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Armstrong Number Program in Python If you are diving into the world of programming, you’ve likely encountered "special numbers." Among the most famous is the Armstrong number . Whether you are preparing for a technical interview or practicing your logic in Python , understanding how to identify these numbers is a rite of passage. In this guide, we will break down the Armstrong number program in python using various methodsfrom while loops to for loopsand even a quick nod to how it compares to C . What Exactly is an Armstrong Number? An Armstrong number (also known as a narcissistic number ) of order n is a number that is equal to the sum of its own digits each raised to the power of n . Armstrong number in Python 153 example : For the number 153 , the number of digits is 3. Calculation: $1^3 + 5^3 + 3^3 = 1 + 125 + 27 = 153$. Since the sum equals the original number, 153 is an Armstrong number . ...

Conditional Statements in Python Have you ever had to make a choice? For example, if it is raining, you take an umbrella. If it is sunny, you wear sunglasses. In programming, we do the same thing. We tell the computer to make decisions based on certain conditions. What is conditional statement in python? A conditional statements in Python simple definition is a set of rules that tells the computer to run specific code only when a certain condition is true. It is like a fork in the road. Depending on the answer to a question, the program chooses which path to take. When people ask what are conditional statements in python , they are usually talking about the way we control the flow of a program. These statements help your code become "smart" instead of just running line by line from top to bottom. Types of conditional statements in python There are four main types of blocks you will use to make decisions in your code. These are common topics whether you are studyi...

Discover Fruitful Functions in Python Python is a versatile programming language with many tools and techniques . One key feature is fruitful functions , which make your code more efficient and functional. We'll explore fruitful functions, their importance, structure, and how they're used in Python. Fruitful functions, or return functions , are essential in Python. They differ from void functions by returning values that can be used in your code. These functions can return one value, many values, or complex data structures. This makes them very useful for solving various programming problems. Learning about fruitful functions can help you write better code. It's useful for both new and experienced Python developers. Knowing how to use fruitful functions will improve your skills and help you solve complex problems easily. Understanding the Basics of Fruitful Functions in Python Fruitful functions in Python are key for any programmer to know. They differ from void functions...

Choosing your first programming language or deciding which one to pick for a new high-stakes project can feel like standing at a massive crossroads with two giant, neon signs pointing in different directions. On one side, you have Java , the battle-hardened veteran of the enterprise world. On the other, there is Python , the versatile, high-level language that has become the darling of the data science and AI revolutions. In 2026, this decision is more nuanced than ever, as both languages have evolved to borrow the best ideas from one another. The difference between java and python isn't just about semi-colons or indentation; it’s a fundamental difference in philosophy, execution, and how you, as a developer, interact with the machine. In the professional world, we don’t look at these languages as "better" or "worse." We look at them as tools in a toolbox. You wouldn't use a sledgehammer to hang a picture frame, nor would you use a jeweler’s scre...

Machine learning is at the forefront of the global transformation brought about by artificial intelligence (AI). It enables data-driven machine learning. This creates new opportunities in the fields of healthcare, finance, and transportation. AI and machine learning appear to have a promising future. Smart transportation, personalized medicine, and predictive maintenance could all benefit from it. It will probably improve living conditions and the economy as it expands. The enormous potential of machine learning will be explored in this article. We'll examine its present applications and future prospects. It will provide you with an overview of machine learning's potential and the ways in which it is transforming various industries. the Scope of Machine Learning Machine learning is a broad field that affects numerous industries. Algorithms for machine learning aid in the analysis of complicated data, outcome prediction, and wise decision-making. Machine learning impr...

Data Hiding in Python Ever tried explaining a secret to a friend and then watching them spill the beans anyway? That’s kinda what happens in coding too. You’ve got some sensitive stuff you don’t want anyone messing with, but Python (being Python) doesn’t exactly lock it down like a safe. Instead, it’s more like scribbling “Do Not Touch” on your lunch in the office fridge. People can still open it, but if they do, they’re the jerk, not you. And that, my friend, is basically data hiding in Python. So, why do we even bother? Well, think about your WhatsApp chats. Do you really want everyone scrolling through your “Good Morning” messages and those embarrassing memes you sent at 2 AM? Probably not. Similarly, in programming, you don’t want every little detail of your code exposed for the world (or your teammates) to mess around with. Data hiding helps you keep things neat, organized, and keeps nosy programmers away from poking into stuff they shouldn’t. By the way, Python doesn’t have t...

INTRODUCTION The world of data manipulation and analysis often requires dealing with complex structures and multidimensional datasets. In Python 3, the concept of nxnxn matrices provides a powerful framework for representing and working with three-dimensional data. An nxnxn matrix, also known as a three-dimensional matrix, is a mathematical construct that extends the familiar notion of matrices into a cubic shape, where all three dimensions have the same size. By leveraging the capabilities of Python 3, along with libraries such as NumPy, we can efficiently create, manipulate, and analyze these multidimensional arrays. In this article, we will explore the fundamentals of nxnxn matrices in Python 3 and discover their practical applications in various domains, including computer graphics, scientific simulations, and data analysis. WHAT IS NXNXN MATRIX PYTHON 3  An nxnxn matrix refers to a three-dimensional matrix in Python, where 'n' represents the size of each dimension. It can ...