A string parameter and returns new string with all the letters of the alphabet that are not in the argument string. The letters in the returned string should be in alphabetical order. The implementation should uses a histogram from the histogram function
Explanation:
The below code is written in python :
alphabet = "abcdefghijklmnopqrstuvwxyz"
test_dups = ["zzz","dog","bookkeeper","subdermatoglyphic","subdermatoglyphics"]
test_miss = ["zzz","subdermatoglyphic","the quick brown fox jumps over the lazy dog"]
def histogram(s):
d = dict()
for c in s:
if c not in d:
d[c] = 1
else:
d[c] += 1
return d
def has_duplicates(s):
for v in histogram(s).values():
if v > 1:
return True
return False
def test_dups_loop():
for s in test_dups:
print(s + ':', has_duplicates(s))
def missing_letters(s):
r = list('abcdefghijklmnopqrstuvwxyz')
s = s.lower()
for c in s.lower():
if c in r:
r.remove(c) # the first matching instance
return ''.join(r)
def test_miss_loop():
for s in test_miss:
print(s + ':', missing_letters(s))
def main():
test_dups_loop()
test_miss_loop()
if __name__ == '__main__':
main()
Answer:
C. Dow Jones
Explanation:
It’s the Dow Jones certainly, and we also know it as Dow 30. You will find with a little research that Dow Jones is an index of the 30 carefully chosen blue-chip stocks, and general industrial stocks. And this is price prejudiced average, and of 30 stocks that can be well-thought-out as an all-purpose measure for the whole stock market performance.
Answer:
In Python 3, strings are automatically encoded using Unicode.
Explanation:
i just tookthe test
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Answer:
A pre-programmed function is a section of code which is reusable to perform certain routine. One benefit of using a pre-programmed function to analyze data is the code redundancy can be reduced. The function is only written for once and it can be called to perform a specific data analysis whenever it is needed.
Besides, a pre-programmed function also offer consistent analytical output as all data are processed by a same analytical procedure in the function.