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Think Python, 3rd Edition
book

Think Python, 3rd Edition

by Allen B. Downey
May 2024
Beginner to intermediate
328 pages
6h 1m
English
O'Reilly Media, Inc.
Content preview from Think Python, 3rd Edition

Chapter 11. Tuples

This chapter introduces one more built-in type, the tuple, and then shows how lists, dictionaries, and tuples work together. It also presents tuple assignment and a useful feature for functions with variable-length argument lists: the packing and unpacking operators.

In the exercises, we’ll use tuples, along with lists and dictionaries, to solve more word puzzles and implement efficient algorithms.

One note: there are two ways to pronounce “tuple.” Some people say “tuh-ple,” which rhymes with “supple.” But in the context of programming, most people say “too-ple,” which rhymes with “quadruple.”

Tuples Are Like Lists

A tuple is a sequence of values. The values can be any type, and they are indexed by integers, so tuples are a lot like lists. The important difference is that tuples are immutable.

To create a tuple, you can write a comma-separated list of values:

t = 'l', 'u', 'p', 'i', 'n'
type(t)
       
tuple
       

Although it is not necessary, it is common to enclose tuples in parentheses:

t = ('l', 'u', 'p', 'i', 'n')
type(t)
       
tuple
       

To create a tuple with a single element, you have to include a final comma:

t1 = 'p',
type(t1)
       
tuple
       

A single value in parentheses is not a tuple:

t2 = ('p')
type(t2)
       
str
       

Another way to create a tuple is the built-in function tuple. With no argument, it creates an empty tuple:

t = tuple()
t
       
()
       

If the argument is a sequence (string, list, or tuple), the result is a tuple with the elements of the sequence:

t = tuple('lupin' ...
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Publisher Resources

ISBN: 9781098155421Errata Page