Programmer's Picnic · Python Foundations · 0 → ∞

Python Tuples: From 0 to Infinity

Make reliable fixed-size records and unpack them into readable code.

Free course · 45–65 minutes reading and practice · No installation beyond Python 3

Start at Level 0 ↓Try code in Python Editor ↗Collections overview

How to learn

Read one level, type the code into the editor, predict the output, then run it. Change one line and observe the result before proceeding. All code examples work with standard Python 3 (the dictionary union example requires 3.9 or newer).

The course moves from first principles to realistic code, common mistakes, performance and a mini-project.

Level 0 / 10

0 · Meet the tuple

A tuple is an ordered sequence whose positions cannot be reassigned. It can contain duplicate items and different types.

Python 3 · runnable example

person = ('Asha', 21, 'Varanasi')
print(person)
print(type(person).__name__)
print(person[0])

Expected output

('Asha', 21, 'Varanasi')
tuple
Asha

Remember: The comma, not just the parentheses, creates a tuple in most expressions.

Level 1 / 10

1 · Zero and one-element tuples

An empty tuple uses (). A one-element tuple needs a trailing comma. Parentheses alone group expressions.

Python 3 · runnable example

empty = ()
one = ('Python',)
not_a_tuple = ('Python')
print(type(one).__name__)
print(type(not_a_tuple).__name__)
print(len(empty))

Expected output

tuple
str
0

Remember: You can also write one = 'Python', but parentheses improve readability.

Level 2 / 10

2 · Index, slice and membership

Tuples follow the same indexing and slicing rules as lists and strings. Slicing creates a new tuple.

Python 3 · runnable example

colours = ('red', 'green', 'blue', 'green')
print(colours[-1])
print(colours[:2])
print(colours.count('green'))
print(colours.index('blue'))

Expected output

green
('red', 'green')
2
2

Remember: Use in before index() if the target may be missing.

Level 3 / 10

3 · Understand immutability

A tuple cannot be resized or assigned to by index. However, a mutable object inside a tuple can still change.

Python 3 · runnable example

record = ('Asha', ['Python'])
record[1].append('SQL')
print(record)
# record[0] = 'Ravi'  # TypeError

Expected output

('Asha', ['Python', 'SQL'])

Remember: Immutable container does not mean recursively immutable content.

Level 4 / 10

4 · Packing and unpacking

Put values together in a tuple (packing), then assign them to multiple names (unpacking). The number of destinations must match.

Python 3 · runnable example

point = (4, 9)
x, y = point
print(x, y)
a, b = (1, 2)
a, b = b, a
print(a, b)

Expected output

4 9
2 1

Remember: Use simple x, y = point; for swapping two values, write a, b = b, a.

Level 5 / 10

5 · Starred unpacking

Use one starred target to gather an arbitrary number of middle or trailing values into a list.

Python 3 · runnable example

first, *middle, last = (10, 20, 30, 40)
print(first)
print(middle)
print(last)

Expected output

10
[20, 30]
40

Remember: The starred target is always a list, even when unpacking a tuple.

Level 6 / 10

6 · Return multiple values

Returning comma-separated results from a function returns a tuple; callers can unpack it immediately.

Python 3 · runnable example

def minimum_and_maximum(values):
    return min(values), max(values)

low, high = minimum_and_maximum([6, 3, 8])
print(low, high)

Expected output

3 8

Remember: For empty input, guard before calling min() and max().

Level 7 / 10

7 · Tuple records and namedtuple

Use namedtuple for lightweight immutable records with named fields. For data plus behaviour, consider a class or dataclass.

Python 3 · runnable example

from collections import namedtuple
Student = namedtuple('Student', 'name marks')
s = Student('Meera', 92)
print(s.name)
print(s[1])

Expected output

Meera
92

Remember: Named tuples improve readability over unexplained numeric positions.

Level 8 / 10

8 · Hashability and dictionary keys

A tuple is hashable only when every element is hashable. Tuples of strings and numbers are common composite dictionary keys.

Python 3 · runnable example

sales = {('Varanasi', 2026): 150}
print(sales[('Varanasi', 2026)])
print(hash((1, 2)) == hash((1, 2)))

Expected output

150
True

Remember: A tuple containing a list cannot be a dictionary key because that tuple is unhashable.

Level 9 / 10

9 · Ordering, equality and choice

Tuples compare lexicographically: compare first differing items. Use a list when you need to add, remove or replace items, and a tuple for fixed records.

Python 3 · runnable example

a = (2, 'Asha')
b = (3, 'Meera')
print(a < b)
print((1, 2) == (1, 2))

Expected output

True
True

Remember: Only order tuples whose compared elements support ordering with one another.

Level 10 / 10

10 · Mini-project: map co-ordinates

Represent locations as immutable coordinate pairs and calculate a Manhattan-style grid distance.

Python 3 · runnable example

def grid_distance(a, b):
    ax, ay = a
    bx, by = b
    return abs(ax - bx) + abs(ay - by)

home = (2, 3)
school = (7, 5)
print(grid_distance(home, school))

Expected output

Remember: Extension: change the function to compute Euclidean distance using math.hypot().

Practice lab

Test your understanding

Predict or explain the answer before opening the solution. Try rewriting one of the examples without copying it.

1. How do you create a tuple with only the number 7?

Answer: (7,)

The comma matters.

2. Can a tuple containing a list be a dictionary key?

Answer: No, because the tuple is unhashable.

Every component needs to be hashable.

3. What type is rest in a, *rest = (1,2,3)?

Answer: list

Starred unpacking creates a list.

Take it further: expand the mini-project with an input() prompt, a reusable function, input validation and three tests (normal, empty and boundary cases).

When to use each Python collection

Comparison of Python built-in data types
Type	Ordered?	Mutable?	Duplicates?	Best for
str	Yes	No	Yes	Text
list	Yes	Yes	Yes	Changing sequences
tuple	Yes	No*	Yes	Fixed records
set	No guaranteed order	Yes	No	Unique membership
dict	Insertion order	Yes	Keys unique	Named lookups

* A tuple itself cannot be reassigned, but a mutable item stored inside it can still change.

Python official built-in types reference ↗

Programmer's Picnic · Developed and maintained by Champak Roy · Practice with real Python, one step at a time.