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CherryPy, a versatile Python web framework, offers a convenient and efficient way to perform addition and subtraction operations. In this article, we delve into the process of utilizing CherryPy to carry out basic arithmetic calculations within a web application. By leveraging CherryPy's lightweight and intuitive features, developers can effortlessly implement addition and subtraction functionalities, making mathematical operations seamless and easily accessible to users. How to perform addition and subtraction using CherryPy? Below are the steps that we will follow to perform addition and subtraction using CherryPy − We import the CherryPy module, which allows us to create a web ... Read More
The Pause method is an essential technique utilized in Selenium Python for implementing Action Chains. Action Chains allow users to perform complex interactions on web pages, such as hovering over elements, clicking and dragging, and more. By incorporating the Pause method, programmers can introduce specific time delays between actions, ensuring accurate execution and synchronization. This article explores the significance of the Pause method and how it enhances the functionality and reliability of Action Chains in Selenium Python. What are Action chains? Action Chains, in Selenium Python, allow users to perform a series of actions sequentially, mimicking real user interactions. ... Read More
Parkinson's Disease is a neurodegenerative disorder that affects millions worldwide, early and accurate diagnosis is crucial for effective treatment which can easily be done using machine learning in Python. This article explores the application of machine learning techniques in predicting Parkinson's Disease using a dataset from the UCI machine learning repository. By employing the Random Forest Classifier algorithm, we demonstrate how Python can be leveraged to analyze and preprocess data, train a predictive model, and make accurate predictions. Parkinson Disease Prediction using Machine Learning in Python We have used Jupyter notebook to run the code in this article. Below ... Read More
Selenium is a robust tool that enables the automation of web browsers, and Python is widely employed for test automation, a significant aspect of Selenium is its capability to find elements on web pages through diverse approaches which can easily be done using the parent element method that emerges as a valuable technique. By recognizing and manipulating the parent element associated with a particular target element, testers can effectively engage with specific sections of a webpage. This article delves into the parent element method in Selenium Python, shedding light on its benefits and practical implementation strategies. What is a ... Read More
There will be times when we need to remove files programmatically in Python. Removing files, in this context, is the act of deleting or erasing files from a computer's file system using Python programming language. You must know that when you remove a file, it is permanently deleted from the storage location; this frees up disk space and makes the file inaccessible. Python has a number of modules and functions, such as os.remove() or os.unlink(), that permit you to interact with the operating system and remove files using code. This functionality is particularly useful when we want to automate tasks, ... Read More
In PySpark, working with large datasets often requires extracting a random row from a DataFrame for various purposes such as sampling or testing. However, the process of selecting a random row can be challenging due to the distributed nature of Spark. In this article, we explore efficient techniques to tackle this task, discussing different approaches and providing code examples to help you effortlessly extract a random row from a PySpark DataFrame. How to take a random row from a PySpark DataFrame? Below are the Approaches or the methods using which we can take a random row from a PySpark ... Read More
When working with Plotly Express, a powerful Python library, it becomes essential to understand how to effectively incorporate a legend into single-trace scatterplots. This article serves as a comprehensive guide, explaining step-by-step how to create visually appealing scatterplots using Plotly Express. From loading data and data cleaning to data analysis and visualization, readers will learn how to showcase categorical groups with ease, enabling clear interpretation and understanding of the plotted data points. How to show legend in a single-trace scatterplot with Plotly express? To show a legend in a single-trace scatterplot using Plotly Express, we need to set the showlegend ... Read More
Having the correct setup tools and packages installed is crucial for Python development on Linux. Setuptools is one such tool that plays a vital role in effortlessly building, distributing, and installing Python packages. This article will provide you with a detailed walkthrough of the installation process for Setuptools on Linux, ensuring that you possess all the necessary components to commence your Python application development smoothly. Prerequisites Before we proceed with the installation procedure for Python on Linux, it is important to ensure that you have fulfilled a few prerequisites. These conditions are essential for a seamless installation and utilization ... Read More
Introduction Random forest and gradient boosting are two of the most popular and powerful machine learning algorithms for classification and regression tasks. Both algorithms belong to the family of ensemble learning methods and are used to improve model accuracy by combining the strengths of multiple weak learners. Despite their similarities, random forest and gradient boosting differ in their approach to model building, performance, and interpretability. When you're finished reading, you'll understand when to use each algorithm and how to select the one that's ideal for your unique problem. What is Random Forest? Random Forest, a ... Read More
Legends play a crucial role in conveying information about plotted elements which are mainly contained in the matplotlib which is a popular Python library used for data visualization but sometimes when dealing with complex visualizations, the default vertical spacing between legend entries may not be ideal. This article explores techniques to modify and customize the vertical spacing between legend entries in Matplotlib, allowing users to enhance the readability and aesthetic appeal of their plots. What is a legend in a Matpltlib graph? In a Matplotlib graph, a legend is a key or a guide that provides an explanation for the ... Read More