whatisgithub

What is contests?

ujjwalkarn/contests — explained in plain English

Analysis updated 2026-07-18 · repo last pushed 2014-08-03

Audience · developerComplexity · 1/5DormantSetup · easy

In one sentence

A personal archive of competitive programming and data science contest solutions, useful as a learning and interview-prep reference rather than a tool to install.

Mindmap

mindmap
  root((repo))
    What it does
      Archive of solutions
      Coding challenges
      Kaggle competitions
    Sources
      LeetCode
      Codeforces
      HackerRank
      Kaggle
    Use cases
      Interview prep
      Learn techniques
      Compare approaches
    Audience
      Learners
      Interview candidates
      Data scientists

Code map

Detail Auto

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filefunction / class

What do people build with it?

USE CASE 1

Study how someone approached classic coding interview problems.

USE CASE 2

Compare your Kaggle competition approach against another solution.

USE CASE 3

Browse solutions by platform to prepare for algorithmic coding interviews.

How does it compare?

ujjwalkarn/contests0verflowme/alarm-clock0verflowme/seclists
LanguageCSS
Last pushed2014-08-032022-10-032020-05-03
MaintenanceDormantDormantDormant
Setup difficultyeasyeasyeasy
Complexity1/52/51/5
Audiencedevelopervibe coderops devops

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min

Reference material, not a runnable tool, README doesn't detail folder structure.

So what is it?

This is a collection of coding problem solutions created by someone working through competitive programming challenges and data science competitions. Think of it like a study notebook, but for solving algorithmic puzzles and machine learning contests. The repo acts as a personal archive of answers to problems from sites like LeetCode, Codeforces, HackerRank, and similar platforms where programmers practice their skills. It also includes solutions to Kaggle competitions, those are data science challenges where teams build predictive models. Each solution typically includes the code needed to solve a specific problem, organized by the platform or competition it came from. Someone would use this repo in a few ways. If you're learning to code and want to see how experienced programmers approach classic problems, you can browse through solutions to understand different techniques. If you're preparing for coding interviews, you could study the problems and see one approach to solving them. If you're curious about what kind of work goes into winning a Kaggle competition, you could examine those solutions too. It's essentially a showcase of problem-solving work rather than a tool you'd install and run yourself. The value here is mainly as a reference or learning resource. The README itself is quite minimal and doesn't explain the structure in detail, so you'd need to explore the folder organization to see how solutions are grouped, likely by platform or difficulty level. It's the kind of repo that's useful if you're on a similar learning journey and want to compare notes with someone else tackling the same problems.

Copy-paste prompts

Prompt 1
Show me how this repo organizes solutions by platform or difficulty.
Prompt 2
Walk me through the approach used in one of the Kaggle competition solutions here.
Prompt 3
Help me find solutions to problems similar to ones I'm struggling with for interview prep.
Prompt 4
Explain the algorithm used in one of the competitive programming solutions in this repo.

Frequently asked questions

What is contests?

A personal archive of competitive programming and data science contest solutions, useful as a learning and interview-prep reference rather than a tool to install.

Is contests actively maintained?

Dormant — no commits in 2+ years (last push 2014-08-03).

How hard is contests to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is contests for?

Mainly developer.

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