Below are examples of how to hover Text and Formatting in Python-Plotly with different hovermodes. Default hovermode Follow the ... Read More
Introduction Python's universe of higher−order functions You've come to the correct spot if you're trying to improve your Python programming abilities and produce more expressive and effective code. Functions in Python are more than just specialized chunks of code. They are also strong things that can be moved, transferred, and even dynamically produced. By working on other functions, higher−order functions increase this versatility. The principle of higher−order functions will be extensively discussed in the current piece. We will explore the fundamentals of processes as first−class objects, dig into real−world examples of higher−order functions, and encourage the capabilities of ... Read More
Introduction Security is crucial in the current digital era. In our work as developers, we frequently handle confidential data like passwords. It is essential to use the right methods for password encryption and concealment in order to secure this sensitive data. Many accessible techniques and modules in Python can assist us in achieving this objective. With an explanation of the fundamental ideas and examples of useable implementations, this article investigates the best techniques and methods for concealing and encrypting passwords in Python. The Importance of Password Security In order to protect user accounts and sensitive information, passwords act ... Read More
With the introduction of the power of machine learning in predicting house prices using Python has revolutionized the real estate industry. In this article, we explore the dynamic world of house price prediction using cutting-edge machine-learning techniques. By harnessing the vast potential of data analysis, feature engineering, and model training in Python, we aim to provide a comprehensive guide that equips readers with the tools to make informed decisions in the ever-changing housing market. Linear regression for house price prediction Linear regression is a mainly used technique for the prediction of house prices due to its simplicity and interpretability. It ... Read More
One of the most crucial aspects of data analysis is proficiently visualizing data to pinpoint trends and patterns rapidly and a highly effective tool to visualize categorical and continuous variables is by using a horizontal strip plot with jitter . Our article will demonstrate how to create horizontal stripplot with Jitter utilizing Altair—a popular Python library renowned for its declarative statistical visualization features. What are Stripplot and Jitter? A stripplot displays individual data points in a horizontal arrangement, allowing us to observe their distribution across different categories. However, when multiple data points share the same horizontal position, they can ... Read More
Boxplots are one of the most popular tools available for data visualization of the datasets which is mainly created using a python library called Seaborn, which provides a simple and powerful way to create both horizonatal and vertical boxplots and other types of visualizations. In this article, we will be focusing on how to create a horizontal boxplot with points using Seaborn in Python. What is a boxplot? First of all, let’s define what a boxplot is. A boxplot is a graphical representation of the dataset that convey the distribution of the data in the dataset using outliers, quartiles, and ... Read More
While working with clustering algorithms in Python, it is important to be able to evaluate the performance of the models, and one of the popular metrics for evaluating the performance of the clustering model is the homogeneity score using sklearn. It measures how well the labels assigned by a clustering algorithm match the true labels of a dataset. The higher the homogeneity score, the better the clustering algorithm performed. In this article, we'll take a closer look at the homogeneity score and how to compute it using Scikit-learn in Python. What is the Homogeneity score? The homogeneity score is the ... Read More
Holistically-Nested Edge Detection (HED) is a deep learning-based method for detecting edges in images which can be performed using deep learning and a Python library, OpenCV. The holistically-Nested Edge detection was first introduced by Xie and Tu in 2015 and has since been widely used in computer-vision applications.Currently, it has gained a lot of popularity in recent years due to its ability to produce accurate and high-quality edge maps in an image. In this article, we will discuss the basics of HED, how it works, and how to implement it using OpenCV and deep learning, and also using Canny ... Read More
Histograms are the graphical representations of the dataset distribution and can be created using Plotly , a Python library with a class known as graph_objects, using which we can create the histogram. Histograms are useful for understanding the shape of the dataset which also includes outliers, central tendency, and spread. Plotly is a Python library that allows us to create interactive visualizations in various formats, including scatter plots, line charts, and histograms. The class graph_objects provides a high-level interface for creating some complex charts and allows us to customize every aspect of the plot. In this article, we will be ... Read More