9. Runner Up: Hackerrank | Python Solution Explained
🏆 Ready to crack the "Runner Up" challenge on HackerRank? This problem might seem tricky at first, but I'll walk you through a clean, efficient Python solution that will make perfect sense by the end!
In this step-by-step tutorial, you'll master:
✅ How to find the second largest number in a list
✅ Efficient sorting strategies for competitive programming
✅ Clean Python code that passes all test cases
✅ Time and space complexity optimization techniques
✅ Common pitfalls to avoid in similar problems
✅ Best practices for HackerRank submissions
⏱️ CHAPTERS:
0:00 - Introduction & Challenge Overview
0:49 - Understanding The Problem
2:07 - Example Walkthrough
2:41 - Sorting Strategy Explained
3:51 - Coding The Solution
5:29 - Testing The Algorithm
5:37 - Implementing Final Solution
7:05 - Running & Submitting Code
🔗 PRACTICE THIS PROBLEM:
https://www.hackerrank.com/challenges...
📚 ADDITIONAL RESOURCES:
💻 More HackerRank Python solutions on my channel
🎯 Python fundamentals playlist for beginners
📖 Python sorting algorithms explained
💼 LinkedIn: / amircharkhi
📸 Instagram: / ai.tech.institute
🌐 Website: https://www.aitechinstitute.com.au
🎁 Support: / amircharkhi
💻 GitHub: https://github.com/wvlt
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#HackerRank #Python #CodingChallenge #Programming #Algorithm #DataStructures #CodingInterview
Sur cette page du site, vous pouvez voir la vidéo en ligne 9. Runner Up: Hackerrank | Python Solution Explained durée heure minute seconde en bonne qualité , qui a été Téléchargé par l'utilisateur Amir Charkhi, PhD 14 janvier 2023, Partagez le lien avec vos amis et connaissances, sur youtube cette vidéo a déjà été regardée 8,060 fois et il a aimé 178 téléspectateurs. Bon visionnage!
