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pyanalytics-quiz

AI-powered Python Data Analytics coach with live code execution — built with Claude AI + Pyodide
Open repo on GitHubgithub.com/vishalrshukla/pyanalytics-quiz
HTML · ★ 1 · 0 forks · MIT · paperwork by the Cap'mmostly ai (inferred)light human (inferred)works-on-my-machine (inferred)ml
listed 1 hour ago by vishalrshukla · last checked 1 hour ago
The owner didn't write this. This repo never submitted itself. The Cap'm found it on a truffle trawl and wrote its paperwork from what GitHub already shows. Picked by hand by the Cap'm on 2026-09-15: AI-powered Python Data Analytics coach with live code execution — built with Claude AI + Pyodide; its own README says "AI-powered Python Data Analytics coach with live code execution — built with Claude AI + Pyodide". 1 stars; MIT license. The owner did not submit this. Votes count; awards don't until the owner claims it.

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GitHub says
AI-powered Python Data Analytics coach with live code execution — built with Claude AI + Pyodide
topics
ai-poweredclaude-aidata-analyticsinterview-preparationmachine-learningno-buildnumpypandaspyodidepythonscikit-learnwebassembly
created
2026-06-22 · pushed 2 months ago · 4 commits · 1 contributor
languages
HTML 100%
paperwork
licensereadme 42% health
dependencies
no dependency graph (no manifest, or disabled) · OSV.dev, checked 1 hour ago

Disclosures, inferred by the Cap'm

slopbucket
vibe-coded
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ml
ai_generated
mostly
human_touch
light
status
works-on-my-machine
language (detected)
html
topic (detected)
ai-poweredclaude-aidata-analyticsinterview-preparationmachine-learningno-buildnumpypandaspyodidepythonscikit-learnwebassembly
license (detected)
mit

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The Cap'm wrote this paperwork, not the owner. This repo never submitted itself to SlopScore. The Cap'm picked it by hand: AI-powered Python Data Analytics coach with live code execution — built with Claude AI + Pyodide; its own README says "AI-powered Python Data Analytics coach with live code execution — built with Claude AI + Pyodide". It carries the MIT license. The disclosures above are his best guess from what GitHub shows.

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README — the repo's own words, folded up so the grading fits on one screen

🐍 PyAnalytics — AI Interview Coach

Practice Python Data Analytics interviews with AI-generated questions, instant evaluation, and live in-browser code execution.

Made with Claude AI Python License No Build


✨ Features

  • 🤖 Claude AI generates unique questions every session — no static question bank
  • 📊 10 Analytics Topics — NumPy, Pandas, GroupBy, Matplotlib, Scikit-learn, Time-series & more
  • 🎯 4 Difficulty Levels — Easy → Medium → Hard → Expert (auto-advances on strong performance)
  • ▶️ Live Python Execution — run code directly in the browser via Pyodide (no server needed)
  • 📝 AI Evaluation — scores your answer 0–100% with specific feedback and improvement tips
  • 📈 Session Dashboard — score history, average, correct/partial/review breakdown
  • 📱 Mobile-first UI — works on any modern browser, no install required

🚀 Live Demo

👉 yourusername.github.io/pyanalytics-quiz


🛠️ Tech Stack

Layer Technology
AI Questions & Evaluation Anthropic Claude API (claude-sonnet-4-6)
Python Runtime Pyodide 0.25 (WebAssembly)
Frontend React 18 (via CDN, no build step)
Hosting GitHub Pages
Fonts Inter + Fira Code

📖 How to Use

  1. Visit the live demo link above
  2. Enter your Anthropic API key when prompted
  3. Choose a difficulty level and topic
  4. Answer the AI-generated question in your own words or with code
  5. Get instant AI feedback and a score
  6. Run the correct solution in the live Python editor
  7. Move to the next question — difficulty auto-increases as you improve!

🔐 Your API key is stored only in your browser's sessionStorage and is never sent anywhere except directly to api.anthropic.com.


🏗️ Deploy Your Own

This is a single index.html file — zero dependencies, zero build step.

# Clone
git clone https://github.com/yourusername/pyanalytics-quiz.git

# Open locally
open index.html    # macOS
start index.html   # Windows

Or deploy to GitHub Pages in 3 clicks: Settings → Pages → Branch: main / (root) → Save


📚 Topics Covered

# Topic
1 NumPy arrays & vectorisation
2 Pandas DataFrames & Series
3 Data cleaning & missing values
4 GroupBy, pivot & merge
5 Matplotlib & Seaborn visualisation
6 Statistical analysis & hypothesis testing
7 Feature engineering
8 Scikit-learn ML pipelines
9 Time-series analysis
10 Performance optimisation & big data

🙌 Built By

Vishal Shukla — VP, Data Analytics & Business Intelligence
LinkedIn · Tableau Public


📄 License

MIT — free to use, fork, and build upon.

Read the rest on GitHub

Scan report · 2026-09-15
  • Prohibited terms or links
  • Repository eligibility
  • slopscore.md paperwork
  • Content policy
  • Risk review — +10 owner has 0 followers

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