Created
December 12, 2013 22:54
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Some example python data structures
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print 'Storing data using Lists!' | |
# Notice there are three lists | |
names = ['Bob', 'Phil', 'Dave'] | |
addresses = ['123 Happy Ln.', '456 Mtn. Rd.', '1000 Century Dr.'] | |
phones = ['111-111-1111', '222-222-2222', '333-333-3333'] | |
# To access data about a person, you reference the same index in all three lists | |
print '{0} {1} {2}'.format(names[0], addresses[0], phones[0]) | |
######################################################### | |
print 'Storing data using Tuples!' | |
people = [] | |
# With a tuple, each person's information is grouped together as one tuple object in the list | |
# The benefit here is that everything is in one list. | |
people.append(('Bob', '123 Happy Ln', '111-111-1111')) | |
people.append(('Phil', '456 Mtn. Rd.', '222-222-2222')) | |
people.append(('Dave', '1000 Century Dr.', '333-333-3333')) | |
# To reference information, the first index represents which person tuple, the second represents which field in the tuple | |
print people[0][0] | |
print people[0][1] | |
print people[0][2] | |
########################################################## | |
print 'Storing data using Dictionaries!' | |
people = [] | |
# Lastly, with dicts each item in the list is a object made up of key/value pairs | |
# The index is a string representing the key which returns the value for that field | |
# The benefit here is that you can access the information by name instead of numerical index | |
people.append({'name':'Bob', 'address': '123 Happy Ln', 'phone':'111-111-1111'}) | |
people.append({'name':'Phil', 'address':'456 Mtn. Rd.', 'phone':'222-222-2222'}) | |
people.append({'name':'Dave', 'address': '1000 Century Dr.', 'phone': '333-333-3333'}) | |
print guy[0]['name'] |
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