43 sets in python

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Sets are lists with no duplicate entries. Let's say you want to collect a list of words used in a paragraph:
Sets are a powerful tool in Python since they have the ability to calculate differences and intersections between other sets. For example, say you have a list of participants in events A and B:
a = set(["Jake", "John", "Eric"])

print(a)

b = set(["John", "Jill"])

print(b)
To find out which members attended both events, you may use the "intersection" method:
a = set(["Jake", "John", "Eric"])

b = set(["John", "Jill"])


print(a.intersection(b))

print(b.intersection(a))
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To find out which members attended only one of the events, use the "symmetric_difference" method:
a = set(["Jake", "John", "Eric"])

b = set(["John", "Jill"])


print(a.symmetric_difference(b))

print(b.symmetric_difference(a))
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To find out which members attended only one event and not the other, use the "difference" method:
a = set(["Jake", "John", "Eric"])

b = set(["John", "Jill"])


print(a.difference(b))

print(b.difference(a))
--------------To receive a list of all participants, use the "union" method:
a = set(["Jake", "John", "Eric"])

b = set(["John", "Jill"])


print(a.union(b))
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In the exercise below, use the given lists to print out a set containing all the participants from event A which did not attend event B.
a = ["Jake", "John", "Eric"]

b = ["John", "Jill"]


A = set(a)

B = set(b)


print(A.difference(B))














print(set("my name is Eric and Eric is my name".split()))