Review key concepts of Python tuples with structured questions. Practice tuple syntax, immutability, indexing, and usage to strengthen your understanding of this core data type.
Tuples are ordered, immutable sequences that can contain elements of different types. They are created with parentheses or just commas, and support operations like indexing and slicing.
["Creation: `my_tuple = (1, 'a', 3.14)` or `my_tuple = 1, 'a', 3.14`", "Single element: `single = (1,)` (note the comma)"]
Tuple slicing uses the same syntax as list slicing: `tuple[start:stop:step]`. It returns a new tuple containing elements from start (inclusive) to stop (exclusive), with an optional step value.
["Basic slice: `(1, 2, 3, 4)[1:3]` → `(2, 3)`", "With step: `(1, 2, 3, 4, 5)[::2]` → `(1, 3, 5)`"]
Tuples have two main methods: 1. `count(x)` - returns the number of times x appears in the tuple 2. `index(x)` - returns the first index where x appears They also support all common sequence operations.
["Count: `(1, 2, 2, 3).count(2)` → `2`", "Index: `('a', 'b', 'c').index('b')` → `1`"]
Tuples are preferred when: 1. You need an immutable sequence 2. You want to use the sequence as a dictionary key 3. Slightly better performance for iteration 4. When the sequence has fixed meaning (like coordinates)
["Dictionary key: `locations = {(1, 2): 'New York', (3, 4): 'London'}`", "Fixed data: `color_rgb = (255, 0, 0)` for red"]
Tuples support concatenation with `+` and repetition with `*` operators, similar to strings and lists. Both operations return new tuples.
["Concatenation: `(1, 2) + (3, 4)` → `(1, 2, 3, 4)`", "Repetition: `('a', 'b') * 3` → `('a', 'b', 'a', 'b', 'a', 'b')`"]
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