Python Data Structures: List, Tuple, Set Explained

Day 27 of Coding 💻 | Python Contact Book Project Dictionaries in Python are one of the most powerful data structures — they store data as key–value pairs. Some useful functions I recalled while building this project: - dict.get(key) → Safely fetch a value without error - dict.pop(key, default) → Remove a key safely - dict.items() → Iterate through all key–value pairs - dict.update({...}) → Add/merge new data I used these concepts to create a Contact Book where you can add, search, delete, and view all contacts. A simple but effective project to strengthen my understanding of Python dictionaries. #100DaysOfCode #Day27 #Python #Dictionaries #CodingJourney #LearningByBuilding

💡Day 7 — Python List Comprehensions: Write Smarter, Not Longer! 🐍 | Mastering Clean & Efficient Code 🚀 . . Today, I learned one of the most elegant features of Python — List Comprehensions 💡 They allow you to create lists in a single line, replacing multiple lines of loops and conditions with cleaner, faster, and more readable code ⚡ This concept truly embodies the Pythonic philosophy — “Simple is better than complex.” 🧠 . . Venkata Krishna Komaragiri . #Day7 #Python #ListComprehension #PythonDeveloper #LearnPython #100DaysOfCode #Programming #CodeNewbie #DeveloperCommunity #TechLearning #CareerGrowth #AI #MachineLearning

🎯 Day 3 of #100DaysLearningChallenge 🧠 Topic Learned: Python Soft Keywords and match-case Statements 📚 Key Takeaways: Learned about the nuanced concept of soft keywords in Python, understanding how they differ from traditional hard keywords. Explored how soft keywords like match, case, _, and type allow the language to evolve without breaking existing code. Understood the practical use of soft keywords in structural pattern matching (match-case) and type aliasing (type) in modern Python. 💻 Done: Implemented match-case statements to handle multiple scenarios and saw firsthand how the _ keyword acts as a wildcard/default. Defined type aliases using the type keyword to simplify type hints and improve readability in Python. GitHub Link:https://lnkd.in/drUiz7zF Saurabh Shukla #Day3 #100DaysOfCode #PythonLearning #CodingJourney #LearnToCode #Developers #MySirG

🧩 Wait… you can use ELSE with a FOR loop in Python? Sounds weird, right? Because we all learned that else only works with if. But Python quietly lets you use else with loops too🫡 Sample code 👉 : numbers = [1, 3, 5, 7] for num in numbers:   if num == 4:     print("Found 4!")     break else:   print("4 not found in list") 💡 The else part runs only if the loop finishes normally — no break inside. 🔹 If we found 4 → break stops the loop → else is skipped 🔹 If 4 isn’t found → loop completes → else executes Neat trick, right? Came across this interesting feature while exploring Python basics — thought of sharing for those who didn’t know! #Python #CodingTips #Developers #LearnPython #Programming

🚀 Day 4/50 – Python Email Slicer 📧 Continuing my 50 Days of Python Mini Projects Challenge, today I built an Email Slicer! 🔹 Project Idea: A simple Python program that splits an email into: Username (before the @) Domain name (after the @) 💡 Learning: Practiced string manipulation using .split() Built a practical, real-world tool in just a few lines of code It’s a small project, but every line of code counts towards mastering Python! 👉 Have you ever built a small Python tool like this? I’d love to hear your ideas. #Python #PythonProjects #50DaysOfCode #CodingChallenge #Programming

☕ Mini Python Project: Python Mini Cafe 🍔🍕 Built a small Python project to simulate a cafe ordering system! ✅ What I used: Dictionaries, Functions & Recursion ✅ Features: Dynamic menu display Take multiple orders Calculate total bill Handle unavailable items gracefully 💡 Skills demonstrated: Python basics, user input handling, dictionaries, functions, recursion. A fun way to see Python applied to real-life scenarios! I’d love to hear your thoughts or suggestions for improvement! #Python #PythonProjects #Coding #Programming #LearningByDoing #Recursion #Functions #Dictionary #Projects

Python – Tuples Today, I learned about Tuples in Python which is a simple yet powerful data structure! 🔹 What are Tuples? Tuples are ordered and immutable collections of items. That means once created, their values cannot be changed or modified. 🔹 Example: t = (1, 2, 3, 4) print(t[0]) # Output: 1 🔹 Why use Tuples? • Faster than lists (since they’re immutable) • Can be used as keys in dictionaries • Great for storing fixed data like coordinates, dates, or settings ✨ Fun fact: Tuples help write safer code by preventing accidental data changes , a small but important habit in data analytics and programming. #Python #Tuples #DataStructures #CodingJourney #DataAnalytics

🚀 Solved: Armstrong Numbers from 1 to N in Python! Today, I implemented a program to print all Armstrong numbers from 1 to N using Python. 💻 🔹 What I learned: How to calculate the number of digits in a number. How to extract each digit of a number using string conversion. Applying the concept of raising digits to the power of their count and summing them. Using Python for loops efficiently to iterate through numbers and digits. 🔹 Example: For N = 200, the Armstrong numbers are: 1, 2, 3, 4, 5, 6, 7, 8, 9, 153 🔹 Key Takeaway: All 1-digit numbers are inherently Armstrong numbers, and multi-digit Armstrong numbers satisfy the sum-of-powers rule, demonstrating how number theory can be implemented programmatically. This exercise strengthened my understanding of loops, number manipulation, and Python basics, which are crucial for algorithmic problem-solving. #Python #Programming #ProblemSolving #NxtWave #LearningByDoing #ArmstrongNumbers #CodingJourney #TechSkills #50DaysCodingChallenge Day 1.