Python Calculator Program with Functions and Conditional Statements

📘 Python Learning – Day 8 Highlights 🐍 Today’s class was about writing smarter and more flexible functions 👇 🔹 Variable Scope & LEGB Rule: Learned how Python searches variables → Local → Enclosing → Global → Built-in 🔹 Local vs Global Variables: Understanding where variables can be accessed and used 🔹 Advanced Arguments: ✔ *args → handles multiple positional arguments (as tuple) ✔ **kwargs → handles keyword arguments (as dictionary) 🔹 Flexible Functions: Created functions that can take unlimited inputs and return dynamic results 💡 Example: def add(*args): return sum(args) Step by step, moving towards writing more professional Python code 🚀 #Python #Programming #Coding #LearningJourney #Beginner #TechSkills

🚀 Day 4 of Python Journey – Conditional Statements After a short break, started again my python journey. Today, I focused on Conditional Statements in Python. Instead of just understanding theory, I worked on multiple implementations and practiced different variations to strengthen my logic building. 📂 What I covered: ✔ if statements ✔ if-else statements ✔ if-elif-else ladder ✔ Solved multiple questions based on conditions ✔ Built small logic-based programs One of the highlights was creating a temperature-based decision system using an if-elif ladder — simple concept, but great for understanding how decision-making works in real programs. 💡 Key Learning: It’s not about solving one question. It’s about solving many variations of the same concept until the logic becomes natural. 📈 Approach I’m following: Learn → Practice → Repeat → Improve This is just Day 4, but the focus is clear — building strong fundamentals that will help in problem-solving and real-world development. #Python #CodingJourney #100DaysOfCode #Programming #Learning #Consistency #ProblemSolving

🎥 Python Input Statement Explained | Beginner Friendly Want to make your Python programs interactive? 🤔 In this video, I explain the input() function in a simple way with examples! 💡 What you’ll learn: ✔️ What is input() ✔️ How to take user input ✔️ Type conversion (int, float) ✔️ Real-time examples 👩💻 Example: name = input("Enter your name: ") print("Hello", name) 👉 Perfect for beginners starting Python and Data Science journey! https://lnkd.in/edx-D3JM 👍 Like | 🔁 Share | 🔔 Subscribe for more simple coding videos #Python #Coding #LearnPython #Beginners #Programming #DataScience

📘 Python Learning – Day 7 Highlights 🐍 Today’s class was all about improving coding efficiency and writing cleaner Python code 👇 🔹 Loops Revision: Practiced for & while loops with real examples 🔹 Loop Control: Used break, continue, and enumerate() for better control 🔹 List Comprehension: Learned a shorter, more Pythonic way to create lists in one line 🔹 Functions Basics: ✔ Reusable code using def ✔ Passing arguments & returning values 🔹 Utility Functions: Small, reusable functions for common tasks (like even/odd check, calculator, etc.) 💡 Example: [x**2 for x in range(1,6)] → creates squares in one line Writing cleaner, smarter, and more efficient code step by step 🚀 #Python #Programming #Coding #LearningJourney #Beginner #TechSkills

🚀 Day 18–24 of My Python Learning Journey Over the past few days, I’ve been diving deeper into Python and strengthening my core concepts 💻 Here’s what I explored 👇 🔹 Functions & Arguments 🔹 Types of Variables (Local, Global, Nonlocal) 🔹 Lambda Functions 🔹 Map & Reduce 🔹 Floor Function 🔹 Nested Functions 🔹 Function Aliasing 🔹 Generating Random Numbers 🔹 Method Overloading in Python ✨ This phase helped me understand how Python handles functions in a powerful and flexible way. 📌 One key takeaway: Functions are not just reusable blocks — they can be treated like objects, passed around, and optimized using tools like lambda, map & reduce. I’m building consistency and focusing on strong fundamentals every day 💪 #Python #LearningJourney #100DaysOfCode #Programming #Coding #PythonBasics #DeveloperJourney

