Mastering Python Data Structures: List, Tuple, Set & Dict

🔁 Python Revision – Loops Continuing my Python fundamentals revision 🐍 In this session, I focused on: ✔️ for loops ✔️ while loops ✔️ Nested loops ✔️ Loop control statements (break, continue, pass) Practiced writing programs using loops to handle repetitive tasks efficiently and explored nested loops for solving pattern-based and complex problems. Documented my practice in a colab Notebook and shared it as a PDF to track my progress. Understanding loops is helping me write more structured and efficient code 💡 #Python #Loops #Programming #Coding #LearningJourney #DataAnalytics

Started exploring the fundamentals of Python from data types to control flow and functions. It’s interesting how simple concepts like variables, loops, and functions build the foundation for solving real-world problems. Step by step, getting more comfortable with writing clean and structured code. Consistency over perfection. 🚀 #Python #Programming #LearningJourney #DataAnalytics #CodingLife #TechSkills #BeginnerToPro #Upskill #DeveloperJourney #100DaysOfCode

Started revising Python fundamentals the right way 🐍 From basics like variables, data types, and loops to concepts like functions, string manipulation, and list comprehensions—this guide really simplifies the learning journey step by step. What stands out? Python’s simplicity + powerful real-world use cases. Strong fundamentals always win 💡 #Python #Programming #DataAnalytics #Learning #Beginners

Started revisiting Python fundamentals 🐍 From variables and data types to loops, functions, and collections — it’s clear that strong basics make everything easier in the long run. What stood out to me: ✔ Simplicity in syntax ✔ Powerful built-in data structures ✔ Clean and readable code Back to strengthening the foundation 💡 #Python #Programming #LearningJourney #Coding #DataAnalytics

🚀 Day 2 — Python Journey Continuing with Python, today I focused on integer operations. 📌 What I learned: - Integer declaration - Addition, subtraction, multiplication - Division and modulus (remainder) - Power operation - Operator precedence (which operation runs first) 💡 What stood out: Understanding operator precedence is really important — the same expression can give different results if you don’t know the order of execution. Also, modulus (%) is more useful than it looks (especially for problems and logic building). Trying to stay consistent and build strong basics step by step. #Day2 #Python #CodingJourney #Consistency #LearnInPublic

Day 4/30 – Python 🐍 Today I learned about lists in Python how to store multiple values and perform operations like append, remove, and slicing. Practiced a few problems and started understanding how powerful data structures can be. Getting better every day 📈 #Day4 #Python #CodingJourney #LearningInPublic

🔁 For Loop vs While Loop in Python — Simple Difference Understanding loops is one of the first steps in mastering Python. Here's a quick comparison: ✅ For Loop Used when the number of iterations is known. Example: Iterating through a list, string, or range. for i in range(5): print(i) ✅ While Loop Used when the number of iterations is unknown and depends on a condition. i = 0 while i < 5: print(i) i += 1 📌 Key Difference for loop → iterate over sequence while loop → run until condition becomes False 💡 Tip: Use for loops for cleaner and readable code when working with collections. Use while loops when waiting for a condition (like user input). #Python #Coding #Programming #PythonBasics #LearnPython

Day 11/30 – Python 🐍 Today I learned about inheritance and how classes can reuse and extend functionality. Tried a few examples and understood how it helps in writing cleaner and scalable code. Concepts getting deeper 🔍 #Day11 #Python #CodingJourney #LearningInPublic

Understanding Nested IF statements is essential for writing conditional logic in Python. Think of it as: IF this is true, then check IF something else is also true. This flowchart breaks down exactly how nested IF works - first test the outer condition, then dive into the inner condition. Mastering this = cleaner code and better decision-making logic. #Python #CodingBasics #LearnToCode #Programming #PythonProgramming #SQL #ConditionalStatements #PowerBI #PythonTips #CodingForBeginners #TechEducation #ProgrammingBasics #SoftwareDevelopment #CodingLife #100DaysOfCode #DataScience #PythonDeveloper #LearnPython #CodeDaily #TechLearning

ℙ𝕪𝕥𝕙𝕠𝕟 𝕊𝕥𝕣𝕚𝕟𝕘 𝕊𝕝𝕚𝕔𝕚𝕟𝕘 𝔻𝕣𝕪 ℝ𝕦𝕟 🐍 When working with Python, understanding how strings are manipulated is key. Many beginners get confused by how slicing ranges work—specifically the "start" and "stop" parameters. Can you perform a dry run of this code? #PythonProgramming #CodingChallenge #PythonDevelopers #LearnToCode #DataScience #SoftwareEngineering #PythonTips #CodingQuiz #TechCommunity #DryRun #ProgrammingLife #LinkedInLearning