How to Find Armstrong Numbers between two given Integers29 Aug 2024 | 3 min read An integer is referred to as the Armstrong numbers of the order n. When it's each digit is separated, cubed, and added together then it will result in a sum that is the same as the number, (i.e., pqrs... = pn + qn + rn + sn +...). If there is an Armstrong number with three digits, the total of cubes in each number is equal to the number in itself. Example: In this tutorial, we will learn how we can find Armstrong numbers between two given integers by using Python language. For example: The method we use below is easy. We look through all numbers within the range. For each number, we first determine the number of digits within it. Make the total number of decimal digits of the current number be the number "n". Then we calculate the sum of the" n-th" power of each digit. If the sum is greater than "K", then we record the result. Code: Output: Please enter the lower range of the integer: 1000 Please enter the upper range of the integer: 10000 The Armstrong Numbers Between Two Given Integers: 1634 8208 9474 ConclusionIn this tutorial, we have discussed how to print Armstrong numbers between two given integers using Python programming. |
A substantial number of sophisticated mathematical functions are available in the Python Numpy package. With the help of these functions, big, multi-dimensional arrays and matrices may be handled in Python, and different logical and statistical operations can be carried out on them. Python's numpy library enables...
4 min read
Python offers basic for loops for printing patterns. The first outer loop manages the number of rows, while the inner nested loop manages the number of columns. By modifying the print statements, new number patterns, word patterns, and star patterns could be printed. This article illustrates a...
4 min read
In this tutorial, we will write a Python program to find the maximum number of 1s in the given 2D matrix. In the given matrix, each row is sorted we need to get the row that consists of a maximum number of 1s. Let's see the...
7 min read
We will look at the process of import Kaggle Datasets into Google Colab in this article. Getting Going: In this section, we will go through two distinct ways to start using Colab. In the first way, we will download our dataset via the Kaggle API, and then we...
3 min read
Data scientists and programmers must comprehend how to create the finest models feasible as machine learning techniques continue to increase in popularity and adoption. The support vector machine (SVM) classifier, a kind of linear classifier that performs effectively for a wide variety of data sources, is...
4 min read
AR(Augmented Reality) is a system that combines the real and virtual worlds. Have you ever played "Pokemon Go"? If you are not aware of the game, the player has to turn on the camera and roam around places to find a 3D pokemon placed somewhere randomly...
3 min read
In this article, we will discuss how to use Brython in the browsers by implementing a Base64 calculator for experimenting in the browser with the Document Object Model Application Program Interface and other functionalities which are only available from JavaScript. The DOM Application Program Interface in Brython For...
8 min read
Introduction Python provides several operators to perform various operations on variables. These operators can be categorized into two types: in-place operators and standard operators. Both operators do the same tasks but they differ in their behaviour and impact on underlying data. In this article, we will explore how they...
4 min read
Artificial neural networks (ANNs) are the most cutting-edge machine learning models in data science. Their performance is enigmatically astounding, and even with only one hidden layer, they can approximate any function with any desired level of precision. Why would anyone ever choose any other model given their...
9 min read
In this tutorial, we will discuss the concept of sensitivity analysis. We will explore various methods for conducting sensitivity analysis and optimizing process quality in Python. Let us first briefly understand the concept of sensitivity analysis. Sensitivity analysis is a powerful technique used to understand how...
4 min read
We request you to subscribe our newsletter for upcoming updates.
We provides tutorials and interview questions of all technology like java tutorial, android, java frameworks
G-13, 2nd Floor, Sec-3, Noida, UP, 201301, India