Mastering Tuples, Lists, Dictionaries in Python with VS Code

Days 27 & 28 of 70 Days of Learning with Cedars Productivity Centre and DataCamp Wrapped up the “Writing Efficient Python Code” course. This module was packed with practical insights on how to make Python code faster, cleaner, and more Pythonic. Here’s what I covered: Understanding what makes code efficient and Pythonic Using Python’s powerful built-in libraries effectively Leveraging NumPy arrays for speed and performance Profiling with magic commands to spot bottlenecks Writing efficient solutions using zip(), itertools, collections, and set theory Exploring loop optimization, including iterrows() and other DataFrame iteration tools Learning the best practices for iterating with pandas DataFrames Every concept reinforced how much performance and readability go hand-in-hand and how the right tools make all the difference! #ThisisCedars #EmpoweredbyCedars #Python #DataEngineering #LearningJourney #DataCamp #CodeEfficiency #NumPy #Pandas #70DaysOfLearning

80% of Python code is hard to maintain Messy file handling is a big reason why. But there’s one simple fix that makes your code cleaner and more reliable: Pathlib. Pathlib helps you manage files and directories with intuitive, readable code — and it’s built right into Python. Interest? Join our Python community to keep learning new Python tips: https://lnkd.in/gJm-s86Y #Zerotoknowing #PathLib #Coding #Technology #pythonprogramming

Learn with Kryzotech – Episode 4 In Python, a comment is a line of text that the computer ignores when running your code. It’s written only for humans — to explain what the code does, why it’s written that way, or to leave notes for later. Comments start with the # symbol, and everything after it on that line is skipped by Python. For example: # I love python This means Python won’t execute it; it’s just a message for the coder. Using comments makes your code cleaner, easier to understand, and helps when working with teammates or revisiting your own code later. 🐍💬 #LearnWithKryzotech #PythonComments #CodingMadeEasy #TechWithKryzotech #ProgrammingTips

🟨 Day 08 – Python Practice: Leveling Up with Functions! 🟨 Today, I tackled three key concepts in Python by solving practical problems in a single, integrated program: 🔹 Default Arguments – Built a calculator that adds and subtracts values, with smart defaults when no second number is given. 🔹 *args (Variable-Length Arguments) – Wrote a function to compute total and average marks, no matter how many scores are entered. 🔹 **kwargs + Lambda – Created a dynamic profile card using keyword arguments and used a lambda function to square the user’s age! 📌 Key Takeaways: ✅ Improved my understanding of Python function parameters ✅ Practiced code reusability and readability ✅ Combined logic cleanly in a single script 🚀 Small steps like this are building my confidence one line of code at a time! #100DaysOfCode #Python #LearningByDoing #FunctionArguments #LambdaFunctions #CodeNewbie #DevJourney #PythonPractice #Day08

Day 13: #100DaysOfCodingChallenge 🚀 Focusing today on in-place array transformation patterns in Python, specifically replacing each element with the greatest value among those to its right. 📌 Today's Progress: 1️⃣ Replace Elements with Greatest Element on Right Side (LeetCode 1299) 👉Problem: Modify the array so each element is replaced by the greatest element to its right (final element set to -1). 👉Approach: Scanned the array from right to left, tracking the current maximum 'max_right' and updating each value in-place. Achieves O(n) time and O(1) space with a clean backwards pass. Practising these in-place update patterns helps build critical skills needed for real-world coding and interview scenarios. Thanks as always to Nandan Kumar Mishra Sir and #KRMangalamUniversity for their continuous encouragement! #DSA #100DaysOfCodingChallenge #CodingChallenge #ProblemSolving #Python hashtag#Array #InPlace #LeetCode #LearningTogether #100DaysOfCode

Hello, everyone 👋 Welcome to Day 7 of my #30DaysOfPython journey! 🚀 Today, I explored one of the most powerful concepts in Python — Loops! 🐍 Loops are used to repeat a block of code multiple times, making our programs more efficient and easier to manage. Python provides two main types of loops : 🔹 for loop — used when we know how many times we want to repeat. 🔹 while loop — used when we want to repeat code until a condition becomes False. I also learned about loop control statements like break, continue, and pass which help manage how loops behave. Learning loops is an important step to write dynamic and smart programs! 💡💻 LogicWhile #Day7 #Python #LearnPython #PythonBasics #PythonLoops #ForLoop #WhileLoop #InfiniteLoop #CodingJourney #PythonProgramming #ProgrammingBasics #TechLearning #Developers #CodeEveryday #KeepLearning #ProgrammingCommunity #StudyPython #CodeWithMe #100DaysOfCode #PythonForBeginners

🧠 OOPs — Encapsulation in Python Encapsulation means protecting your data like a pro! 🔐 It binds variables and methods into one secure unit — the class — and controls access through getters and setters. 👩💻 From public to protected to private, encapsulation keeps your code clean, modular, and secure. Mastering this concept = mastering Python OOPs 💪 #Python #Encapsulation #OOPsConcept #PythonProgramming #CodeWithChandru #Upsynz #LearnPython #ObjectOrientedProgramming #TechEducation #PythonDevelopers #CodeDaily #CodingCommunity #PythonTips #ProgrammingLife #PythonLearners #CodeSecurely #DataProtection #PythonBasics #PythonClasses #CodingIsFun #DeveloperMindset #CodeNewbie #InstaCode #TechLearning #PythonTutorial #WomenWhoCode #100DaysOfCode #CodeJourney #PythonLovers #TechInnovation

👋 Welcome back, everyone! Let’s continue our Python learning journey 🚀 Today, we’ll dive into some core basics: Variables, Data Types, Input/Output, and Comments — the foundation of every Python program! Swipe 👉 to learn with simple examples and to understand how Python handles data, interacts with users, and keeps your code readable 💡 🔁 Save this post & Follow for more Python notes! #Python #DataScience #MachineLearning #LearningJourney #LinkedInLearning #CodingForBeginners

Ajay Miryala 10000 Coders #day4 🔍 Exploring Slicing in Python! 🐍 I’ve created a short and clear guide on one of Python’s most powerful features — Slicing. This concept allows developers to easily extract portions of sequences like lists, tuples, and strings using simple syntax. The document covers: ✅ The syntax and logic behind slicing (sequence[start:stop:step]) ✅ Forward and backward slicing techniques ✅ Practical examples for both positive and negative indexing ✅ How to reverse sequences using slicing This is a great resource for beginners looking to strengthen their understanding of Python fundamentals. #Python #Programming #Coding

🚀 Day 46: Mastering Mutable Objects in Python! Another day, another Python challenge conquered! 💪 Today, I dove deep into the fascinating concept of passing mutable objects (like lists and dictionaries) into functions. It's a fundamental topic that highlights the power—and potential pitfalls—of Python's "pass-by-object-reference" model. Understanding how a function can directly modify the original mutable object passed to it is crucial for writing clean, predictable code. I feel much more confident in avoiding unexpected side effects now! Every piece of knowledge solidifies the foundation for bigger projects. Onward to the next concept! #NxtWave #Python #CodingChallenge #WebDevelopment #MutableObjects #CodeLife