Python Calculator with Basic Operations

🚀 Just built a simple Calculator using Python! Today I practiced basic programming concepts and created a calculator that can perform: ✅ Addition ✅ Subtraction ✅ Multiplication ✅ Division (with zero error handling) This project helped me understand: 🔹 if-elif-else conditions 🔹 User input handling 🔹 Basic error handling in Python Here’s a small snippet of my code 👇 num1 = float(input("Enter your first num: ")) num2 = float(input("Enter your second: ")) print("Select operation:") print("1 Add") print("2 Subtract") print("3 Multiply") print("4 Divide") choice = input("Enter choice (1/2/3/4): ") if choice == '1': print("Result:", num1 + num2) elif choice == '2': print("Result:", num1 - num2) elif choice == '3': print("Result:", num1 * num2) elif choice == '4': if num2 == 0: print("Error: Division by zero") else: print("Result:", num1 / num2) else: print("Invalid Input") Learning & Improving Every Day 🚀 💡 Today I practiced Python by building a simple calculator! Always exploring, always growing. #Python #Programming #Learning #Coding #Beginner #MdMoiz929

🚀 Just built a simple Calculator using Python! Today I practiced basic programming concepts and created a calculator that can perform: ✅ Addition ✅ Subtraction ✅ Multiplication ✅ Division (with zero error handling) This project helped me understand: 🔹 if-elif-else conditions 🔹 User input handling 🔹 Basic error handling in Python Here’s a small snippet of my code 👇 num1 = float(input("Enter your first num: ")) num2 = float(input("Enter your second: ")) print("Select operation:") print("1 Add") print("2 Subtract") print("3 Multiply") print("4 Divide") choice = input("Enter choice (1/2/3/4): ") if choice == '1': print("Result:", num1 + num2) elif choice == '2': print("Result:", num1 - num2) elif choice == '3': print("Result:", num1 * num2) elif choice == '4': if num2 == 0: print("Error: Division by zero") else: print("Result:", num1 / num2) else: print("Invalid Input") Learning & Improving Every Day 🚀 💡 Today I practiced Python by building a simple calculator! Always exploring, always growing. #Python #Programming #Learning #Coding #Beginner #MdMoiz929

Hello connections 👋 Welcome to Day 6 of my Python problem-solving series! Consistency and practice make coding easier every day 🚀 🧠 Day 6 Challenge: Check if a Number is Prime Write a Python program to check whether a given number is prime or not. 👉 Example: Input: 7 → Output: Prime Input: 9 → Output: Not Prime My Approach 1: Basic Method (Factor Count) num = int(input("Enter a number: ")) c= 0 if num <= 1: print("Not Prime") else: for i in range(1, num + 1): if num % i == 0: c += 1 if c == 2: print("Prime") else: print("Not Prime") 📌 Explanation: A prime number has exactly 2 factors: 1 and itself. My Approach 2: Optimized Method (Using √n) num = int(input("Enter a number: ")) if num <= 1: print("Not Prime") else: for i in range(2, int(num**0.5) + 1): if num % i == 0: print("Not Prime") break else: print("Prime") 📌 Explanation: We only check divisibility up to √n, making it faster for large numbers. Now it’s your turn 👇 Try solving it with your own logic or suggest a better approach in the comments. Let’s learn and grow together 🚀 #Python #CodingChallenge #ProblemSolving #Programming #30DaysOfCode

🐍 Why One Version Works… and the Other Doesn’t (Python Classes Explained) Ever faced this situation while learning Python? 👇 One version of your class throws an error ❌ Another version works perfectly ✅ Let’s understand why 👇 🔴 First Case (Error) class Dog: def __init__(self, name, breed): self.name = name self.breed = breed john = Dog(name="Husk") 💥 This gives an error because: The constructor __init__ expects 2 arguments → name and breed But you only provided 1 argument 👉 Python says: “Hey, I’m missing breed!” 🟢 Second Case (Works Fine) class Dog: def __init__(self, name, breed="None"): self.name = name self.breed = breed john = Dog(name="Husk") ✅ This works because: breed now has a default value If you don’t pass it, Python automatically uses "None" 💡 Key Concept: Default Parameters When you assign a default value: The argument becomes optional Your code becomes more flexible 🎯 Simple Rule to Remember No default value → argument is required Default value given → argument is optional 🚀 Small concepts like these build strong programming foundations. Keep experimenting and breaking things—that’s how you really learn! #Python #Coding #Programming #Beginners #LearnToCode #SoftwareDevelopment

🚀 Today I Learned: Operator Overloading in Python While exploring Object-Oriented Programming in Python, I came across an interesting concept — Operator Overloading. 👉 It allows us to define how operators like "+", "-", "*" behave for our own custom objects. 💡 Simple Idea: Instead of using operators only for numbers, we can use them for our own classes too! 🔧 Example: class Number: def __init__(self, value): self.value = value def __add__(self, other): return Number(self.value + other.value) def __str__(self): return f"{self.value}" n1 = Number(10) n2 = Number(20) print(n1 + n2) # Output: 30 🔥 Here, "+" is not just adding numbers — it’s calling "__add__()" behind the scenes! 📌 Key Takeaways: ✔ Operator overloading improves code readability ✔ Uses special methods (dunder methods like "__add__") ✔ Makes objects behave like real-world entities ✔ Important concept in OOP & interviews 💭 Learning how small features like this work internally really changes the way we write code. #Python #OOP #CodingJourney #100DaysOfCode #Programming #Learning

