Pytor and PyQuest
Two ways to learn Python and AI engineering, sharing one tutor and one repo.
📱 Download PyQuest for Android
Open that link on your Android phone, then open the downloaded file and allow
installs from your browser when Android asks. Needs Android 8.0 or newer. The link
always points at the newest build. Older builds: all releases.
No Android phone? Open in the browser: pytor.mwmai.no.
No install, no account.
| What it is | Where |
|---|
| Pytor | The site. Real Python typed in a browser, run in the browser, graded instantly. | pytor.mwmai.no |
| PyQuest | The app. An Android game you tap through on a phone, no typing. | pyquest/ · download APK |
Pytor is also the name of the snake who tutors you in both. On the site he is a
beginner's guide; in the app he is an expert. Same character, different register.
What it does
- Teaches Python from variables to FastAPI and API calling with 450 graded exercises
that run in your browser, with nothing to install.
- Opens every topic with a plain-English lesson, with analogies and runnable examples.
- Gives you Pytor, a snake tutor you can ask for hints, answers and generated lessons.
- Lets you play 654 questions in 10 tiers on an Android phone, tapping instead of
typing, from
print("hello") to scoping an AI-engineering consultancy job.
- Drills for the AI-901 and AI-103 exams, on the site and in the app.
How it works
The site is static HTML and vanilla JavaScript with hash routing. Python runs in your
browser through Pyodide (CPython on WebAssembly) with a CodeMirror editor, and progress
sits in LocalStorage, so no server does the work and no account is needed. The
exercises are written as Python in pylearn/ and build.py turns them into the
browser-runnable docs/exercises.json. Pytor's chat goes through a small stdlib-only
Python bridge that asks a Groq-hosted model first and falls back to a local Ollama
model. PyQuest is a Kotlin and Jetpack Compose app driven by question data in JSON
files, with no Python interpreter inside; GitHub Actions builds its APK.
Pytor, the site
450 exercises. Zero setup. Runs in your browser. No account, no install, no server
doing the work: Python itself is compiled to WebAssembly and executes on your machine.
The nine topics
| # | Topic | Exercises | What you learn |
|---|
| 1 | Variables | 50 | Storing data, naming, assignment, f-strings, scope |
| 2 | Data Types | 50 | int, float, str, bool, conversion, string methods |
| 3 | Conditionals | 50 | if/elif/else, boolean logic, ternary, match/case |
| 4 | Loops | 50 | for, while, range, break/continue, nesting, enumerate |
| 5 | Functions | 50 | def, arguments, return, *args/**kwargs, closures, decorators |
| 6 | Lists & Sets | 50 | Indexing, slicing, comprehensions, sorting, set operations |
| 7 | Dictionaries | 50 | Key-value pairs, nesting, comprehensions, Counter, grouping |
| 8 | FastAPI | 50 | Pydantic models, validation, CRUD APIs, auth, middleware |
| 9 | API Calling | 50 | JSON, HTTP headers, auth, pagination, rate limiting, webhooks |
Each topic opens with a lesson in plain English, with analogies, runnable examples and
the mistakes people actually make, then 50 exercises that climb from Beginner to
Challenge.
The rest of the site
| Route | What it is |
|---|
#/playground | A full browser Python IDE. No exercise, no grading, just run code |
#/path | The AI Engineer Path: a study route through the topics, each paired with a video worth watching, plus the AI-901 to AI-103 certification track |
#/checklist | A 100-item AI engineering skills checklist you tick off as you go |
#/exam | A 117-question AI-901 drill in real exam format |
#/exam/103 | A 222-question AI-103 drill for the Azure AI Apps and Agents Developer exam: Foundry deployments, agents, retrieval and AI Search, vision, speech, document extraction and content safety, with case studies and matching and ordering items |
#/questions | 30 questions on embeddings and retrieval, the part of AI engineering that is hardest to learn from a tutorial |
/blocks/ | Python Block Bench: 84 drag-and-drop syntax puzzles, no keyboard needed, with a line-by-line step-through that shows every variable change |
ELI5 mode
On by default. Variables are labelled jars, functions are recipes, lists are shopping
lists, dictionaries are phone books, APIs are restaurant waiters. Toggle it off in the
top-right when the analogies stop helping.
Pytor, the tutor in the corner
Click the snake (or the 🐍 Pytor button) to open a chat sidebar:
- Ask anything about Python. He answers Socratically, steering you to the answer
rather than handing it over.
- Get a hint on the exercise you are stuck on. He reads the code you have actually
written and points at the next thing to try.
- Generate a lesson on any topic. Type "decorators" or "asyncio" and he builds an
interactive lesson on the spot.
Under the hood: a Groq-hosted model first, a local Ollama model as the fallback, behind a
small stdlib-only Python bridge at pytor.mwmai.no/api/tutor. The model names can be
overridden through environment variables (GROQ_MODEL, OLLAMA_MODEL) because hosted
model catalogues change. The frontend is vanilla JS and degrades to a no-op if the bridge
is unreachable, so the exercises never depend on the tutor being up.
This is the beginning of the README. Read the rest at the original. Read the full README ↗
