Before we write a single line of code together, I want to understand where you're starting. Not to judge — to calibrate. What brings you to this track?
I can write Python scripts. I've automated a few things. But when I try to build something bigger — a real log parser, a CLI tool — it falls apart halfway through.
That's the right starting point. You have the fundamentals — comprehensions, sorted, lambdas. What's missing is the vocabulary for production patterns. Regex, generators, sets, windowed analytics, argparse.
Will we actually build something shippable, or is this all toy examples?
Every lesson is a piece of a real log-analysis pipeline. By day 28 you'll have a working CLI tool that parses, filters, aggregates, and reports on server logs. Rate yourself honestly — the assessment adapts the experience.
This track assumes you already know Python fundamentals — variables, loops, functions, comprehensions, sorted with lambda. What you may not have yet is the vocabulary for the patterns that turn scripts into production tools.
Each lesson builds one function you test and ship. But all 28 functions compose: by the end, you'll chain them into a real CLI-style log analysis pipeline.
Rate yourself honestly. If you mark something confident and the lesson feels easy, you can skip the scaffolds. If you mark something shaky, the scaffolds will guide you through. The self-assessment has no right answers — only honest baselines.
Before we write a single line of code together, I want to understand where you're starting. Not to judge — to calibrate. What brings you to this track?
I can write Python scripts. I've automated a few things. But when I try to build something bigger — a real log parser, a CLI tool — it falls apart halfway through.
That's the right starting point. You have the fundamentals — comprehensions, sorted, lambdas. What's missing is the vocabulary for production patterns. Regex, generators, sets, windowed analytics, argparse.
Will we actually build something shippable, or is this all toy examples?
Every lesson is a piece of a real log-analysis pipeline. By day 28 you'll have a working CLI tool that parses, filters, aggregates, and reports on server logs. Rate yourself honestly — the assessment adapts the experience.
This track assumes you already know Python fundamentals — variables, loops, functions, comprehensions, sorted with lambda. What you may not have yet is the vocabulary for the patterns that turn scripts into production tools.
Each lesson builds one function you test and ship. But all 28 functions compose: by the end, you'll chain them into a real CLI-style log analysis pipeline.
Rate yourself honestly. If you mark something confident and the lesson feels easy, you can skip the scaffolds. If you mark something shaky, the scaffolds will guide you through. The self-assessment has no right answers — only honest baselines.
