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AI can write code — we teach you to read it, fix it, own it. One lesson, one challenge, every day for 30 days.

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Myths & Facts

  • All Myths & Facts
  • Will AI Replace Coders?
  • Do I Need a CS Degree?
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  • Is Python Worth It?
  • Can I Learn in 30 Days?

Python For

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© 2026 zuzu.codes
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What's Shipped

Everything we've shipped, newest first.

April 2026

Referral program

Feature

Share your handle link. Referred friends get a discount, you get credit. Tracked via cookie with a 30-day window.

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PWA — installable on mobile

Feature

Add zuzu to your home screen for a full-screen app experience with offline support for visited lessons.

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Completion certificates

Feature

Finish a track, earn a certificate. Sharable link, your name, track title, and completion date.

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Week in Review quiz summaries

Feature

Each module quiz opens with a narrative recap of the week before the questions start. Context before testing.

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Streak shield

Feature

Protect your streak for up to 14 days when life gets in the way. Activates once, clears automatically when you next submit.

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Deep-dive essays

Feature

After the dialogue, every lesson has a prose deep-dive for learners who want the full picture. Switch with one click.

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Pre & post track self-assessment

Feature

Likert surveys before and after each track help you see how your confidence actually shifted over 30 days.

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Push notifications

Feature

Opt-in daily reminders so you never miss a day. Delivered via Web Push — no app install required.

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Intermediate Python

Track

OOP, error handling, decorators, generators, and comprehensions. Write Python that works in production, not just in tutorials.

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Python Essentials

Track

Tuples, sets, *args, lambda, match statements, and modules. Fills the gaps between beginner scripts and professional Python.

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Advanced Python

Track

Concurrency, async/await, metaclasses, descriptors, and the type system. The internals every senior Python developer knows.

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Python Fundamentals

Track

30-day track covering variables, functions, loops, file I/O, and building your first automation scripts.

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Pythonic Python

Track

Write idiomatic Python. EAFP, walrus operator, PEP 8, profiling with cProfile, debugging with pdb, and code review patterns senior devs respect.

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Python Standard Library

Track

Master json, csv, regex, datetime, pathlib, argparse, logging, and collections. Build a CLI log analyzer using only what Python ships with.

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