At this point, Python is starting to feel less like a language… and more like a toolkit. Today’s Python MahaRevision 🧠 Chapter 13: Advanced Python (Part 2) This chapter introduced some really powerful and practical concepts: → Virtual environments → pip freeze (managing dependencies) → Lambda functions → bin() method → format() function → map, filter, reduce It’s interesting how these tools make code shorter, cleaner, and more efficient—once you understand how to use them properly. Practice set done: Worked on applying lambda functions, transforming data using map/filter, experimenting with reduce, and managing environments and dependencies. Some concepts felt a bit abstract at first (especially map/filter/reduce)… but with practice, they started making more sense. Biggest takeaway: Better tools don’t just make coding easier—they change how you think about solving problems. Still exploring, still improving. #Python #LearningInPublic #CodingJourney #Programming #AdvancedPython

🚀 Just Published My First Medium Article! I’m excited to share my first blog on Medium: 👉 Python Basics – Part 1 As a beginner, I started exploring Python and realized something important — strong fundamentals make everything easier later. In this article, I’ve covered: ✔️ Variables and data types ✔️ Basic syntax and operations I also tried to keep it simple and beginner-friendly, so anyone starting their coding journey can understand it easily. 💡 Learning is not about knowing everything at once — it’s about starting small and staying consistent. This is just the beginning of my journey into tech and self-improvement. 🔗 Read my full article here: https://lnkd.in/dfFnCFm2 I’d love to hear your feedback and suggestions! #Python #LearningJourney #Beginners #Coding #SelfImprovement #WomenInTech

🚀 Python Practice – Function Examples Taking my Python learning a step further by practicing real-world function-based problems 🐍 In this session, I worked on: ✔️ Temperature Conversion (Celsius ↔ Fahrenheit) ✔️ Password Strength Checker ✔️ Shopping Cart Total Cost Calculator ✔️ Palindrome Checker ✔️ Factorial using Recursion These examples helped me understand how functions can be used to solve practical problems and write reusable, structured code. A big thanks to Krish Naik Sir for his amazing teaching and clear explanations 🙌 Documented all my practice in a Jupyter Notebook and shared it as a PDF to track my progress. Learning by building real logic step by step 📊 #Python #Functions #Practice #LearningJourney #DataAnalytics #Coding

𝗪𝗵𝘆 𝗜 𝗟𝗼𝘃𝗲 𝘁𝗵𝗲 𝗣𝘆𝘁𝗵𝗼𝗻 𝗠𝗮𝗱𝗲 𝗘𝗮𝘀𝘆 𝗖𝗵𝗲𝗮𝘁 𝗦𝗵𝗲𝗲𝘁 When learning Python, it’s easy to get overwhelmed by tutorials, syntax, and scattered notes. That’s why I built a Python Made Easy Cheat Sheet — a one-page guide to help learners understand Python faster and better. It summarizes all the essentials — from variables and loops to libraries and OOP concepts — so you can code confidently without flipping between tabs. Perfect for anyone diving into data science, automation, or web development. Simple. Practical. Beginner-friendly. 🎯 Learn smarter, not harder. #Python #LearningJourney #Programming #TechCommunity #DataScience #PythonCheatSheet #CareerGrowth

𝗪𝗵𝘆 𝗜 𝗟𝗼𝘃𝗲 𝘁𝗵𝗲 𝗣𝘆𝘁𝗵𝗼𝗻 𝗠𝗮𝗱𝗲 𝗘𝗮𝘀𝘆 𝗖𝗵𝗲𝗮𝘁 𝗦𝗵𝗲𝗲𝘁 When learning Python, it’s easy to get overwhelmed by tutorials, syntax, and scattered notes. That’s why I built a Python Made Easy Cheat Sheet — a one-page guide to help learners understand Python faster and better. It summarizes all the essentials — from variables and loops to libraries and OOP concepts — so you can code confidently without flipping between tabs. Perfect for anyone diving into data science, automation, or web development. Simple. Practical. Beginner-friendly. 🎯 Learn smarter, not harder. #Python #LearningJourney #Programming #TechCommunity #DataScience #PythonCheatSheet #CareerGrowth