---
title: "O(1) Explained"
url: https://daily.dev/posts/o-1-explained-whmr4rvir
source_url: https://www.youtube.com/watch?v=WD4YipRZV9Q
type: video:youtube
source: "ThePrimeTime"
published: 2026-05-12T13:30:01.950Z
updated: 2026-05-12T13:30:17.555Z
tags: ["javascript", "data-structures"]
reading_time: 1
upvotes: 1
comments: 0
language: en
---

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# O(1) Explained

**[ThePrimeTime](https://daily.dev/sources/primeagen)** · 1 min read · 1 upvotes · 0 comments

## Summary

A beginner-friendly explanation of Big O notation, focusing on O(1) constant time complexity. Covers common complexity classes (O(n), O(log n), O(n²)) and clarifies that constant time does not mean instantaneous. Uses a practical JavaScript example showing that linear array search can sometimes outperform hash map lookups for small datasets.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=WD4YipRZV9Q>

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---

Tags: [#javascript](https://daily.dev/tags/javascript), [#data-structures](https://daily.dev/tags/data-structures)

[View this post on daily.dev](https://daily.dev/posts/o-1-explained-whmr4rvir)