Data Structures and algorithms for beginners. Ace your coding interview. Watch this tutorial to learn all about Big O, arrays and linked lists! 🚀 Get interview-ready with my full course: 👍 Subscribe for more awesome content: Need Java foundations first? Check out my tutorial: ✋ Stay connected: - Twitter: - Facebook: - Instagram: - LinkedIn: 💡 What you'll learn: - Big O notation for analyzing code efficiency. - How to implement and use arrays. - The basics of linked lists. 👉 This tutorial is perfect for you if: - You're preparing for technical job interviews. - You want to improve your coding fundamentals. - You're a CS student learning these concepts. Let's get started! 📖 TABLE OF CONTENT 0:00:00 Intro 0:01:04 What is Big O? 0:03:03 O(1) 0:04:32 O(n) 0:08:17 O(n^2) 0:10:41 O(log n) 0:13:20 O(2^n) 0:14:10 Space Complexity 0:17:53 Understanding Arrays 0:21:03 Working with Arrays 0:24:32 Exercise: Building an Array 0:27:24 Solution: Creating the Array Class 0:30:43 Solution: insert() 0:35:03 Solution: remove() 0:39:54 Solution: indexOf() 0:42:23 Dynamic Arrays 0:46:11 Linked Lists Introduction 0:46:41 What are Linked Lists? 0:51:16 Working with Linked Lists 0:54:40 Exercise: Building a Linked List 0:56:05 Solution: addLast() 1:02:15 Solution: addFirst() 1:04:28 Solution: indexOf() 1:06:23 Solution: contains() 1:07:28 Solution: removeFirst() 1:11:52 Solution: removeLast() #ComputerScience #Coding #Programming