🎥 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 Input Statement Explained for Beginners
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📘 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
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🚀 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
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🚀 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
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🚀 Day 4: Learning Functions in Python Continuing my journey in Data Science with Python, today I focused on functions, a key concept that helps organize and reuse code efficiently. 📌 Topics Covered Today: ->Defining functions using def ->Passing parameters ->Returning values ->Writing reusable logic 💻 Practiced creating functions to perform specific tasks and avoid repeating code. ⚠️ One challenge I faced: I initially found it confusing when to use return instead of print, but practicing examples helped me understand the difference. 📊 Key Takeaways: ->Functions help break problems into smaller, manageable parts ->Code becomes cleaner and more reusable ->return allows us to reuse results in other parts of the program 🎯 Next Step: Moving towards data structures (lists, tuples, dictionaries) in Python. 📌 Would appreciate suggestions: What are the best ways to write efficient and clean functions? #Day4 #Python #DataScience #CodingJourney #Functions #LearningInPublic
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🚀 Today’s Learning Journey in Python Today, I explored two fundamental concepts in Python – Typecasting and User Input – as part of my learning journey from Satish Dhawale Sir’s SkillCourse. 📘 Understanding how to convert data types and take user input is a small but powerful step toward building strong programming logic. These basics are the foundation for writing efficient and interactive programs. To make my learning more practical and easy to revise, I created handwritten notes, and I’m excited to share them with my LinkedIn community 🤝 If you’re someone who is starting with Python or revising the basics, these notes might be helpful for you too! Let’s keep learning and growing together 💡 #Python #PythonLearning #DataAnalysis #ProgrammingBasics #CodingJourney #LearnToCode #DataAnalytics #BeginnersInTech #Upskilling #TechCommunity
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📘 Python Learning – Day 6 Highlights 🐍 Today’s class focused on Dictionaries & Loops — key concepts for real programming! 🔹 Dictionaries: Store data using key–value pairs Access, update, and manage data easily using methods like keys(), values(), items(), get() 🔹 Loops in Python: ✔ for loop → when iterations are known ✔ while loop → runs based on condition 🔹 Control Statements: break → stop loop continue → skip iteration 🔹 Practice Programs: ✔ Student record using dictionary ✔ Prime number checker ✔ Factorial calculation 💡 Learning how to store structured data and control program flow step by step 🚀 #Python #Programming #Coding #LearningJourney #Beginner #TechSkills
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🚀 Day 8 of My Python Learning Journey Today, I built a Menu-Driven Calculator Program in Python 🧮 💡 What I learned & implemented: Creating functions (def) for reusable code Performing operations like Addition, Subtraction, Multiplication, Division, and Average Using conditional statements to control program flow Taking user input for dynamic calculations 🧠 Mini Project: Calculator Program I designed a calculator that allows users to: ✔ Select an operation from a menu ✔ Input numbers ✔ Get results instantly 📌 Functions Created: add() → Addition sub() → Subtraction multiply() → Multiplication (and more...) 🔍 Key Learning: Breaking a problem into smaller functions makes the code cleaner, reusable, and easier to manage. 💭 This is helping me build a strong foundation for writing scalable and structured programs. 🚀 Next Step: Loops & Advanced Logic Implementation https://lnkd.in/gJrKBVi3 #Python #LearningJourney #100DaysOfCode #Coding #DataAnalytics #Functions #ProblemSolving
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📘 Today’s Learning – Python Strings & Slicing 🐍 Today I explored one of the most important concepts in Python — Strings and Slicing. 🔹 Learned what strings are and how they store text data 🔹 Understood that strings are immutable (cannot be changed directly) 🔹 Practiced indexing to access characters 🔹 Learned slicing (start : stop : step) to extract parts of strings 🔹 Explored negative indexing and string reversal using slicing 🔹 Understood difference between strings vs lists 🔹 Practiced string methods, operators, and loops 🔹 Learned f-strings for clean and professional output 💡 One key takeaway: 👉 Slicing and indexing are very powerful for data manipulation and are widely used in real-world applications. 📌 Also practiced a small logic: Counting vowels in a string using loops and conditions. Step by step, improving my Python fundamentals 🚀 #Python #LearningJourney #DataScience #Coding #Beginner #Strings #Programming #100DaysOfCode #FullStackAcademy
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Day 4/30 – Exploring Python concepts Today I spent some time learning important Python concepts like loops, lists, tuples, and dictionaries. Loops help us repeat tasks efficiently instead of writing the same code multiple times. Lists and tuples allow us to store multiple values in a single variable, making data easier to manage. Dictionaries help organize data in a key-value format, which makes accessing information faster and more structured. Understanding these concepts helped me see how Python can be used to handle data and automate tasks in a much simpler way. Each small concept I learn is helping me build a stronger foundation in programming. Excited to keep learning and improving every day. ✨ #Day4 #30DaysOfPosting #PythonLearning #CodingJourney #ProgrammingBasics #LearningJourney
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🚀 Day 16/30 – Python Challenge Exploring file handling in Python in more depth! 🐍📂 🔹 Key Concepts Covered: * File operations: read and write * File modes ("w" for writing, "r" for reading) * Managing file content programmatically * Importance of closing files after use 💻 Mini Task: Created a file, wrote custom content into it, and then read the same content back to display it in the console. 🎯 Learning Outcome: Gained a better understanding of how Python interacts with external files, which is essential for data storage, logging, and real-world applications. From basic coding to real-world concepts step by step 🚀 #Python #CodingChallenge #LearningJourney #FileHandling #BuildInPublic #StudentDeveloper #Day16
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