Mastering Python Lists & Command Handling on HackerRank

Python 3.14 is coming. Yes, 3.14. Yes, Pi. I don’t eat gluten, but I’ll happily take this slice. Behind the joke, this release keeps pushing Python in the right direction: - Performance improvements continue (faster execution, less overhead). - Better error messages and diagnostics, making debugging less of a guessing game. - Ongoing work on typing and tooling, which keeps Python flexible without giving up structure. adding power for large, serious systems, while staying readable and approachable. Good math, good engineering, and still a sense of humor. That’s a recipe I can get behind. #Python #PythonPI #LearningByDoing

Today I learned about Lambda Functions in Python 🐍 A lambda function is a small, anonymous function written in a single line using the lambda keyword. It’s mainly used for: ✅ Short and simple operations ✅ Writing compact code ✅ Using inside functions like map(), filter(), and sorted() Example idea: Instead of writing a full function to square a number, we can do it in one line with a lambda function. Less code. Same logic. Cleaner style. Understanding these small tools really helps in writing more Pythonic and efficient code. Learning one concept every day 🚀 #Python #DataScience #LearningInPublic #Programming #100DaysOfCode #CareerSwitch

𝗣𝘆𝘁𝗵𝗼𝗻 𝗗𝗮𝗶𝗹𝘆 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 | 𝗛𝗮𝗰𝗸𝗲𝗿𝗥𝗮𝗻𝗸 – 𝗪𝗿𝗶𝘁𝗲 𝗮 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻 (𝗟𝗲𝗮𝗽 𝗬𝗲𝗮𝗿) This “simple” Python function breaks most beginners. 𝗗𝗮𝘆 𝟲 of my Python Daily Challenge 🚀 Today’s task looked familiar: 👉 Check if a year is a leap year 👉 Return True or False But this wasn’t about memorizing rules. What it actually tested 👇 • Can you translate real-world rules into code? • Do you handle edge cases (100, 400, 2000)? • Do you write clean logic instead of nested confusion? 💡 Lesson from Day 6: Most interview mistakes don’t come from syntax. They come from 𝗺𝗶𝘀𝘀𝗶𝗻𝗴 𝗰𝗼𝗻𝗱𝗶𝘁𝗶𝗼𝗻𝘀. That’s why I’m rebuilding Python fundamentals daily — logic first, code second. Did leap year logic ever confuse you? Be honest 👇 #Python #HackerRank #DailyCoding #InterviewPrep #LearnInPublic #100DaysOfCode #DynamicProgramming #MediumLevel #CodingJourney #ProblemSolving #DataAnalysis #CodingInterviews

Week 2 | Phase 0 Foundation (Python) | Mini Project video is up. This one's about data structures lists, dictionaries, functions. The stuff that lets you actually organize and manage test data. Built a Test Data Organizer from scratch. A simple CLI tool to add, track, and update LLM test cases. All stored in memory using a list of dictionaries. No database. No framework. Just Python doing the job. If you're following along, try building it yourself first. This video is here if you get stuck or want a different perspective. Link in comments. #GenAITesting #LLMTesting #Python #AITesting #QAEngineer #LearningInPublic #GenAI #SoftwareTesting #52WeekChallenge

Day 1: Started My Python Learning Journey! 🐍 Today I dove into Python fundamentals and learned some core concepts that every beginner should know. Here's what I covered: What is Python? Python is a high-level, interpreted language known for its simplicity and readability. Created by Guido van Rossum in 1991, it's perfect for beginners and powerful for professionals. It's used everywhere - web development, AI, data science, and automation! Python Execution Process: Learned how Python runs code: Write Code → Compilation (to bytecode) → Interpreter (PVM) → Output. Understanding this helps debug better! Key Concepts I Mastered: ✅ Comments - Documenting code with #, """ """, and inline comments ✅ Print Parameters - Using sep and end to format output beautifully ✅ Types of Data - Integer, Decimal (Float), Single Character, String, and Boolean ✅ Variables - Dynamic typing means no declaration needed! Variables can change type anytime ✅ Identifiers - Rules for naming variables: start with letter/underscore, no spaces, case-sensitive, no keywords #Python #LearnPython #PythonProgramming #CodingJourney #Day1 #100DaysOfCode #BeginnerProgrammer #TechLearning

