kamyu104/leetcode-solutions

★ 5,511C++Audience · developerComplexity · 1/5LicenseSetup · easy

Mindmap

mindmap
  root((LeetCode Solutions))
    Coverage
      3928 problems
      Python and C++
      Weekly updates
    Categories
      Dynamic programming
      Graphs and trees
      Binary search
    Per-entry data
      Complexity analysis
      Difficulty rating
      Algorithm tags
    Use Cases
      Interview prep
      Algorithm study
      Complexity review

mindmap root((LeetCode Solutions)) Coverage 3928 problems Python and C++ Weekly updates Categories Dynamic programming Graphs and trees Binary search Per-entry data Complexity analysis Difficulty rating Algorithm tags Use Cases Interview prep Algorithm study Complexity review

Click or tap to explore — scroll the page freely

Things people build with this

USE CASE 1

Study an optimized solution with time and space complexity analysis for any LeetCode problem.

USE CASE 2

Compare Python and C++ approaches side by side to understand language trade-offs for the same algorithm.

USE CASE 3

Review problems by category to practice a specific topic like trees, dynamic programming, or binary search.

USE CASE 4

Find all problems tagged with a specific algorithm pattern to build depth before a technical interview.

Tech stack

PythonC++SQL

Getting it running

Difficulty · easy Time to first run · 5min

No setup needed, browse the README table or clone and open individual solution files directly.

Use freely for any purpose, including commercial use, as long as you keep the copyright notice.

In plain English

LeetCode is a website where programmers practice coding problems that are commonly used in technical job interviews at software companies. Problems range from easy to hard and test knowledge of algorithms and data structures, which are fundamental concepts in computer science for solving problems efficiently. This repository contains Python and modern C++ solutions to all 3,928 problems currently on LeetCode, updated weekly as new problems are added. The author maintains it as a reference for developers preparing for technical interviews at companies where solving these kinds of problems under time pressure is a standard part of the hiring process. Each entry lists the problem, links to solution files for both Python and C++, the time complexity and space complexity of the approach (measures of how fast the solution runs and how much memory it uses), the difficulty rating (Easy, Medium, or Hard), and any relevant tags. Problems are grouped into more than 25 algorithm and data structure categories, including arrays, strings, trees, graphs, dynamic programming, binary search, backtracking, and more. There are also sections for SQL, JavaScript, and Pandas problems, which cover different skill areas tested in interviews. The author notes this is a replacement for an earlier repository that accumulated over 5,700 stars. The progress badge in the README shows all 3,928 current problems have solutions. The repository is MIT-licensed and is one of several the same author maintains across different competitive programming platforms, including GoogleCodeJam and MetaHackerCup. The full README is longer than what was shown.

Copy-paste prompts

Prompt 1

Show me the optimal Python solution for the two-sum LeetCode problem and explain its time and space complexity.

Prompt 2

Find all hard LeetCode problems in the dynamic programming category in this repository and explain the key patterns.

Prompt 3

Help me understand the C++ solution for a graph traversal problem in this repository and convert it to Python.

Prompt 4

Given that I struggle with binary search problems, suggest 5 problems from this repository to practice in order of difficulty.

Open on GitHub → Explain another repo

← kamyu104 on gitmyhub — every repo by this author, as a profile.

Verify against the repo before relying on details.