Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
A Circular image view in Android alludes to a picture view component that shows a picture in a circular shape. It is accomplished by applying a circular veil to the ImageView and trimming the picture to fit inside the circular boundary. This makes an outwardly engaging impact and is commonly utilised for showing profile pictures or circular symbols. By utilising the CardView holder, designers can effectively make a Circular image view by setting the image view's corner sweep to half of its width or height, successfully changing it into a circular shape. This approach gives a straightforward and rich arrangement ... Read More
A Circular Determinate progress bar in Android could be a visual component that demonstrates the progress of an errand in a circular mould. Not at all like a vague ProgressBar, which ceaselessly invigorates without appearing particularly advanced, a determinate ProgressBar shows a characterised advance esteem. It regularly consists of a circular shape with an advance marker that fills the circle relative to the task's completion. The Circular Determinate ProgressBar gives clients visual input on the progress of a particular assignment, such as downloading a record or uploading information. By setting the advance value programmatically, engineers can overhaul the ProgressBar to ... Read More
Let's first understand the meaning of neighbour cells in matrices. To determine how each component fits into your two-dimensional matrix structure visualize each enclosed unit as being encompassed by almost eight adjacent elements positioned across/from them both diagonal directions in addition to vertical/horizontal ones. An example observation can be made about lattice size - the smallest circular enclosure in this design has nine components.(from left-to-right & up-to-down)Cell [row=9, col=8] -- within reach from [row=8, col=7], ...[row=10, col=8], and so forth. This intricate connection network links these adjacent components where they share edges or corners; creating a well-defined matrix structure stepping ... Read More
Optimising character frequency for primality is a challenging task in computer science that entails identifying the smallest number of character additions or removals required to make the frequency of each character in each string a prime integer. Cryptography, data reduction, and natural language processing are just a few of the applications for this issue. The frequency of characters in a string can be optimised for primality in this tutorial using a C++ method. We will start by involving further into the problem description and then propose an efficient solution. Method Dynamic programming Approach minOperations function Method Method ... Read More
Continuous character sequences known as substrings of 0s and 1s can be created by selecting zero or more characters from the original string in any order without skipping any of them. Take for instance the string "0101." The sub strings that are followed up this text are: 0, " "1, " "01, " "10, " "010, " "101, " and "0101." The unfilled string is likewise a substring of all strings since it very well might be made by picking precisely 0 characters from the beginning string. As a result, in this instance "" is also a substring of "0101". ... Read More
In this article, we will learn a python program to subtract K from each digit in a list. Assume we have taken an input list containing numbers and K value. We will now subtract k from each digit of a list element and print the resultant list using the below methods. Example Let inputList = [1034, 356, 2145, 6712, 8671] Given input k value = 3 Now we consider 1st element i.e, 1034 Subtract 3 from each digit of 1034 i.e, 1-3 =-2. So, it is ceiled to 0 0-3 = -3. So, it is ceiled to ... Read More
You find a plan, create a budget, execute the plan with the team members, and get to work. This is a basic beginning scenario for a project. A project is divided into sections. And you can determine success at any level. The entire task is broken into smaller tasks, and completing all of these tasks bit by bit leads you to the objective. Several metrics that assist in determining whether or not you and your team are moving in the right direction must be monitored during the entire process. If you achieve your goal while staying within your budget ... Read More
Disease prediction is a crucial application of machine learning that can help improve healthcare by enabling early diagnosis and intervention. Machine learning algorithms can analyse patient data to identify patterns and predict the likelihood of a disease or condition. In this article, we will explore how disease prediction using machine learning works and some examples of its applications. Disease prediction using machine learning Disease prediction using machine learning involves the following steps − Data collection − The first step is to collect patient data, including medical history, symptoms, and diagnostic test results. This data is then compiled into a ... Read More
Pandas is a popular data analysis and manipulation library in Python. It offers powerful tools for reading, processing, and analyzing data, including the ability to store data in a DataFrame, which is a two-dimensional labeled data structure. One of the advantages of using Pandas is the ability to display DataFrame data in a table format, making it easy to visualize and understand the data. In this article, we will explore various ways to display a Pandas DataFrame in a table style. When working with DataFrames, it's often useful to display them in a table format. In this article, we will ... Read More
Pandas is a powerful data analysis library that offers a wide range of functions to work with structured data. One of the most popular ways to represent data is through a heatmap, which allows you to visualize data in a tabular format with colours representing the values. In this article, we will explore how to display a Pandas DataFrame in a heatmap style using the Seaborn library. In data analysis and visualization, a heatmap is a popular tool used to display the relationship between variables in a tabular dataset. Heatmaps represent data as a grid of coloured squares, with each ... Read More