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Start your free trialKirome Thompson
5,350 PointsHelp to write a function covers that returns a list of courses from a dict of courses?
Let's write some functions to explore set math a bit more. We're going to be using this COURSES dict in all of the examples. Don't change it, though! So, first, write a function named covers that accepts a single parameter, a set of topics. Have the function return a list of courses from COURSES where the supplied set and the course's value (also a set) overlap. For example, covers({"Python"}) would return ["Python Basics"].
COURSES = {
"Python Basics": {"Python", "functions", "variables",
"booleans", "integers", "floats",
"arrays", "strings", "exceptions",
"conditions", "input", "loops"},
"Java Basics": {"Java", "strings", "variables",
"input", "exceptions", "integers",
"booleans", "loops"},
"PHP Basics": {"PHP", "variables", "conditions",
"integers", "floats", "strings",
"booleans", "HTML"},
"Ruby Basics": {"Ruby", "strings", "floats",
"integers", "conditions",
"functions", "input"}
}
def covers(topics):
course_list = []
for key in COURSES.keys():
if topics == COURSES.values():
course_list.extend(key)
return course_list
2 Answers
Jeff Muday
Treehouse Moderator 28,722 PointsYou seem to be on the right track. Though you cannot really use the COURSES.values() in an equivalence '==' expression. We will want to, instead, use the "in" operator. This will allow us to see if the topic from the required_topics is contained in one of the key/value pairs of courses.
Note there is no single "right way" to do this challenge, but many different right ways to pass the challenge.
I find it is difficult to do this type of challenge without breaking down the COURSES into its component key/value pairs in a loop. You should get into the habit of using the pattern below:
# this method gets all our key/value pairs into key and value variables from "my_dictionary"
for key, value in my_dictionary.items():
print(key, value)
Finally, lets incorporate this idea into our function...
def covers(required_topics):
matched_courses = set() # the set of our matched courses
# make sure we check every topic in the required_topics list
for topic in required_topics:
# here is where we break down the course/topics key/value pairs from COURSES
for course, topics in COURSES.items():
# if the topic is in the course topics, add it to the set
if topic in topics:
matched_courses.add(course)
return list(matched_courses)
Good luck with Python. It is one of the best languages to learn!
mhjp
20,372 Points2 things of note for this challenge.
-
The idea is to use Set Math to come up with the solution. i.e from the teachers notes
| or .union(*others) - all of the items from all of the sets. & or .intersection(*others) - all of the common items between all of the sets. - or .difference(*others) - all of the items in the first set that are not in the other sets. ^ or .symmetric_difference(other) - all of the items that are not shared by the two sets.
course_list.extend() will iterate over the string and add each letter to the list i.e. course_list.extend() will output something like ['P', 'y', 't', 'h', 'o', 'n', ' ', 'B', 'a', 's', 'i', 'c', 's'] instead use course_list.append().
def covers(topic):
course_list = []
for key in COURSES.keys():
if COURSES[key] & topic:
course_list.append(key)
return course_list