Experiments with Python datastructures

datastructures.py

## Sample data
simplelist = [1, 2, 3, 4, 5]
listsample = ['Sam', 'Tyler', 'David', 'AJ']
people = [('Sam', 'Gammon'), ('Tyler', 'Porras'), ('David', 'Rekow'), ('Jackson', 'Harris')]
merchandise = {

	'tshirts': ('SurviveSac T-Shirt', {'price': 5.99, 'orders': 15, 'options': ['small', 'large', 'xlarge']}),
	'map': ('Field of Play Map', {'price': 3.0, 'orders': 28}),
	'tickets': ('Ticket to Play', {'price': 5.0, 'orders': 1428})

}

## Simple loops
for person in listsample:
	print person
	
## Sample map job
for line in map(lambda x: str(x[0])+': '+str(x[1]), enumerate(reversed(people[0:-1]))):
	print line

## Sample reduce job
print 'reduce: '+str(reduce(lambda x, y: x+y, simplelist))

## Sample tuple unpacking
for firstname, lastname in people:
	print 'f: ', firstname, '  l: ', lastname

## Sample dict unpacking
for merchandise_item_code, merchandise_item in merchandise.items():
	print '(item %s)' % merchandise_item_code
	merchandise_item_name, merchandise_item_details = merchandise_item
	
	print '---Name: '+merchandise_item_name
	for detail_name, detail_value in merchandise_item_details.items():
		print '---'+detail_name.capitalize()+': '+str(detail_value)