Python HackerRank Daily Challenge: Find Runner-Up Score

𝗣𝘆𝘁𝗵𝗼𝗻 𝗗𝗮𝗶𝗹𝘆 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 | 𝗛𝗮𝗰𝗸𝗲𝗿𝗥𝗮𝗻𝗸 – 𝗡𝗲𝘀𝘁𝗲𝗱 𝗟𝗶𝘀𝘁𝘀 | 𝗗𝗮𝘆 𝟭𝟬 This Python problem exposes weak data-handling instantly. Day 10 of my Python Daily Challenge 🚀 Today’s task wasn’t about lists. It was about thinking in layers. 👉 Store names + scores 👉 Find the second lowest score 👉 Print names in alphabetical order Where most people slip 👇 • Forgetting duplicate scores exist • Mixing sorting logic with filtering • Ignoring output order requirements 💡 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗽𝗮𝘁𝘁𝗲𝗿𝗻 𝗳𝗿𝗼𝗺 𝗗𝗮𝘆 𝟭𝟬: Before writing code, separate the steps: collect → filter → sort → print Clear steps = clean solutions. That’s why I’m focusing on Python patterns, not shortcuts — one problem a day, stronger logic every time. Which part confuses you more — filtering or sorting? 👇 #Python #HackerRank #DailyCoding #ProblemSolving #InterviewPrep #LearnInPublic #Consistency

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

𝗣𝘆𝘁𝗵𝗼𝗻 𝗗𝗮𝗶𝗹𝘆 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 | 𝗛𝗮𝗰𝗸𝗲𝗿𝗥𝗮𝗻𝗸 – 𝗙𝗶𝗻𝗱 𝗮 𝗦𝘁𝗿𝗶𝗻𝗴 | 𝗗𝗮𝘆 𝟭𝟳 This Python question looks easy—and that’s why people fail it. Day 17 of my Python Daily Challenge 🚀 Today’s task sounded straightforward: 👉 Given a string 👉 Find how many times a substring appears Most people instantly think of .count() 😅 But interviews care about how you think 👇 • Overlapping substrings matter • Traversing left to right matters • Logic > shortcuts 💡 Interview pattern from Day 17: If you rely only on built-ins, you miss what the question is actually testing. Understanding 𝘀𝘁𝗿𝗶𝗻𝗴 𝘁𝗿𝗮𝘃𝗲𝗿𝘀𝗮𝗹 beats memorizing methods. Did you think of .count() first? Be honest 👇 #Python #HackerRank #DailyCoding #ProblemSolving #InterviewPrep #LearnInPublic #Consistency

Here’s a clean, engaging Instagram description that perfectly matches this image and your 60 Days Python Series – Day 4 👌🐍 🔥 Day 4/60 – Python Series Today’s challenge: Remove vowels from a given string using Python 💻 This task helps you understand: ✔️ String traversal ✔️ Conditional logic ✔️ Clean function-based thinking Small programs like this build strong fundamentals that matter in interviews and real projects 🚀 📌 Save this post for revision 📌 Share with Python beginners 📌 Follow for the complete 60 Days Python Series 💬 Comment “day4” if you’re learning along 👇 #python #60dayspython #day4 #pythonprogramming #stringmanipulation #codinglogic #learnpython #beginnerscoding #programmingreels #techlearning

𝗣𝘆𝘁𝗵𝗼𝗻 𝗗𝗮𝗶𝗹𝘆 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 | 𝗛𝗮𝗰𝗸𝗲𝗿𝗥𝗮𝗻𝗸 – 𝗦𝘁𝗿𝗶𝗻𝗴 𝗦𝗽𝗹𝗶𝘁 & 𝗝𝗼𝗶𝗻 | 𝗗𝗮𝘆 𝟭𝟰 This Python string task looks trivial—until interviews ask why. Day 14 of my Python Daily Challenge 🚀 Today’s challenge was all about strings: 👉 Split a sentence 👉 Modify the format 👉 Join it back cleanly Sounds easy… until you realize 👇 • split() returns a list, not a string • join() works only on 𝗶𝘁𝗲𝗿𝗮𝗯𝗹𝗲𝘀 𝗼𝗳 𝘀𝘁𝗿𝗶𝗻𝗴𝘀 • Order and delimiter matter more than people think 💡 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗽𝗮𝘁𝘁𝗲𝗿𝗻 𝗳𝗿𝗼𝗺 𝗗𝗮𝘆 𝟭𝟰: Many bugs come from 𝘁𝘆𝗽𝗲 𝗰𝗼𝗻𝗳𝘂𝘀𝗶𝗼𝗻, not complex logic. If you understand how data changes form, string problems become simple. Have you ever mixed up split() and join() in an interview? 👇 #Python #HackerRank #DailyCoding #ProblemSolving #InterviewPrep #LearnInPublic #Consistency

