Python Lists vs Tuples: A Guide to Choosing the Right Data Structure

Excited to share something I’ve been working on 📘🐍 I’ve created 170+ pages of chip-sized handwritten Python notes that cover everything from the basics to core concepts—perfect for beginners and quick revision. 🧠 What’s inside? • Python fundamentals & installation • Data types, variables, operators • Conditional statements & loops • Functions, OOP, modules, packages • Clean explanations with handwritten examples These notes took 25+ hours to put together with one goal in mind: making Python easier to understand. The book is available for free, and if you find it helpful, a small support goes a long way 🙌 Would love your feedback and support! Feel free to check it out, rate it, and share with someone learning Python 🚀 #Python #Learning #Programming #HandwrittenNotes #Beginners #CodingJourney

🎥 Python Chapter 1 – Practical Implementation After learning the fundamentals of Python Chapter 1, I decided to apply the concepts through hands-on coding. In this video, I implemented the basic concepts I recently learned. 💻 Concepts covered in this practical: • Python executing code line-by-line • Working with variables and memory references • Using the input() function • Writing expressions and statements • Adding comments for better code understanding • Maintaining proper indentation Practicing every concept step-by-step to build a strong foundation in programming. This is just the beginning of my Python learning journey, and I’m excited to keep improving every day. #Python #CodingPractice #ProgrammingJourney #LearningByDoing #DeveloperJourney Saumya Singh

Today I learned an important Python concept while working with functions — the difference between: Positional Arguments – Values are assigned based on their position. Keyword Arguments – Values are assigned using parameter names (order doesn’t matter). Default Arguments – Predefined values used when no argument is passed. What I found interesting is how keyword arguments make code more readable and flexible. And default arguments help avoid errors when optional values aren’t provided. Small concepts like these build strong foundations in Python 🚀 #Python #CodingJourney #Learning #Functions #Programming #100DaysOfCode

🚀 Python Learning Journey – Back to Fundamentals Today I revisited one of the most important concepts in Python — Conditional Statements (if, elif, else). Strengthening the basics always builds a strong foundation for advanced problem-solving. To reinforce my understanding, I built a Mini Quiz Game 🎯 using Python. 🔹 Features of my project: • Multiple-choice questions • Answer validation using conditional logic • Score tracking system • Final performance feedback based on score This small project helped me improve my logical thinking and understand how conditions drive real-time decision-making in programs. 💡 Key takeaway: Even simple concepts like conditional statements can be powerful when applied in real-world scenarios. Looking forward to building more such projects and improving step by step! 🚀 #Python #CodingJourney #LearningByDoing #Programming #Students #100DaysOfCode

One thing I realized while learning Python: tutorials alone are not enough. The real learning started when I began building small projects. The first three projects that helped me build my foundation in Python were: • Number Guessing Game • A simple To-Do List • Rock Paper Scissors These small projects helped me understand programming logic much better than passive learning. I made a short video sharing these beginner-friendly project ideas for anyone starting with Python. If you are learning programming, try building small projects like these. What was the first project you ever built while learning to code? #python #programming #learncoding #codingjourney #softwaredevelopment

🚀 Built a Mini Project Using Python Functions & Conditional Statements 🐍 As part of my Python learning journey, I built a small project by applying: 🔹 Functions (def) 🔹 Conditional Statements (if-elif-else) 🔹 User Input Handling 🔹 Basic Error Handling (like division by zero) This project helped me understand: ✔ How to structure code into reusable blocks ✔ How real-world programs make decisions ✔ How to combine multiple concepts into one working system Instead of just writing practice programs, I challenged myself to integrate everything into a complete mini application. 💡 Key Learning: Programming becomes powerful when concepts connect together. Step by step, moving from learning syntax to building logic-driven programs. Excited to keep improving every day 🚀 #Python #Programming #DataScienceStudent #LearningInPublic #100DaysOfCode #FutureDataScientist

Stop letting your Python code crash! 🐍🚫 Resilient code doesn’t just work; it handles errors gracefully. Master these basics: 🔹 Be Specific: Catch specific errors like ValueError instead of using a bare except. 🔹 Cleanup: Use finally to close files or connections every time. 🔹 Customization: Define your own exceptions for clearer logic. Check out the guide below to keep your scripts running smoothly! 💻✨ What’s your most common Python error? 👇 #Python #Coding #Programming #Tips

🚀 Day 13 of #30DaysOfCode – Understanding Scope in Python Today I worked on the concept of Scope and implemented a program to find the maximum absolute difference between elements in an array. 🔹 Created a Difference class with a private array __elements. 🔹 Implemented the computeDifference() method to calculate the maximum difference between any two numbers. 🔹 Used Python’s built-in max() and min() functions to efficiently compute the result. 💡 Key learning: Understanding scope and access modifiers (like private variables using __) helps control how data is accessed within a class. 📌 Concepts practiced: • Variable scope in classes • Private variables in Python • Working with arrays/lists • Using max() and min() for efficient computation Daily coding practice is helping me strengthen my problem-solving and Python fundamentals. On to the next challenge! 💻 #Python #CodingChallenge #HackerRank #ProblemSolving #LearningJourney #30DaysOfCode

Just published my one more latest Python guide I spent my first month of Python copying list examples that made zero sense in real projects. So I wrote the guide I wish I'd had – Mastering Python Lists: 10 Real-World Examples, actual situations where lists matter: → Processing messy spreadsheet data → Building undo buttons → Handling shopping carts → Pagination that actually works If you're learning Python, save yourself the headache I had a solution for it. 📖 https://lnkd.in/gbVscJnZ #Python #Programming #DataStructures #SoftwareDevelopment #Coding #TechBlog #LearnToCode #PythonProgramming #CleanCode #InnomaticsResearchLabs

📘 Day 23 of my #90DaysPythonChallenge Today, I worked on more interview-focused and logic-building problems in Python. 🔹 Practiced anagram checking without built-in shortcuts 🔹 Solved leader and majority element problems 🔹 Implemented stack logic for balanced parentheses 🔹 Explored bitwise logic (Power of 2 check) Each day, I’m strengthening my problem-solving mindset and understanding of core algorithms. 🚀 📂 Practice code available on GitHub: https://lnkd.in/dnNfeh_f #Python #90DaysPythonChallenge #LearningInPublic #CodingJourney #ProblemSolving #Programming