pandas library, python 3.9, using the following format : dictionary_comprehension = {NEW_KEY: NEW_VALUE for (INDEX, ROW) in DATA.iterrows()} list_comprehension = [NEW_ITEM for ITEM in LIST]

Dictionary & List Comprehension (pandas).py

# pandas library, 
# python 3.9,  
# using the following format :    
# dictionary_comprehension = {NEW_KEY: NEW_VALUE for (INDEX, ROW) in DATA.iterrows()}   
# list_comprehension = [NEW_ITEM for ITEM in LIST]

import pandas

new_dict = {
    'letter': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 
                'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 
                'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z'],
    'code': ['Alex', 'Bill', 'Charlie', 'Dale',
             'Edward', 'Frank', 'Glynn', 'Harry',
             'Ivan', 'Jack', 'Kevin', 'Larry',
             'Mike', 'Nate', 'Oscar', 'Paul',
             'Quinn', 'Ralph','Steve', 'Tim',
             'Ulises', 'Victor', 'Walt', 'Xavier',
             'Yusuf', 'Zachary'
             ],
}
df = pandas.DataFrame(new_dict)
names = {row.letter: row.code for (index, row) in df.iterrows()}
new_word = "JACK"
result = [names[letter] for letter in new_word]
print(result)

#  RETURNS: ['Jack', 'Alex', 'Charlie', 'Kevin']