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Dealing with time is one of the most important aspects of any day−to−day activity. In this article, we will discuss how to get month from year and weekday using Python. We will utilize Python's two most popular libraries, namely calendar, and datetime, to deal with the months, year, s, etc. Both libraries provide several in−built methods to deal with time. We do not need to exclusively care for challenging tasks like leap year if we deal with such libraries. Using The Calendar Library The calendar library in Python provides useful functions and classes working with the calendar and the ... Read More
Anagram Strings are those strings that have the same characters in each of the strings only the order in which they are arranged changes. In other words, a string is an anagram string if it forms a meaningful word after rearranging the characters of the other string. Some examples of anagram strings are “cat and act”, “care and race”. Both of them have the same characters and their frequencies. In this article, we will be discussing the approach to check whether the two strings are anagrams of each other or not using the HashMaps in Java. Problem Statement ... Read More
Plotly is an interactive, open-source toolkit that enables users to build a wide range of aesthetically pleasing and intelligent charts in the field of data visualisation in Python. The line chart, one of the most popular chart forms, is the subject of this article. In order to help you comprehend, we'll go over how to make line charts using Plotly while using practical examples. Even though we'll focus mostly on line charts, keep in mind that Plotly is a flexible library that supports a wide range of additional chart styles, offering countless opportunities to tell engaging tales with data. A ... Read More
Pygal stands out among the different Python data visualisation tools. The SVG (Scalable Vector Graphics) outputs from Pygal strike an excellent balance between elegance and customization. This article is devoted to building line charts in Pygal and includes pertinent examples to aid with comprehension. The development of line charts is the main emphasis of this book, however Pygal has many other features and a wide range of chart styles to meet a variety of data visualisation requirements. Pygal: A Quick Recap An open-source Python package called Pygal is used to produce stunning SVG charts that are both interactive and browser-friendly. ... Read More
Pandas, a Python package, is now the tool of choice for data scientists and analysts all around the world. Row and column selection from dataframes is one of its many functions for data manipulation and analysis. This article examines, using real-world examples, how to use Pandas to pick a set number of rows with a particular column. While we emphasise one particular feature of Pandas, keep in mind that the library's capabilities go much beyond this, making it a crucial tool for data processing. Pandas DataFrame: A Brief Introduction For Python, Pandas offers a fast, user-friendly data structure (DataFrame) and ... Read More
Web testing has undergone a revolution thanks to Selenium WebDriver, a potent technology. This open-source framework is crucial to web application testing since it enables developers to automate browsers. Selenium WebDriver does have some restrictions, though, much as any tool. In order to better comprehend these restrictions, this article explores them and offers specific instances. Please be aware that while this article describes the limitations of Selenium WebDriver, it does not discount the enormous value and flexibility that it provides to developers all over the world. The Selenium WebDriver: A Brief Overview A component of the Selenium Suite called Selenium ... Read More
With over a billion members, Instagram is a hugely successful social networking website. It is a favourite platform for data scientists, marketers, and developers alike because to its strong API and data accessibility. With the aid of 2-3 examples, we will examine how to like Instagram photos programmatically using Python and Selenium in this article. Please be aware that this information is only meant to be instructive. Respecting Instagram's rules and refraining from behaviour that can be construed as spamming are crucial. Getting Started: Installation and Setup You need to set up your environment before you start coding. Python and ... Read More
A GUI (Graphical User Interface) that fluidly alternates between bright and dark themes may be something you're interested in programming. Tkinter is your go-to library for creating such apps if you're using Python. This tutorial will show you how to use Tkinter to make a light or dark theme changer. What is Tkinter? Python's default GUI package is Tkinter. It is a preferred method for developing desktop apps. One of Tkinter's numerous advantages is its simplicity and adaptability, which let you design widgets and interfaces with changeable properties like buttons, labels, text boxes, menus, and more. Importance of Theme Changing ... Read More
Apache Spark is a complex computing system. It provides high-level APIs in programming languages namely Python, Scala, and Java. It is easy to write parallel jobs in Spark. It offers general and quicker processing of data. It is written in Scala and it is faster than others. It is used to process a large number of datasets. It is now the most prominently engaged Apache Project. Its key feature is in-memory complex computing that extends the speed of the data process. It possesses some main features that are Multiple Language Support, Platform-Independent, High Speed, Modern Analytics, and General Purpose. Now, ... Read More
Julia and Java Julia is a dynamic programming language whereas Java is an object-oriented programming language. Julia contains user-friendly syntax and Java is a purpose programming language. Both Julia and Java are programming languages used to create different types of applications. Both offer different types of features to make coding easy. Julia enables work for parallel and distributed computing. Java does not run to improper method addresses. Java allows the collection of garbage. Julia defeats Java in syntax, speed and applications. Therefore, we will cover the main difference between these two extensively used programming languages in this article. What ... Read More