Python is a high-level, object-oriented programming language created by Guido van Rossum and first released in 1991. Designed for readability and ease of use, Python is particularly accessible to humans, emphasizing clear syntax and data structuring.
Initially, Python was mainly recognized for its utility in automating mundane tasks. However, its versatility soon became apparent, distinguishing it from languages tailored to specific tasks like HTML/CSS, Ruby, or PHP. This realization marked a significant shift, positioning Python as a general-purpose language capable of addressing a wide range of programming needs.
This broader applicability has had a transformative impact on the programming landscape, elevating Python beyond its original perceived limitations. Today, Python is extensively used across various fields including web development, mobile application development, data science, and machine learning, showcasing its adaptability and broad scope of application.
Added to the versatility of Python, its simple syntax makes it the perfect fit for any newbie programmer.
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Overview
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What is Armstrong Number in Python?
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Algorithm to Find a 3-digit Armstrong Number in Python
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Python Program to Find a 3-digit Armstrong Number
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Algorithm to Find an n-digit Armstrong Number in Python
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Python Program to Find an n-digit Armstrong Number
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See Also
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Conclusion
- Overview
A number of n-digits can be defined as an Armstrong number if and only if the sum of its digits powered to n is equal to the number itself. For example, 1634 is an Armstrong number as
1634=14+64+34+44
What is Armstrong Number in Python?
The Armstrong number in Python is the number in which the sum of each digit powered to the total number of digits is the same as the given number. i.e. for a given number say 153,13+53+33 is equal to 153.
Let’s take another example; say 1634=14+64+34+44 is an Armstrong number. Any number in any number system that exhibits this sum property will be called an Armstrong number.
Armstrong numbers are also called Narcissistic numbers. They don’t have real-life applications.
- Conclusion
- We learned about what Armstrong numbers are.
- We also saw how to identify if a number is an Armstrong number in Python or not.
- We also learned various algorithms and their implementation to check whether the given number is an Armstrong number.
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