Python While Loop: Repeat Until Condition Changes

How FINALLY keyword in Python can silently change your function’s behaviour? How does the try except flow works? 1. When Python enters a try block, it pushes a "cleanup" instruction onto the stack. 2. When you hit a return statement inside try, Python doesn't actually exit the function immediately, it just "saves" the return value. 3. If you return inside the finally block itself, the original return value is discarded. More worse - This same thing happens with exceptions too. If your try block raises a error, but your finally block has a return or a break, the error vanishes! Takeaway - 1. Never use return, break, or continue inside a finally block. It can lead to "silent failures" and unexpected bugs. 2. Finally is meant only for cleanup (closing files, releasing locks) and not logic. I’m deep-diving into Python internals. Do follow along and tell your experiences in comments. #Python #PythonInternals #SoftwareEngineering #BackendDevelopment

What are the 33 words in Python? I thought Python was simple—until I learned this A lot of beginners ask: “Are there really only 33 words in Python?” Yes — Python has a small set of reserved keywords you can’t use as variable names. Here’s the simple way to remember them 👇 💡 Logic & flow: if, else, elif, for, while, break, continue 💡 Functions & classes: def, return, class, lambda 💡 Truth & logic: True, False, and, or, not, is 💡 Exceptions & context: try, except, finally, raise, with 💡 Misc essentials: import, from, as, pass, None, global, nonlocal, assert, del, yield That’s it. Master these—and Python suddenly feels way less scary. 🐍 Comment “Python” and I’ll DM you a beginner cheat sheet. #Python #LearnToCode #TechCareers #ProgrammingBasics #LinkedInLearning

🚀 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

Most Python problems don’t fail because of logic. They fail because of how we expect Python to behave. We ask Python to give us everything.... All rows. All values. All results ....right now. And Python quietly asks a better question: What if you only took what you need? That’s where a different way of thinking begins. Generators don’t rush. They don’t store. They don’t panic about size. They move forward, one step at a time. When data grows, when files get heavy, when performance starts to matter this mindset changes everything. Python doesn’t reward clever tricks. It rewards calm, intentional thinking. And the day you realise that, your code stops feeling busy and starts feeling clean. For those who enjoy learning concepts this way, I’ve shared my Python learning notes and resources on Topmate. https://lnkd.in/gasgBQ6k #Python

Boolean Logic in Python — No if, no else, just clean decisions 🧠🐍 Today I’m sharing a small Python example that shows how boolean logic can replace traditional if / elif / else blocks in a clean and expressive way. The program asks three simple questions: Is it raining? Do you have an umbrella? Can you wait? From there, it makes a decision using only: and or not No conditionals. Just pure logic. Why is this interesting? Because Python’s boolean operators don’t just return True or False — they can return values. Combined with short-circuit evaluation, this allows you to describe decisions declaratively instead of controlling the flow step by step. This approach is especially useful when: Conditions are mutually exclusive Logic is clear but branching would be verbose You want readable, compact decision rules In the video, I break down: How user input becomes booleans How and, or, and not actually behave in Python Why the first “true” expression wins When this pattern is elegant — and when it’s not Sometimes the cleanest decision-making code has zero if statements. If you’re learning Python or revisiting fundamentals, this is a great example of how understanding the basics deeply can level up your code. #Python #BooleanLogic #Programming #SoftwareDevelopment #CleanCode #PythonTips #LearningPython #CodeExamples

🧠 “Interesting Python Nugget” (Lists) Python List Trick You’ll Actually Use Did you know you can remove duplicates from a list in ONE line? nums = [1, 2, 2, 3, 4, 4] unique_nums = list(set(nums)) ✔ Simple ✔ Fast ✔ Super handy for real projects Python has tons of these tiny gems that save time and make code cleaner. 📬 We explain one Python concept every day — short, clear, and practical. Want more? Subscribe and learn Python daily ✨ link in the comments Please sign up and follow #PythonChallenge #PythonLearning #CodeChallenge #PythonDaily #PyDaily

🚀 New YouTube Video: Python zip() Function Explained | From Basics to Internals 🐍🔗 The zip() function looks simple, but it plays a very important role when working with multiple iterables in Python—especially in clean, efficient code. In this video, I’ve explained the Python zip() function from scratch, including: ✅ What the zip() function does ✅ How zip() works with multiple iterables ✅ How iter() and next() work behind the scenes ✅ Why zip() stops silently ✅ Common mistakes beginners make If you’re learning Python or revising core concepts, this video will help you understand zip() with clarity and confidence 💪 🎥 Watch here: 👉 https://lnkd.in/gAEpQiUW If you find it helpful, don’t forget to like, share, and subscribe 🙌 Your feedback really motivates me to create more quality content. #Python #PythonProgramming #FileHandling #LearnPython #DataAnalytics #DataScience #ProgrammingBasics #SoftwareDevelopment #Coding #YouTubeEducation #datadenwithprashant #ddwpofficial If this helped you, drop a 👍 or comment “zip” 👇

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

🌙 Day 10/100 | #100DaysOfCode 🚀 Today I explored List Operations in Python — and honestly, lists are SUPER powerful! 🐍✨ Here’s what I learned today 👇 🔹 append() – Add an item at the end of the list 🔹 insert() – Add an item at a specific position 🔹 remove() – Remove an item by value 🔹 pop() – Remove an item by index 🔹 sort() – Arrange items in ascending order 🔹 reverse() – Reverse the whole list 🔹 len() – Find total number of items in the list Small operations, but they make data handling so much easier and cleaner 💻📊 Step by step, building strong basics in Python 💪 Consistency over perfection — always! 👉 Tomorrow, more learning, more growth 🚀 #Python #100DaysOfCode #LearningInPublic #PythonLists #CodingJourney #DeveloperLife #DailyLearning #TechSkills #Consistency

Learning Python: if, elif, and else made simple Today I discovered why Python’s elif statement is so powerful. When you only have two conditions, if and else are fine. But real-world logic usually has more than two rules 👀 Example: ✅ Username must be at least 3 characters ❌ Must not exceed 15 characters ❌ Should not contain numbers Instead of messy nested if statements, Python gives us elif to keep code: ✔️ Cleaner ✔️ More readable ✔️ Easier to extend 💡 Why it matters: Branching with if / elif / else is where programs start thinking and deciding, from login systems to automation scripts. Still learning, still building 💪 One condition at a time 💬Your turn: Have you struggled with nested if statements before? Share your experience below ⬇️ #Python #PythonTips #LearningToCode #100DaysOfCode #ProgrammingBasics #BeginnerDeveloper #CodeNewbie #GooglePython