Python HackerRank Challenge: Student Marks Calculation

𝗣𝘆𝘁𝗵𝗼𝗻 𝗗𝗮𝗶𝗹𝘆 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 | 𝗛𝗮𝗰𝗸𝗲𝗿𝗥𝗮𝗻𝗸 – 𝗟𝗶𝘀𝘁𝘀 & 𝗖𝗼𝗺𝗺𝗮𝗻𝗱𝘀 | 𝗗𝗮𝘆 𝟭𝟮 This Python question checks how well you follow instructions. Day 12 of my Python Daily Challenge 🚀 Today’s problem wasn’t about lists. It was about reading commands and reacting correctly. 👉 Insert 👉 Remove 👉 Append 👉 Sort 👉 Reverse 👉 Print The real challenge 👇 • Mapping text commands to list operations • Handling different inputs cleanly • Writing logic that doesn’t break mid-way 💡 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗽𝗮𝘁𝘁𝗲𝗿𝗻 𝗳𝗿𝗼𝗺 𝗗𝗮𝘆 𝟭𝟮: Many candidates fail not because of logic, but because they don’t handle all cases. Clear conditions = reliable code. That’s why I’m practicing Python fundamentals daily — thinking like the interpreter, not just the coder. Which list operation do you forget most in interviews? 👇 #Python #HackerRank #DailyCoding #ProblemSolving #InterviewPrep #LearnInPublic #Consistency

🚀 Python with DSA – Day 51 Today’s focus: Recursion & Backtracking (Subsets – Basics) 🧠🐍 ✅ Revised recursion fundamentals (base case & recursive call) ✅ Understood backtracking as try → explore → undo ✅ Solved the Subsets problem using include/exclude strategy ✅ Debugged a common mistake: parameter mismatch in recursive calls ✅ Learned how to explain recursion clearly in interviews 💡 Key takeaway: For every element, we have two choices – include or exclude. This simple idea builds powerful solutions in backtracking. 📌 On to the next step: handling duplicates & advanced backtracking problems. Consistency > Motivation. One day at a time. 💪 #Python #DSA #Recursion #Backtracking #LearningInPublic #LeetCode #ProblemSolving #SoftwareEngineering

𝗣𝘆𝘁𝗵𝗼𝗻 𝗗𝗮𝗶𝗹𝘆 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 | 𝗛𝗮𝗰𝗸𝗲𝗿𝗥𝗮𝗻𝗸 – 𝗦𝘁𝗿𝗶𝗻𝗴 𝗩𝗮𝗹𝗶𝗱𝗮𝘁𝗼𝗿𝘀 | 𝗗𝗮𝘆 𝟭𝟴 These 5 Python methods quietly decide many interview answers. Day 18 of my Python Daily Challenge 🚀 Today’s problem looked basic: 👉 Check if a string has letters 👉 Digits 👉 Uppercase 👉 Lowercase But interviews test how you check 👇 • Using any() vs looping manually • Understanding what each validator actually returns • Reading problem statements precisely 💡 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗽𝗮𝘁𝘁𝗲𝗿𝗻 𝗳𝗿𝗼𝗺 𝗗𝗮𝘆 𝟭𝟴: Built-in methods aren’t shortcuts. They’re 𝘀𝗶𝗴𝗻𝗮𝗹𝘀 that you understand the language. If you can explain why a method works, you’re already ahead. Which string method do you forget most often? 👇 #Python #HackerRank #DailyCoding #ProblemSolving #InterviewPrep #LearnInPublic #Consistency

Spent some time today revisiting something I used to completely overlook in Python — how objects actually behave behind the scenes. Earlier I used to memorize outputs. Now I’m trying to understand why they happen. A few things finally clicked for me: Variables don’t hold values, they point to objects. Lists and dictionaries change in place, integers and strings don’t. += behaves differently depending on the type — with lists it usually modifies the same object, but with strings it creates a completely new object. Most “tricky” interview questions are really about mutation vs reassignment. Shallow copy and deep copy make sense once you think in terms of references instead of values. Many Python surprises aren’t magic — they come from not understanding how references and objects work internally. Still learning, still fixing gaps, but this kind of clarity feels very different from just finishing tutorials. If you’re preparing for Python interviews, try predicting outputs instead of running code immediately. That exercise alone teaches a lot. #Python #LearningInPublic #BackendDevelopment #InterviewPreparation #

𝗣𝘆𝘁𝗵𝗼𝗻 𝗗𝗮𝗶𝗹𝘆 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 | 𝗛𝗮𝗰𝗸𝗲𝗿𝗥𝗮𝗻𝗸 – 𝗪𝗵𝗮𝘁’𝘀 𝗬𝗼𝘂𝗿 𝗡𝗮𝗺𝗲? | 𝗗𝗮𝘆 𝟭𝟱 This beginner Python problem reveals who understands functions. Day 15 of my Python Daily Challenge 🚀 Today’s task looked too easy: 👉 Read first name 👉 Read last name 👉 Print a greeting But interviews test more than output 👇 • Do you understand𝗳𝘂𝗻𝗰𝘁𝗶𝗼𝗻 𝗽𝗮𝗿𝗮𝗺𝗲𝘁𝗲𝗿𝘀? • Do you know when to return vs print? • Can you format strings cleanly and confidently? 💡 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗽𝗮𝘁𝘁𝗲𝗿𝗻 𝗳𝗿𝗼𝗺 𝗗𝗮𝘆 𝟭𝟱: Clean code isn’t about complexity. It’s about𝗰𝗹𝗲𝗮𝗿 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 in functions. That’s why I’m revisiting Python fundamentals daily — because small concepts decide big outcomes. Have you ever confused print() and return() before? 👇 #Python #HackerRank #DailyCoding #ProblemSolving #InterviewPrep #LearnInPublic #Consistency

Hello Python folks Quick brain-teaser for you: What does this print — and why? t = ([1, 2],) t[0] += [3] print(t) Did the tuple mutate? Or did Python just trick your mental model? Most people answer quickly. Very few explain it correctly. If you can explain this in terms of identity, mutation vs rebinding, you truly understand Python. Full breakdown here including👇 - Shallow Vs Deep Copy - Default Mutable Argument Trap https://lnkd.in/e_v6nNej #python #pythoninterview #softwaredevelopment

🐍 Python Tip: Multi-Line Strings Made Easy Did you know Python lets you write text across multiple lines without using \n again and again? 💡 Just use triple quotes """ """ string = "my name is Danial" long_string = """ my name is danial am 24 years old how old are you """ s line brea print(long_string) ✅ Preserveks automatically ✅ Perfect for paragraphs and messages ✅ Useful for documentation (docstrings) ✅ Cleaner than using multiple \n 🎯 This is one of the many features that makes Python beginner-friendly and powerful at the same time. Clean code + Simple syntax = Python ❤️ #Python #Programming #Coding #LearnPython #Beginners #SoftwareDevelopment #AI

🚀 Day-103 of Python Problem-Solving! Problem: Given a list of numbers, we wanted to: 1️⃣ Find the smallest prime in the list. 2️⃣ Multiply only the even numbers by that prime. 3️⃣ Keep the odd numbers unchanged. This exercise is a simple yet powerful way to combine mathematical logic with Python list operations. It helps strengthen problem-solving skills that are often asked in interviews and coding challenges. #Day103 #100DaysOfCode #PythonProgramming #PythonTips #CodingChallenge #ProblemSolving #LearnPython #TechLearning #PythonDevelopment #DataStructures #PythonPractice #CodeEveryDay