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Python Intro - #2 - Tuples
# Welcome back for Jeff's second 5 minute intro to Python.
# This time we'll talk about the list's immutable cousin, the tuple.
from collections import namedtuple
def main():
# tuples can be considered as immutable lists. A lot of what
# I'm going to show you here can also be done with lists, but
# it seems to fit better here.
name = ("John", "Q", "Public")
# A common misconception is that parenthesis are what specify
# a tuple, but it's actually the comma. That's why a 1-tuple
# looks like this:
firstonly = ("John", )
assert len(firstonly) == 1 # even though it looks like it should be two
# You can assign a tuple to multiple variables
first, middle, last = name
print "{2}, {0} {1}.".format(first, middle, last)
# You can use the tuple in place of all three variables as well,
# though you have to put a * in there.
print "{2}, {0} {1}.".format( *name )
# because you can assign a tuple to multiple variables, and you don't
# need the parens to define a tuple, you end up with this well worn
# chestnut for swapping two variables
a, b = "first", "second"
a, b = b, a
print a, b
# or more interesting
a, b = 0, 1
for _ in xrange(20):
print a
a, b = b, a+b
print "Fibiotastic!"
# xrange(20) returns an iterator that runs 0..19. range(20) would
# actually return the list [0, 1, 2, ... , 18, 19], which is suboptimal
# for large numbers, so just get used to xrange(). Also, the _ here
# is just a dummy value, since we don't plan to use the iterated value.
#-----------
# Python's object model is ok, but a bit weak. You can do most of the
# typical things but, in particular if the object is just to store data,
# the language and libraries give you other options. Lists are one,
# and you'll often see people just storing data in a list and working
# with it as an array. But there's a nice solution with 'namedtuple'.
FullName = namedtuple( 'FullName', 'first, middle, last' )
name = FullName( "John", "Q", "Public" )
print name.first
print name.middle
print name.last
if __name__ == "__main__":
# this is a common idiom. By default python will just start
# at the top and run, but coming from a C background, you
# might be expecting a main() function. This checks to see
# if the program is being run stand-alone (__name__ == "__main__")
# and executes main(). If it were imported as a module in another
# application, then main() wouldn't run. This is useful for
# setting up unit tests, etc.
main()
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