: 𝗣𝘆𝘁𝗵𝗼𝗻 𝗗𝗮𝗶𝗹𝘆 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 | 𝗛𝗮𝗰𝗸𝗲𝗿𝗥𝗮𝗻𝗸 – 𝗠𝗲𝗿𝗴𝗲 𝘁𝗵𝗲 𝗧𝗼𝗼𝗹𝘀 | 𝗗𝗮𝘆 𝟮𝟮 This Python string problem tests more than just loops. Day 22 of my Python Daily Challenge 🚀 𝗧𝗼𝗱𝗮𝘆’𝘀 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 𝗳𝗲𝗹𝘁 𝗹𝗮𝘆𝗲𝗿𝗲𝗱: 👉 Split a string into fixed-size chunks 👉 Remove duplicate characters 👉 Preserve original order Sounds simple… until you code it 😅 𝗧𝗵𝗲 𝗿𝗲𝗮𝗹 𝗶𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗶𝗻𝘀𝗶𝗴𝗵𝘁 👇 • String slicing is your best friend • Removing duplicates ≠ using set() blindly • Order preservation matters a lot 💡 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗽𝗮𝘁𝘁𝗲𝗿𝗻 𝗳𝗿𝗼𝗺 𝗗𝗮𝘆 𝟮𝟮: Clean solutions respect data order. Optimized solutions respect constraints. That’s why I’m practicing Python patterns daily — thinking before coding. Did you accidentally break order using set() here? 👇 #Python #HackerRank #DailyCoding #ProblemSolving #InterviewPrep #LearnInPublic #Consistency

𝗣𝘆𝘁𝗵𝗼𝗻 𝗗𝗮𝗶𝗹𝘆 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 | 𝗛𝗮𝗰𝗸𝗲𝗿𝗥𝗮𝗻𝗸 – 𝗧𝗲𝘅𝘁 𝗪𝗿𝗮𝗽 | 𝗗𝗮𝘆 𝟮𝟬 This Python module can save you 10 lines of code. Day 20 of my Python Daily Challenge 🚀 Today’s task was about formatting long strings: 👉 Break text into fixed-width lines 👉 Keep everything readable 👉 Avoid manual slicing 𝗧𝗵𝗲 𝗸𝗲𝘆 𝗶𝗻𝘀𝗶𝗴𝗵𝘁 👇 • Python’s textwrap module exists for a reason • Built-ins often replace messy loops • Interviews reward knowing when to use libraries 💡 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗽𝗮𝘁𝘁𝗲𝗿𝗻 𝗳𝗿𝗼𝗺 𝗗𝗮𝘆 𝟮𝟬: Clean code isn’t always clever code. Sometimes it’s just knowing the right tool. That’s why I’m exploring Python beyond basics — one standard library at a time. Did you know about textwrap before today? 👇 #Python #HackerRank #DailyCoding #ProblemSolving #InterviewPrep #LearnInPublic #Consistency

𝗣𝘆𝘁𝗵𝗼𝗻 𝗗𝗮𝗶𝗹𝘆 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 | 𝗛𝗮𝗰𝗸𝗲𝗿𝗥𝗮𝗻𝗸 – 𝗰𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻𝘀.𝗖𝗼𝘂𝗻𝘁𝗲𝗿() | 𝗗𝗮𝘆 𝟮𝟯 This Python tool replaces an entire frequency loop. Day 23 of my Python Daily Challenge 🚀 𝗧𝗼𝗱𝗮𝘆’𝘀 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 𝗳𝗲𝗹𝘁 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗮𝗹: 👉 Track shoe sizes 👉 Handle multiple customers 👉 Calculate total earnings 𝘠𝘰𝘶 𝘤𝘰𝘶𝘭𝘥 𝘴𝘰𝘭𝘷𝘦 𝘵𝘩𝘪𝘴 𝘸𝘪𝘵𝘩 𝘭𝘰𝘰𝘱𝘴 𝘢𝘯𝘥 𝘥𝘪𝘤𝘵𝘪𝘰𝘯𝘢𝘳𝘪𝘦𝘴… or you could think like Python 👇 𝗧𝗵𝗲 𝗿𝗲𝗮𝗹 𝗶𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗹𝗲𝘀𝘀𝗼𝗻: • Counter handles frequency cleanly • Updates reflect real-world inventory logic • Less code ≠ less clarity 💡 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗽𝗮𝘁𝘁𝗲𝗿𝗻 𝗳𝗿𝗼𝗺 𝗗𝗮𝘆 𝟮𝟯: Strong candidates know when to stop reinventing logic and start using the right data structure. That’s how clean, scalable solutions are written. Have you used Counter in real problems before? 👇 #Python #HackerRank #DailyCoding #ProblemSolving #InterviewPrep #LearnInPublic #Consistency

𝗣𝘆𝘁𝗵𝗼𝗻 𝗗𝗮𝗶𝗹𝘆 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 | 𝗛𝗮𝗰𝗸𝗲𝗿𝗥𝗮𝗻𝗸 – 𝗦𝘁𝗿𝗶𝗻𝗴 𝗠𝘂𝘁𝗮𝘁𝗶𝗼𝗻𝘀 | 𝗗𝗮𝘆 𝟭𝟲 This Python error exposes who really understands strings. Day 16 of my Python Daily Challenge 🚀 Today’s problem looked confusing at first: 👉 Access a string index 👉 Try to change it 👉 Python throws an error 😅 That’s when the real lesson hit 👇 • Strings in Python are 𝗶𝗺𝗺𝘂𝘁𝗮𝗯𝗹𝗲 • You don’t modify — you rebuild • Slicing + concatenation = clean solution 💡 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗽𝗮𝘁𝘁𝗲𝗿𝗻 𝗳𝗿𝗼𝗺 𝗗𝗮𝘆 𝟭𝟲: Many Python bugs come from forgetting which data types can and can’t change. Understand 𝗺𝘂𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆, and half your errors disappear. Have you ever tried to modify a string directly? Be honest 👇 #Python #HackerRank #DailyCoding #ProblemSolving #InterviewPrep #LearnInPublic #Consistency

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