Q: Try rewriting the code below as a map. It takes a list of real names and replaces them with code names produced using a more robust strategy.
In [6]:
names = ["Aalok", "Chandu", "Roshan", "Prashant", "Saurabh"]
for i in range(len(names)):
names[i] = hash(names[i])
print(names)
Ans:
In [7]:
secret_names = map(hash, names)
print(secret_names)
generate_matrix which takes two arguments m and n and a keyword argument default which specifies the value for each position. It should use a nested list comprehension to generate a list of lists with the given dimensions. If default is provided, each position should have the given value, otherwise the matrix should be populated with zeroes.
initcap that replicates the functionality of the string.title method, except better. Given a string, it should split the string on whitespace, capitalize each element of the resulting list and join them back into a string. Your implementation should use a list comprehension.
make_mapping that takes two lists of equal length and returns a dictionary that maps the values in the first list to the values in the second. The function should also take an optional keyword argument called exclude, which expects a list. Values in the list passed as exclude should be omitted as keys in the resulting dictionary.
compress_keys that takes a dictionary with string keys and returns a new dictionary with the vowels removed from the keys. For instance, the dictionary {"foo": 1, "bar": 2} should be transformed into {"f": 1, "br": 2}. The function should use a list comprehension nested inside a dict comprehension.
toUpper that takes a list of names and returns a set of with the case normalized to uppercase. For instance, the list ["mayank", "JohrI", "Tagore", "Arjun"] should be transformed into the set {"MAYANK", "JOHRI", "TAGORE", "ARJUN"}.