🚀 Day 7 of My Python Learning Journey Today, I explored one of the most powerful and flexible data structures in Python — Lists 🐍 Think of a list like a smart container 📦 that can hold anything — numbers, strings, even mixed data — all in one place! 🔍 What I learned: ✨ Lists are ordered, mutable, and allow duplicates ✨ Represented using square brackets [ ] ✨ Supports indexing for easy access ✨ Can store heterogeneous elements 💡 Ways to take input into a list: Using loops (element by element) Using map() for single-line input (clean and efficient!) ⚙️ Explored Inbuilt Methods: 🔹 append() – Add elements at the end 🔹 clear() – Remove all elements 🔹 copy() – Create a new list (avoiding aliasing!) 🔹 count() – Count occurrences of an element 🔹 extend() – Merge lists 🔹 index() – Find position of an element 🔹 insert() – Add element at specific position 🔹 pop() – Remove elements (and return them!) 🧠 One small realization today: Lists aren’t just collections… they’re like mini toolkits that make data handling smooth and dynamic. 📈 Slowly building consistency, one concept at a time! #Python #CodingJourney #LearningInPublic #100DaysOfCode #PythonBasics #Programming #StudentLife #TechSkills

🚨 Python Tip: A Cleaner Way to Loop Most beginners write loops like this 👇 arr = [10, 20, 30] for i in range(len(arr)): print(i, arr[i]) ❌ Works… but not the best way ✅ Better & Pythonic way: arr = [10, 20, 30] for index, value in enumerate(arr): print(index, value) 🔍 Why this is better: ✔ Cleaner syntax ✔ More readable ✔ Less chance of errors ✔ Direct access to both index and value 🧠 Key Takeaway: Prefer enumerate() over range(len()) for looping through lists. Small improvement, big difference in code quality. ❓ Do you use enumerate() or still prefer range()? #Python #Programming #CodingTips #PythonTips #Developers #LearnPython

Hello connections 👋 Welcome to Day 2 of my Python problem-solving series! 🧠 Day 2 Challenge: Check if a number is Prime A prime number is a number greater than 1 that has only two factors: 1 and itself. 👉 Example: Input: 7 → Output: Prime Input: 9 → Output: Not Prime My Approach 1: Basic (Factor Counting Method) num = int(input("Enter a number: ")) c = 0 if num <= 1: print("Not prime") else: for i in range(1, num + 1): if num % i == 0: c += 1 if c == 2: print("Prime") else: print("Not prime") 📌 Explanation: Here, we count how many numbers divide num. If the count is exactly 2 → it’s a prime number. ⚡ My Approach 2: Optimized num = int(input("Enter a number: ")) if num <= 1: print("Not prime") else: for i in range(2, int(num**0.5) + 1): if num % i == 0: print("Not prime") break else: print("Prime") 📌 Explanation: Instead of checking all numbers, we only check up to √n, which makes the solution much faster for large inputs. Now it’s your turn 👇 Try solving it using your own approach or suggest improvements! Let’s learn and grow together 🚀 #Python #CodingChallenge #ProblemSolving #30DaysOfCode #Programming

🧠 Python Concept: * (Unpacking Operator in Functions & Lists) Write flexible code like a pro 😎 ❌ Traditional Way nums = [1, 2, 3] print(nums[0], nums[1], nums[2]) ❌ Problem 👉 Fixed length 👉 Not flexible ✅ Pythonic Way nums = [1, 2, 3] print(*nums) 👉 Output: 1 2 3 🧒 Simple Explanation Think of * like “unpacking a bag 🎒” ➡️ Takes all items out ➡️ Spreads them ➡️ Uses them individually 💡 Why This Matters ✔ Cleaner code ✔ Works with any length ✔ Very useful in functions ✔ Widely used in real projects ⚡ Bonus Examples 👉 Merge lists: a = [1, 2] b = [3, 4] merged = [*a, *b] print(merged) 👉 Function arguments: def add(x, y, z): return x + y + z nums = [1, 2, 3] print(add(*nums)) 🐍 Don’t handle items one by one 🐍 Unpack them smartly #Python #PythonTips #CleanCode #LearnPython #Programming #DeveloperLife #100DaysOfCode

Today was one of those Python lessons that felt less like learning code and more like learning how to read its warnings properly. 🐍 Day 15 of my #30DaysOfPython journey was all about errors, and honestly, this topic matters because every developer runs into them. When Python code fails, it gives feedback that tells us where the issue is and what kind of problem it is. Learning to understand those messages makes debugging a lot faster. Today I went through the common ones: 1. SyntaxError — when the code is written incorrectly 2. NameError — when a variable has not been defined 3. IndexError — when an index goes out of range 4. ModuleNotFoundError — when a module cannot be found 5. AttributeError — when an attribute does not exist 6. KeyError — when the wrong key is used in a dictionary 7. TypeError — when an operation is applied to the wrong data type 8. ImportError — when something is imported incorrectly 9. ValueError — when the value is valid in type, but not in meaning 10. ZeroDivisionError — when a number is divided by zero What stood out to me today was how errors are not just problems — they are clues. Once you stop panicking and start reading them properly, debugging becomes a lot less intimidating. One more day, one more topic, one more step toward writing code with less guessing and more understanding. Which error has annoyed you the most while coding so far? #Python #LearnPython #CodingJourney #30DaysOfPython #Programming #DeveloperJourney