The operating system runs with hundreds of tasks/process at a single time. As a Python developer, this is important because often while dealing with programs that consume huge amounts of memory, we may want to delete some unimportant tasks. This article will explore how to get the running process list using Python. Using psutil Module The psutil module is a powerful cross−platform library for system monitoring and process management in Python. It provides a convenient and consistent API to access system−related information, such as CPU usage, memory utilization, disk usage, network statistics, etc. Being cross−platform, the same code applies to ... Read More

Selenium is an effective tool for remotely manipulating a web browser. It works well for testing purposes when automating web applications. Finding items on a webpage is a crucial Selenium feature. In this lesson, we'll concentrate on utilising Python to find numerous Selenium items. Introduction to Selenium A well-known open-source web automation tool is Selenium. It gives programmers a means to create scripts in a variety of languages, including Python, Java, C#, etc. With Selenium, you can automate any browser-related actions, including clicking, typing, selecting, and navigating. Setting Up Selenium It's essential to make sure Selenium is properly configured and ... Read More

Predicting loan eligibility is a crucial part of the banking and finance sector. It is used by financial institutions, especially banks, to determine whether to approve a loan application. A number of variables are taken into consideration, including the applicant's income, credit history, loan amount, education, and employment situation. In this post, we will demonstrate how to predict loan eligibility using Python and its machine learning modules. We'll introduce some machine learning models, going over their fundamental ideas and demonstrating how they can be used to generate predictions. Step 1: Understand the Problem Predicting whether a loan will be accepted ... Read More

Welcome to this thorough article on using PyQt5 in Python to build a Loan Calculator. The PyQt5 library's robust features can be used to provide a straightforward and approachable user interface for our calculator. This post will provide a thorough explanation of how to build such a calculator, along with real-world examples to help make the process more understandable. Introduction to PyQt5 Cross-platform apps can be made using PyQt5, a set of Python bindings for Qt libraries. It combines the greatest features of Python and Qt and gives developers the freedom to create code in Python while utilising the extensive ... Read More

String Manipulation is an important task in Python. This may involve slicing the string, taking N characters, etc. These are essential tasks in Text preprocessing, like in NLP tasks, Password and data security, string comprehension and encoding, etc. Fortunately, Python offers a variety of ways to perform string manipulation. In this article, we will learn how to obtain the last N characters in a String in Python. Using for Loop The loop is a very common expression for most programming languages. This allows us to iterate over iterable objects, generate a series of values, and more. Since the String ... Read More

Tuples are immutable data types in Python that can hold heterogeneous data types. List, on the other hand, are multiple data types that can hold heterogeneous data. In this article, we will explore various methods to retrieve the first element from a list of tuples using function−based components. We will explore several methods like loops, list comprehension, zip method, etc. Using Loop Method Loops are common statements in almost any Programming language. We can use the loop statement along with the indexing property of the iterable objects of Python to access the first elements of the iterable objects. ... Read More

Python, an incredibly flexible programming language, has a variety of libraries that can handle diverse tasks. Tkinter emerges as Python's default package when it comes to creating a graphical user interface (GUI). Similar to this, the Python Imaging Library (PIL) is frequently used for image processing. In order to properly explain how to load images in Tkinter using PIL, this guide combines the two and includes real-world examples. Introduction to Tkinter and PIL Let's quickly explain Tkinter and PIL before moving on to the main subject. The default GUI toolkit for Python is called Tkinter. It is easy to use ... Read More

Python is known for its strong libraries that can handle nearly any task, and image processing is no different. For this purpose, a popular choice is Mahotas, a computer vision and image processing library. This article explores how to load images using Python's Mahotas, providing you with practical examples. Introduction to Mahotas Mahotas is a sophisticated library that contains numerous methods for image processing and computer vision. With a strong focus on speed and productivity, Mahotas enables you use over 100 features, including color space conversions, filtering, morphology, feature extraction, and more. This guide focuses on one of the most ... Read More

With the rising significance of data analysis in various domains, Python has become the go-to language due to its vast array of libraries designed to deal with data. One such library is Pandas, a powerful tool that provides flexible data structures for data manipulation and analysis. This article provides an in-depth guide to loading an Excel spreadsheet as a Pandas DataFrame, complete with examples. Introduction to Pandas Pandas is a Python package that stands out for its ability to work efficiently with data. It provides two classes – the DataFrame and the Series – which are incredibly flexible and can ... Read More

Every machine learning project depends on data, and PyTorch, the well-known open-source machine learning toolkit created by Facebook, is no exception. This manual seeks to streamline the data loading procedure into PyTorch and get you up and running as soon as possible. The DataLoader, Dataset, and Transform classes of PyTorch will be the main topics of this article. To help you understand these core PyTorch ideas and streamline your machine learning applications, we'll go over some real-world examples. PyTorch Data Loading: A Brief Overview For importing and preparing data, PyTorch offers a powerful and adaptable toolbox. The three key elements ... Read More