Python Closures and Lambda Functions

🚀 Day 20 of my Python learning journey Today I learned about Operator Overloading in Python. I understood how we can define the behavior of operators like +, -, * and == for custom objects by overriding specific magic methods in our class. I practiced building a Vector class from scratch and tested different operations on Vector objects to see how Python internally calls these magic methods. I always used w3schools.com to understand the concepts more clearly. Today's learning helped me understand how powerful and flexible OOP really is. You can make your custom objects behave just like built-in types. My work is here https://lnkd.in/gGsjWtee #Python #100DaysOfCode #LearningInPublic #OOP #Programming #Developers #DSA #W3Schools

🐍 Understanding Lists in Python Just shared a quick video explaining Python lists and how they work in real scenarios. In this video, I covered: ✔ Basics of Python lists ✔ How to work with list elements ✔ Common operations used in day-to-day coding ✔ Simple examples for better understanding If you're getting started with Python or revisiting the basics, this might be helpful 👇 🎥 Watch here: [https://lnkd.in/grs6x3Zn] Building strong fundamentals for better problem-solving 🚀 #Python #Programming #Coding #Developers #TechLearning #SoftwareDevelopment

✨Learning never stops! Exploring Python list methods in a fun and visual way From ".append()" to ".pop()", mastering these basics builds strong coding foundations. Simple concepts like these make problem-solving faster and more efficient. Consistency in learning is the key to becoming a better developer #Python #Programming #Coding Journey #Learning #Developers💻

🚀 Today I Learned: Python Lists Continuing my Python journey, today I explored one of the most important concepts — Lists. 🔹 What I learned: - Creating lists to store multiple values - Accessing items using index - Adding & removing elements (append, insert, remove, pop) - Updating list values - Using loops to iterate through a list 🔹 Small practice: I created a list of numbers and calculated the average using Python. 💡 Lists are very useful in real-world projects for handling data efficiently. I’m excited to keep learning and building more with Python every day! #Python #LearningJourney #Coding #Programming #Beginners #100DaysOfCode

Your Python journey starts here 🚀 Confused about what to learn and in what order? Don’t worry — we’ve got you covered with a complete roadmap from basics to advanced concepts 💻 Start with syntax, master data structures, understand OOP, and explore powerful libraries like NumPy & Pandas. Step by step, you’ll build the skills needed to become industry-ready in 2026. 📍 Learn smarter with CodeSquadz 📞 78-79-33-22-11 🌐 www.codesquadz.com #Python #CodingJourney #LearnPython #TechSkills #Programming #Developers #CodeSquadz #FutureReady #Upskill

🧠 Python Trick Question x = (1, 2, 3) x[0] = 10 What will happen? 🤔 A: (10, 2, 3) B: Error C: None D: (1, 2, 3) 👇 Think before scrolling 👉 Answer: Error Because tuples are immutable. 🚀 Basics clear = strong foundation #Python #CodingChallenge #Developers #Programming #Learning

📘 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 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 Learning Series – Part 3 Continuing my Python journey, this part focuses on one of the most important concepts in programming — Loops. 📌 In this part, I’ve covered: • What loops are and why they are used • for loop and its practical use cases • while loop for condition-based execution • break & continue for better control • Nested loops for complex logic and patterns Loops play a crucial role in building logic, automating tasks, and working with data efficiently. 💡 This part helped me understand how to write cleaner and more efficient code. More parts coming soon as I continue learning step by step! I’d love to hear your feedback and suggestions 🙌 #Python #LearningJourney #Programming #Coding #DataAnalytics #TechSkills #Loops

🚀 Day 2 of Learning Data Analysis Continued with core Python concepts today: 🔹 Operators and operands 🔹 Conditional statements (if-else) 🔹 Writing basic logic-based programs 💡 Key Learning: Logic building is the most important skill in programming. The more problems you solve, the better you get. Small steps daily = big results 🚀 #Python #Programming #DataAnalytics #Consistency