reduce()-and-lambda-functions.py

'''
Reduce() and lambda functions
100xp

You're getting very good at using lambda functions! Here's one more function
to add to your repertoire of skills. The reduce() function is useful for 
performing some computation on a list and, unlike map() and filter(), returns
a single value as a result. To use reduce(), you must import it from the
functools module.

Remember gibberish() from a few exercises back?

# Define gibberish
def gibberish(*args):
    """Concatenate strings in *args together."""
    hodgepodge = ''
    for word in args:
        hodgepodge += word
    return hodgepodge

gibberish() simply takes a list of strings as an argument and returns, as a single-value
result, the concatenation of all of these strings. In this exercise, you will replicate
this functionality by using reduce() and a lambda function that concatenates strings together.

Instructions
-Import the reduce function from the functools module.
-In the reduce() call, pass a lambda function that takes two string arguments item1 and
item2 and concatenates them; also pass the list of strings, stark. Assign the result to
result. The first argument to reduce() should be the lambda function and the second argument
is the list stark.
'''
# Import reduce from functools
from functools import reduce

# Create a list of strings: stark
stark = ['robb', 'sansa', 'arya', 'eddard', 'jon']

# Use reduce() to apply a lambda function over stark: result
result = reduce(lambda item1, item2: item1 + item2, stark)

# Print the result
print(result)