Guides for learners, engineering posts from the team, and honest writing about what actually makes people stick with coding.
It's not about talent. It's not about difficulty. The research is clear: most people quit because they feel stuck and alone, not because Python is hard. We looked at the data and built our entire product around this one problem.
Week one feels great. Week two is where most people quit. Week three is where it starts to click. Week four is when you realise you can actually build things. Here's an honest, week-by-week account of what to expect.
Behind every message you send Py, five signals are being scored in real time: keyword tone, response length, repeated questions, all-caps usage, and question mark frequency. Here's exactly how it works.
A lot of people finish their first Python path and then freeze. They feel like they don't know enough to build real things yet. They're wrong. Here are eight projects you can build right now — and why starting messy is the whole point.
Core Track or Specialisation? Data Science, Automation, Web Dev, or Algorithms? This guide walks through every path — what's inside, who it's for, and the one mistake most people make when deciding where to start.
You don't need more motivation. You don't need a perfect schedule. What you need is a system that survives the week your project deadline moves, your kid gets sick, and you miss three days in a row. Here's what that looks like.
Video courses have completion rates below 10%. One-on-one tutors work but most people can't afford them. What happens when you combine the personalisation of a private tutor with the scale of software? The answer is messier than you'd expect.
Everyone says 'Python is popular' like that's an argument. It's not. Here's the actual case for Python as a first language — the syntax argument, the feedback loop argument, the career argument, and the honest list of its real downsides.
Our first attempt was simple: just pass the last 20 messages as context. It was slow, expensive, and the AI kept getting confused by stale details. Here's what we built instead, and the five things we now extract from every session.
No jargon. No 'you need a maths background'. No pretending it's easier than it is. Just a straight answer to every question a real beginner has — what Python is, what you can build, how long it takes, and what to do on day one.