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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.

Day 22 · ~11 min●

Last quiz of the track. Ten questions on dicts, dict iteration, functions, return, split, and the synthesis pattern. 80% to pass.

Let's finish this.

When you pass: you have the complete kit of Python primitives. Variables, types, control flow, lists, dicts, functions, parsing. Whatever Python script you read from here on, you'll recognise the shape.

What week 3 covered

Lesson	Concept	Key syntax
15	Dictionaries	`{key: value}`; `dict[key]` lookup; `KeyError` on miss
16	Iterating dicts	`for k, v in dict.items():` — pair unpacking
17	Functions	`def name(params):` — define recipes
18	`return`	send a value back to the caller; not the same as `print`
19	`str.split()`	break a string into a list of parts
20	Synthesis	compose 5 primitives — accumulate-by-key pattern

What the full track covered

By passing this quiz, you've worked through every primitive a Python script needs:

Output: print
Storage: variables, ints, floats, strings, booleans
Decisions: if / elif / else, and / or / not
Collections: lists with indexing, dicts with key lookup
Repetition: for loops over lists, strings, dicts
Reuse: functions with parameters and return
Parsing: split to break strings into lists

Everything else is composition. Python Intermediate (deferred for v1, coming later) adds file I/O, exceptions, comprehensions, and the standard-library data formats. Automation Beginner (also coming) bridges Python to real APIs — Gmail, Sheets, Slack — using the same primitives you just learned.

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Day 22 · ~11 min●

Last quiz of the track. Ten questions on dicts, dict iteration, functions, return, split, and the synthesis pattern. 80% to pass.

Let's finish this.

What week 3 covered

Lesson	Concept	Key syntax
15	Dictionaries	`{key: value}`; `dict[key]` lookup; `KeyError` on miss
16	Iterating dicts	`for k, v in dict.items():` — pair unpacking
17	Functions	`def name(params):` — define recipes
18	`return`	send a value back to the caller; not the same as `print`
19	`str.split()`	break a string into a list of parts
20	Synthesis	compose 5 primitives — accumulate-by-key pattern

What the full track covered

By passing this quiz, you've worked through every primitive a Python script needs:

Output: print
Storage: variables, ints, floats, strings, booleans
Decisions: if / elif / else, and / or / not
Collections: lists with indexing, dicts with key lookup
Repetition: for loops over lists, strings, dicts
Reuse: functions with parameters and return
Parsing: split to break strings into lists

What week 3 covered

Lesson	Concept	Key syntax
15	Dictionaries	`{key: value}`; `dict[key]` lookup; `KeyError` on miss
16	Iterating dicts	`for k, v in dict.items():` — pair unpacking
17	Functions	`def name(params):` — define recipes
18	`return`	send a value back to the caller; not the same as `print`
19	`str.split()`	break a string into a list of parts
20	Synthesis	compose 5 primitives — accumulate-by-key pattern

What the full track covered

By passing this quiz, you've worked through every primitive a Python script needs:

Output: print

Storage: variables, ints, floats, strings, booleans

Decisions: if / elif / else, and / or / not

Collections: lists with indexing, dicts with key lookup

Repetition: for loops over lists, strings, dicts

Reuse: functions with parameters and return

Parsing: split to break strings into lists

What week 3 covered

Lesson	Concept	Key syntax
15	Dictionaries	`{key: value}`; `dict[key]` lookup; `KeyError` on miss
16	Iterating dicts	`for k, v in dict.items():` — pair unpacking
17	Functions	`def name(params):` — define recipes
18	`return`	send a value back to the caller; not the same as `print`
19	`str.split()`	break a string into a list of parts
20	Synthesis	compose 5 primitives — accumulate-by-key pattern

What the full track covered

By passing this quiz, you've worked through every primitive a Python script needs:

Output: print

Storage: variables, ints, floats, strings, booleans

Decisions: if / elif / else, and / or / not

Collections: lists with indexing, dicts with key lookup

Repetition: for loops over lists, strings, dicts

Reuse: functions with parameters and return

Parsing: split to break strings into lists