map()-and-lambda-functions.py

'''
Map() and lambda functions
100xp

So far, you've used lambda functions to write short, simple functions as well
as to redefine functions with simple functionality. The best use case for lambda
functions, however, are for when you want these simple functionalities to be
anonymously embedded within larger expressions. What that means is that the
functionality is not stored in the environment, unlike a function defined with def.
To understand this idea better, you will use a lambda function in the context of
the map() function.

Recall from the video that map() applies a function over an object, such as a list.
Here, you can use lambda functions to define the function that map() will use to
process the object. For example:

nums = [2, 4, 6, 8, 10]

result = map(lambda a: a ** 2, nums)

You can see here that a lambda function, which raises a value a to the power of 2,
is passed to map() alongside a list of numbers, nums. The map object that results
from the call to map() is stored in result. You will now practice the use of lambda
functions with map(). For this exercise, you will map the functionality of the add_bangs()
function you defined in previous exercises over a list of strings.

Instructions
-In the map() call, pass a lambda function that concatenates the string '!!!' to a string
item; also pass the list of strings, spells. Assign the resulting map object to shout_spells.
-Convert shout_spells to a list and print out the list.
'''
# Create a list of strings: spells
spells = ["protego", "accio", "expecto patronum", "legilimens"]

# Use map() to apply a lambda function over spells: shout_spells
shout_spells = map(lambda a: a +'!!!', spells)

# Convert shout_spells to a list: shout_spells_list
shout_spells_list = list(shout_spells)

# Convert shout_spells into a list and print it
print(shout_spells_list)