Python Basics: Understanding Lists and Append

🚀 Day 17 – Anagram Check in Python 💻 Today’s task: Write a program to check whether two strings are anagrams. 🔍 Two strings are anagrams if they contain the same characters with the same frequency, just arranged differently (e.g., *listen* & *silent*). 📌 This exercise helped me understand: • String manipulation 🧩 • Character frequency comparison 🔍 • Sorting and logical thinking ⚙️ ✨ A simple concept, but very useful in problem-solving and interviews. 📈 Learning and improving consistently every day. #Python #100DaysOfCode #CodingJourney #Programming #ProblemSolving #Developer #LearnToCode #Tech #PythonTips

🐍 Day 11 of My 30-Day Python Learning Challenge Today I learned an important Python concept often asked in interviews. 📌 What will be the output? def func(value, lst=[]): lst.append(value) return lst print(func(1)) print(func(2)) print(func(3)) 🤔 Think before you answer! 📊 Options: A) [1] [2] [3] B) [1] [1,2] [1,2,3] C) Error D) None of these 💡 This question tests understanding of mutable default arguments — a common mistake many beginners make. Answer tomorrow 👇 #Python #CodingInterview #ProblemSolving #LearningInPublic #SoftwareDeveloper

Python Series — Day 1 Answer + Day 2 Question 🚀 🧠 Day 2 Question What will be the output of this code? a = [1, 2, 3] b = a b.append(4) print(a) Options: A. [1, 2, 3] B. [1, 2, 3, 4] C. Error D. Depends on Python version Drop your answer 👇 (And don’t Google 😄) Answer tomorrow 🚀 #Python #CodingChallenge #DataEngineering #LearningInPublic #Tech

Python Tip of the Day 🐍 a and a+ are safer alternatives when you don’t want to overwrite existing content: a → Append only (write at the end) a+ → Append + Read Both modes ensure that existing data remains intact, making them ideal for logs and continuous updates. Day 44 of building Python basics. #Python #FileHandling #LearnPython #ProgrammingBasics #PythonTips

Python Series — Day 3 🧠 Let’s level it up a bit 👇 What will be the output of this code? def modify_list(lst): lst.append(4) a = [1, 2, 3] modify_list(a) print(a) Options: A. [1, 2, 3] B. [1, 2, 3, 4] C. Error D. None Think carefully 👀 (Hint: It’s not about functions… it’s about how Python handles data) Drop your answer 👇 Answer tomorrow 🚀 #Python #CodingChallenge #LearningInPublic #DataEngineering #Tech

90% people get this WRONG… will you? This looks easy… but there’s a twist hidden in the logic 😏 Only real Python pros will catch it 🧠💻 👉 Drop your answer (A/B/C/D) in comments No cheating ❌ Try first! 🚀 Follow us for more mind-bending Python challenges 📚 Want to learn Advanced Python step-by-step? Check out our books — Link in Bio #Python #PythonChallenge #CodingChallenge #LearnPython #PythonProgramming

When performing KMeans Clustering choosing the right value for k is super super important. Using the Elbow Method is a proven method to select the right k value. Based on this graph, what do you think is the best value for k? #datascience #unsupervisedlearning #machinelearning #python #kmeans #clustering

Excited to Share My New Python Library: 𝗽𝘆𝗶𝗺𝗴𝟮𝗮𝘀𝗰𝗶𝗶 I just released 𝘃𝟬.𝟱 of pyimg2ascii, a Python library I built to convert images into ASCII art. I created it to experiment with image processing and make coding a bit more fun and creative.  1. 𝗽𝗶𝗽 𝗶𝗻𝘀𝘁𝗮𝗹𝗹 𝗽𝘆𝗶𝗺𝗴𝟮𝗮𝘀𝗰𝗶𝗶 You can try it yourself and see your images come alive as ASCII art! I’d love to hear your feedback and see what you create. Check it out here: https://lnkd.in/g86iPSU4 #Python

🧠 Python Logic Check — Quick Challenge Consider the following snippet: x = 10 x += x == 10 print(x) At first glance, it looks straightforward — but it tests your understanding of how Python handles boolean expressions. 💡 Question: What will be the output? A) 10 B) 11 C) True D) Error 📌 Small details like this often separate beginners from experienced developers. 💬 Drop your answer in the comments — and explain your reasoning if you can. #Python #SoftwareEngineering #CodingChallenge #DeveloperMindset #Learning

Python interviews in 2026 aren’t about syntax anymore; they’re about depth. I compiled a set of advanced Python interview questions that explore what really matters in modern engineering discussions. Topics covered include: • Python internals • The Global Interpreter Lock (GIL) • Descriptors and metaclasses • Memory management • Generators and performance Each concept includes clear explanations and practical code snippets. If you're preparing for serious Python engineering interviews, this should help sharpen your understanding. #Python #PythonProgramming #SoftwareEngineering #CodingInterview #TechCareers