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November 10, 2016 17:55
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Comparing lists, tuples and maps
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# a crude program to show examples of a tuple | |
# and relate to lists and strings | |
# a tuple is similar to a list, but uses parentheses | |
fibs = (0, 1, 1, 2, 3) | |
print(fibs[3]) | |
# Above, we define the variable fibs as the numbers 0, 1, 1, 2, and 3. | |
# Just like a list, we print the item in the index position 3 in the tuple. | |
# The main difference between a tuple and a list is that you cannot | |
# change the tuple once you've created it. | |
# For example, if we try to replace an index position value in the tuple, | |
# we get an error message. | |
# fibs[0] = 4 | |
# If we cannot change a tuple once we've created it, | |
# Why would we use a tuple instead of a list? | |
# I'm glad you asked, | |
# primarily, it's because sometimes it is useful to use something | |
# that you know can never change. | |
# If you create a tuple with two elements inside, it will | |
# always have those two elements. | |
# We can see the importance if we call on particular specifications (a tuple created in another program) of something in a program | |
# we are currently working in. In this way, tuples are more efficient than using a list. -we'll dive into that later. | |
# Python Maps Won't Help You Find Your Way -adapted from Jason Briggs Python for Kids | |
# In Python, a MAP (also referred to as a dict (or dictionary) | |
# is a collection of things, like lists and tuples. | |
# The difference between maps, tuples, and lists: | |
# each item in a map has a KEY and a corresponding VALUE. | |
# For example, say we have a list of company brands and what those brands make: | |
things_brands_make = ['IKEA, furniture', 'Ralph Lauren, clothing', 'General Motors, cars', 'Deer Park, bottled water', 'BIC, writing tools'] | |
# Above, we put the information into a Python list, with the brand followed | |
# by what stuff that brand makes. | |
# If you were asked what things the brand, BIC makes, you can scan the list and find | |
# the answer to be writing tools. | |
# But, what if the list included 200 (or more) brands? | |
# -That would take up a lot more time! | |
# So, if we store the information in a map, with the brand's name as the key | |
# and what they make as the value, | |
# The Python code would look like this: | |
things_brands_make = {'IKEA' : 'furniture', 'Ralph Lauren' : 'clothing', 'General Motors' : 'cars', 'Deer Park' : 'bottled water', 'BIC' : 'writing tools'} | |
# We use colons to separate each key from its value, and each key and value is sectioned of wih single quotes. | |
# Notice too, the items in the map are enclosed by braces ({}), | |
# not parentheses, like a tuple, and not brackets like a list. | |
# The result of a map (each key maps to a particular value), can visualized as a table: | |
# | Brand Name | Value | | |
# ______________ _____________ | |
# | IKEA | furniture | | |
# | Ralph Lauren | clothing | | |
# | General Motors | cars | | |
# | Deer Park | bottled water | | |
# | Bic | writing tools | | |
# Now, to get the type of things the brand, BIC makes, | |
# we access our map "things_brands_make" using the brand's name as the key, | |
# like this: | |
print(things_brands_make['BIC']) | |
# Python gives the answer, writing tools. | |
# To delete a value in the map, use its key. | |
# For example, I'll remove Deer Park: | |
del things_brands_make['Deer Park'] | |
print(things_brands_make) | |
# Now, the key, Deer Park and its value, bottled water is not part of the map | |
# To replace a value in a map, we also use its key: | |
things_brands_make['Ralph Lauren'] = 'shoes' | |
print(things_brands_make) | |
# In other words, we replaced the thing that a brand makes with shoes | |
# by using the key Ralph Lauren. |
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