How much does zuzu.codes cost?

The starter track is free — read all lessons and practice for free. Full access to every track (current and future) is $14.99/month. Cancel anytime.

How long does each track take?

Each track is designed as a 30-day challenge — one lesson per day, about 15 minutes each. Go at your own pace, but the structure is built around daily consistency.

What's the lesson format?

Each lesson is a student-teacher dialogue with code examples, followed by a hands-on code challenge in an in-browser editor. You read, you understand, then you write real code.

Do I need prior coding experience?

Our beginner track starts from absolute zero — no prior experience needed. Advanced tracks build on earlier ones, and the platform tells you exactly where to start.

How is zuzu.codes different from freeCodeCamp or Codecademy?

zuzu.codes uses a structured 30-day track format with dialogue-based teaching, an in-browser code editor, and gamification (XP, streaks, progress tracking). The format builds genuine understanding through daily practice.

Week 1: Taming Raw Text Data — Python For Makers

Day 2 · ~11 min●

You finished the explorers track with comprehensions and sorted-plus-lambda as your main tools. This week those give way to text. A log line is just a string, but inside that string is every field you care about.

Is regex the replacement for comprehensions then? They felt like the main leverage tool last track.

Think of regex as your new comprehension for text. Where a comprehension says "give me all items matching this rule," regex says "give me all substrings matching this pattern." Both are pattern-matching tools. This week splits regex across three lessons so each idea gets room to breathe — search on Day 5, extract on Day 6, replace on Day 7.

So I don't need to memorize a giant regex syntax upfront?

No. You'll learn one function per day: re.search for "does this appear?", re.findall for "give me every match," and re.sub for "replace each match." By Friday you can parse a log line, pull every IP out of free-form text, and mask sensitive fields — all with three small tools.

This week

Day 3 — parse a log line with split() and maxsplit
Day 4 — filter a list of lines with a comprehension
Day 5 — search for a pattern with re.search
Day 6 — extract every match with re.findall
Day 7 — replace every match with re.sub

Goal: by Friday you can turn raw text into structured, filterable, redactable data.

Week 1

7 lessons this week

Day 2 · ~11 min●

Is regex the replacement for comprehensions then? They felt like the main leverage tool last track.

So I don't need to memorize a giant regex syntax upfront?

This week

Day 3 — parse a log line with split() and maxsplit
Day 4 — filter a list of lines with a comprehension
Day 5 — search for a pattern with re.search
Day 6 — extract every match with re.findall
Day 7 — replace every match with re.sub

Goal: by Friday you can turn raw text into structured, filterable, redactable data.

This week

Day 3 — parse a log line with split() and maxsplit

Day 4 — filter a list of lines with a comprehension

Day 5 — search for a pattern with re.search

Day 6 — extract every match with re.findall

Day 7 — replace every match with re.sub

Goal: by Friday you can turn raw text into structured, filterable, redactable data.

This week

Day 3 — parse a log line with split() and maxsplit

Day 4 — filter a list of lines with a comprehension

Day 5 — search for a pattern with re.search

Day 6 — extract every match with re.findall

Day 7 — replace every match with re.sub

Goal: by Friday you can turn raw text into structured, filterable, redactable data.