Mini Task 11 (Bootcamp Session 12): Basic Python 💻🐍 In this task, I practiced building and accessing structured data using Python dictionaries to create a complete personal biodata and dynamically display specific information. Key Learnings: 📌How to create a well-structured dictionary to store personal data 📌How to access dictionary values using keys and variables 📌How to display outputs clearly using formatted strings (f-strings) Concepts Applied: 💡Python Dictionary (key–value data structure) 💡Dynamic key access (target_key) 💡f-string formatting for readable output 💡Handling lists inside a dictionary (skills) Special thanks to our mentor Muslar Alibasya for the insightful guidance and MySkill ✨ #Python #DataAnalysis #MySkill #LearnAtMySkill #AnalyticalThinking #PortfolioBuilding #GoogleColab

✅ Python Array Basics | Core Logic Without Built-ins Today I focused on strengthening array fundamentals in Python by solving multiple problems without using built-in functions. This helps in understanding how things work internally and builds real problem-solving confidence. 🧠 What I Practiced Today • Find maximum element without using max() • Find minimum element without using min() • Calculate sum of array elements • Count even and odd numbers • Replace negative numbers with 0 • Check if a target element exists • Find index of a target element 🔍 Approach • Used basic loops and condition checks • Avoided shortcuts to focus on logic • Improved clarity on traversal and comparisons ⏱ Complexity • Time: O(n) • Space: O(1) 📌 Key Learning Mastering basics without built-ins builds: Strong logic Interview confidence Better understanding of optimized solutions later These fundamentals directly help in DSA interviews and real debugging. ✅ Day 33 completed — sharpening the basics before moving faster. #DSA #Python #CodingPractice #ProblemSolving #LearningInPublic #SoftwareEngineering #CoreProgramming #Consistency #LeetCode

🚀 Day 23/100 | #100DaysOfCode with Python 🐍 Today I learned three super useful concepts that make Python code shorter, cleaner, and more powerful 👇 ✨ Lambda Functions Small, anonymous functions written in a single line. Perfect when the logic is simple and you don’t need a full function. 🔁 map() Function Used to apply the same operation to every element in a list or iterable. Great for transforming data quickly and efficiently. 🎯 filter() Function Helps extract only those values that match a condition. Super helpful when working with real-world data. What I loved today: Less code ✅ Better readability ✅ More confidence with Python ✅ Taking one step forward every day, no matter how small 💪 Consistency > Perfection 🚀 If you’re learning Python too, what did you practice today? Let’s share and grow 👇 #Day23 #PythonLearning #Lambda #MapFunction #FilterFunction #100DaysOfCode #CodingJourney #LearnToCode #DeveloperInMaking #DailyLearning

Stop writing for loops for simple transformations. 🛑 If you are still initializing empty lists and appending results one by one, it’s time to upgrade your Python toolkit. The combination of map() and lambda is the ultimate "clean code" hack. It allows you to apply logic to an entire iterable in a single, readable line. What’s inside the new video: ✔️ The Syntax: Breaking down the map(function, iterable) structure. ✔️ Anonymous Power: Why lambda is the perfect partner for one-time logic. ✔️ Real-world Examples: Transforming data without the boilerplate code. Check out the full breakdown here: https://lnkd.in/gmGapwUB Subscribe to Codeayan youtube channel for more such upcoming content.🫡 #PythonProgramming #CodingTips #DataScience #SoftwareEngineering #PythonTips #Codeayan #datascience #pythonfunctions

💡 Python Insight from Production Code One mistake I often see—even in mature codebases—is confusing raise with return. They may look similar, but they serve very different purposes. 🔸 raise Used to stop execution immediately and signal that something went wrong. It enforces correctness and makes failures explicit. 🔹 return Used to exit a function gracefully and pass a result back to the caller. It keeps control flow predictable. 📌 Real-world rule: Use raise when continuing execution would hide a bug Use return when the outcome is expected and handled Clear error handling is not about writing more code — it’s about writing honest code. 👉 Save this if you write Python professionally 👉 Share with someone who’s still mixing these up #Python #PythonProgramming #BackendDevelopment #CleanCode #SoftwareEngineering #ProgrammingTips #CodeQuality #DeveloperCommunity #TechLeadership #LearnPython #CodingBestPractices #EngineeringMindset #100DaysOfCode