As you've heard, python is one of the most well-known programming languages. Two-thirds of the developers who now use the language enjoy it and intend to keep using it, according to a study conducted by Stack Overflow last year. Why, though, is it so well-liked? What does it serve? Python is a versatile programming language that can create virtually any form of software. It may be utilised to create servers, corporate applications, websites, AI, and more. What is Python? What is Python, for what purposes, and what tasks can I carry out with Python? In contrast to HTML, CSS, and ... Read More

The visual presentation of data is known as data visualization. Because of the excellent ecosystem of Python packages focused on data, it is crucial for data analysis. Summarising and presenting a large quantity of data in a straightforward and understandable style also helps to grasp the data, no matter how complicated it may be, as well as the value of the data. It also aids in the effective and clear transmission of information. We may visualize pairwise connections between variables in a dataset using the Seaborn Pairplot. Condensing a lot of data into a single figure gives the data a ... Read More

In this article we are going to learn about difference between violinplot() and boxplot() using Python. What is a violin plot? A violin plot is a type of statistical chart similar to a box plot but with a rotated kernel density plot on each side. The name "violin plot" comes from the fact that the chart's shape looks similar to a violin's shape. A violin plot is used to visualise a dataset's distribution and shows the data's probability density at different values. The violin plot displays the data distribution of the sample, with the thickest part showing where the values ... Read More

Density Plot A density plot, also known as a kernel density estimate (KDE) plot, is a graphical display of data that shows the probability density function (PDF) of the data. It is used to visualize the distribution of the data and identify patterns and trends in the data. The purpose of a density plot is to give you a visual representation of the underlying distribution of the data. It can help you understand the shape and spread of the data and identify any unusual values or outliers. It can also be used to compare the distribution of multiple variables or ... Read More

What is Swarmplot() and Stripplot? In python seaborn, the swarmplot() positions the points using a technique called "beeswarm" that adjusts the points to avoid overlap. This results in a plot where the points are spread out and are easier to distinguish, but the relative positions of the points within a category are not preserved. Whereas, stripplot() positions the points on a categorical axis, with one category per tick. The points are not adjusted to avoid overlap, so they may overlap if many points are in the same category. Feature stripplot() swarmplot() Purpose Display the distribution of ... Read More

A matplotlib-based Python data visualisation package is called Seaborn. It offers a sophisticated drawing tool for creating eye-catching and educational statistics visuals. Seaborn assists in resolving Matplotlib's two main issues, which are? We now believe that teaching students how to generate these representations using ggplot2's methods—which take more coding but are more advanced, adaptable, and transparent—will benefit students. Here, the basic plots made by residPlot() are rebuilt using ggplot2 as a resource to assist users in switching from residPlot() to ggplot2. Feature regplot() lmplot() residplot() Purpose Plot a simple linear regression model between two variables ... Read More

A matplotlib-based Python visualization package is called Seaborn. It offers an advanced drawing interface for beautiful statistics visuals. It is based on Matplotlib and supports the pandas and numpy data structures and the statistical functions from scipy and statsmodels. A connection involving categorical data may be shown in seaborn in various ways. There are two ways to create these charts, which is similar to the relationship between relplot() and either scatterplot() or lineplot(). There are various axes-level methods for charting categorical data in various ways, and the figure-level interface catplot() provides uniform higher-level access to them. What is categorical data? ... Read More

In Swift, the viewDidAppear method does not call when an application is opened from the background. In that case, you have to use the applicationWillEnterForeground method in the AppDelegate. In this article, you will see an example of how to perform an action when opening an app from the background. Approach If you open an app from the background, it should call the applicationWillEnterForeground method of the app delegate before presenting the view. However, it's possible that the viewDidAppear method of the view controller is not called if the view controller's view is already on the screen or if the ... Read More

In Swift, an optional escaping closure parameter is a closure that can be executed after the function it is passed to has returned. In this article, we will see how to create escaping closures as parameters with examples. To declare an optional escaping closure parameter, you add the @escaping keyword before the closure type to the function's parameter list. Syntax Here is the syntax. func doSomething(completion: @escaping () -> Void) { // Write code here } In the above code, completion is an optional escaping closure parameter that takes no parameters and returns Void. The @escaping ... Read More

In Swift, there are many approaches to converting an integer to time components like hours, minutes, and seconds. Every approach depends on the requirement. For example, you can use arithmetic operators to convert. Another approach is using DateComponentsFormatter class to convert an integer into time components easily. In this article, you will see many examples of converting an integer to time components. Example 1 To convert an integer representing a duration in seconds to hours, minutes, and seconds, you can use the following code in Swift − import Foundation let durationInSeconds = 3661 let hours = durationInSeconds / 3600 let ... Read More