# AlgoCode Learn

> Master Algorithms in Python

Canonical page: [https://chrome-stats.com/d/id6751961718](https://chrome-stats.com/d/id6751961718)

## Overview

- **ID:** `id6751961718`
- **Platform:** Apple
- **Type:** Apple app
- **Status:** Available
- **Publisher:** Roman Kurnovskii
- **Category:** Education
- **Rating:** 3.40 / 5 (7 ratings)
- **Version:** 2.0.17
- **Last updated:** 2026-04-22
- **First published:** 2025-09-23
- **Size:** 89 MB
- **Data as of:** 2026-09-08
- **Store listing:** [Apple App Store](https://apps.apple.com/us/app/algocode-learn/id6751961718)
- **Website:** [http://leetcode-learn.web.app](http://leetcode-learn.web.app/)
- **Privacy policy:** [https://leetcode-learn.web.app/privacy-policy.html](https://leetcode-learn.web.app/privacy-policy.html)

## Description

Ace technical interviews and campus placements. Master algorithms with visual guides and 100% offline access.

Ace Your Technical Interviews & Coding Rounds. Anywhere. Offline.

Preparing for campus placements or technical interviews? AlgoCode Learn is your pocket companion for mastering Data Structures and Algorithms (DSA). Whether you are targeting FAANG or preparing for mass recruiter coding rounds, we help you build intuition fast.

Why 50,000+ Developers Trust Us:

1. Localized for Learning Now fully available in English, Hindi (हिंदी), and Russian. Learn complex logic in the language you think in. Perfect for students preparing for Indian IT placements.

2.  The "Algorithm Speed Run" Game Cracking the coding interview isn't just about code—it's about speed.

Test your knowledge of Time Complexity (Big O) in our 30-second rapid-fire mode.
Perfect for preparing for MCQ rounds in competitive exams.
Gamified stats to track your streaks.
3.  100% Offline Mode No internet? No problem.

Access hundreds of solutions (Python, Java, C++) without using your data plan.
Study logic flows on the bus, train, or subway.
Zero lag, instant loading.
4.  Visual & Interactive Stop memorizing code. Understand the pattern.

Step-by-step visualizations for Linked Lists, Trees, and Graphs.
"Whiteboard style" explanations that break down the why, not just the how.
Covered Topics:

Arrays, Linked Lists, Sliding Window
Trees (Binary, BST, AVL), Graphs (BFS, DFS)
Dynamic Programming (DP), Recursion
System Design Basics
Download AlgoCode Learn now and turn your commute into a study session.

## Rankings

- #448,708 — Overall
- #10 — leetcode

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Source: [Chrome-Stats](https://chrome-stats.com/d/id6751961718)