minte9
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pag. 335-336
pag. 109-110


List Comprehension

 
""" We can write for loop more concisely using List Comprehension
"""

# Input string
S = "abcd"

# Loop (easier to debug)
R = []
for s in S:
    if s in ['a', 'b', 'c']:
        R.append(s.capitalize())
print(R)

# List comprehension (concise)
R = [s.capitalize() for s in S if s in ['a', 'b', 'c']]
print(R)

"""
    ['A', 'B', 'C']
    ['A', 'B', 'C']
"""

Set Comprehension

 
""" Set comprehension uses curly braches instead of square brackets
"""

# Input list
S = ['a', 'as', 'bat', 'car', 'rac', 'dove', 'python']

# List comprehension (square brackets)
L = [len(x) for x in S]
print(L)

# Set comprehension (curly braches, unique items)
U = {len(x) for x in S}
print(U)

"""
    [1, 2, 3, 3, 3, 4, 6]
    {1, 2, 3, 4, 6}
"""

Dictionary Comprehension

 
""" A Dictionary is a data type that stores data in key/value pair
"""

# Input dictionary
prices = {'milk': 1.02, 'coffee': 2.5, 'bread': 2.5}

# Dictionary comprehension
procent = 0.5
prices_new = {k: v*procent for (k, v) in prices.items() }
print(prices_new)

"""
    {'milk': 0.51, 'coffee': 1.25, 'bread': 1.25}
"""



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