Unified SME path — All topics are listed together (no beginner/intermediate split). Each explanation is tuned for practical mastery: plain analogy, crisp definition, runnable-style example, production trade-offs, common interview probes, and a 60-second how-to-say-it summary — so you can sound like a strong senior IC in product-company loops.
📚 Python Basics — All topics
Click any row — the tutor explains with layman-friendly analogies, code you can adapt, 2–3 real-world industry examples per topic, production angles, and how interviewers follow up.
🧠 SME tips
- Implement from scratch first, then reach for libraries.
- Tie every concept to a business or production problem.
- Practice explaining to a non-technical stakeholder in one minute.
- Use system thinking: data → model → eval → deploy → monitor.
📐 Question categories (tests & eval)
concept
code
algorithms
ml
nlp
llm
system design
transformer
agent
stakeholder
leadership
strategy
research
alignment
frontier ai
🤖 AI Tutor — Python Basics
Listen: This device (defaults to Google UK English female in Chrome) or Piper (US English neural, no API key).
Hi — I’m your tutor for Python Basics. Pick any topic on the left for a full breakdown (analogy → concept → code → 2–3 real-world examples from different industries → production → “how to say this in an interview”), or type a question below.
Follow-up chat
After you open a topic, ask for a deeper dive, a bug hunt, or interview phrasing. Replies appear here.