Arrays use contiguous memory seats. Deep dive into O(1) Access formula, CPU Cache Locality, Buffer Overflow security risks, and Dynamic Array resizing logic.
Fast by name. Partitioning around a Pivot. Why is it the standard library choice despite O(N²) worst case?
Tired of naming classes? Writing CSS directly inside HTML sounds ugly, but it became the world standard. Why?
Establishing TCP connection is expensive. Reuse it for multiple requests.
A comprehensive deep dive into client-side storage. From Cookies to IndexedDB and the Cache API. We explore security best practices for JWT storage (XSS vs CSRF), performance implications of synchronous APIs, and how to build offline-first applications using Service Workers.
| Feature | Rating | Reason |
|---|---|---|
| Access | ⭐⭐⭐⭐⭐ | O(1). Instant Math. |
| Search | ⭐⭐⭐ | O(N) linear scan (unless sorted, then O(log N)). |
| Insert | ⭐ | O(N). Requires shifting everyone. |
| Delete | ⭐ | O(N). Requires shifting back. |
| Cache | ⭐⭐⭐⭐⭐ | CPU Loves it. Spatial Locality. |
| Memory | ⭐⭐⭐⭐ | Minimal overhead (no pointers), but fixed size waste. |
When to use:
When NOT to use:
"In the end, hardware loves Arrays. If you want speed, satisfy the hardware."
