🔗 Linked Lists Explained Like You're 5
Building AI systems and writing about how they actually work. Master of AI @ University of Technology Sydney. Previously B.Tech CS with focus on IoT. I believe the best way to learn is to explain. That's why I'm documenting tech concepts with simple analogies (@sreekarreddy.com). AWS Certified • Azure AI Certified • Neo4j Professional • Google Data Analytics When not coding: exploring Sydney, working on side projects, and teaching tech to anyone who'll listen.
Treasure hunt clues pointing to next
Day 35 of 149
👉 Full deep-dive with code examples
The Treasure Hunt
Each clue tells you where the next clue is:
Clue 1: "Go to the park" →
Clue 2: "Look under the bench" →
Clue 3: "Check the fountain" →
Treasure! 🎁
Each clue POINTS to the next one!
Linked lists work the same way!
Arrays vs Linked Lists
Array: Line of lockers next to each other
[A][B][C][D][E]
Want to insert between B and C? You often end up moving a bunch of items!
Linked List: Each item points to the next
A → B → C → D → E → null
Insert between B and C? Just change pointers!
The Trade-off
| Operation | Array | Linked List |
| Access by index | Fast! | Slower (you often walk through) |
| Insert/delete | Slow (shift elements) | Fast! |
When to Use
- Lots of insertions/deletions? → Linked list
- Random access by index? → Array
In One Sentence
Linked lists store data in nodes where each node points to the next, making insertions easy but direct access slow.
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