Data structure creation

Defines an immutable ordered collection of values.

When you need to group related values that should not change, e.g., coordinates, RGB colors, returning multiple values from a function.

General Python code, any script or library; common in function returns, configuration constants.

(element1, element2, element3)

(..., ..., ...)

element1: any, element2: any, element3: any

• tuple unpacking
• dict keys
• function returns

• list literal [1
• 2
• 3] for mutable sequences
• collections.namedtuple for structured data

Attempting to modify tuple elements; forgetting trailing comma for singleton tuple; confusing with list syntax

list literal [1, 2, 3] (mutable, ordered); set literal {1, 2, 3} (unordered, unique); frozenset (immutable set)

Coming from JavaScript: may overuse tuples where arrays are expected → use lists for mutable sequences; Coming from C: may confuse tuple with struct → tuples are immutable and accessed by index, while structs have named fields.

• tuple unpacking
• tuple slicing
• tuple methods

When NOT to use this: when mutability is needed; Performance implications: tuples have lower memory overhead than lists; Non-obvious boundary conditions: singleton tuple requires a trailing comma (x,), empty tuple is ().

Provides lightweight immutable grouping; enables use as dict keys and set members.

Imagine a carton of eggs: fixed number, ordered, cannot change.

None.

Use collections.namedtuple or dataclasses for structured records with field names.