A python list of all US state abbreviations.

us_state_abbreviations.py

states = [ 'AK', 'AL', 'AR', 'AZ', 'CA', 'CO', 'CT', 'DC', 'DE', 'FL', 'GA',
           'HI', 'IA', 'ID', 'IL', 'IN', 'KS', 'KY', 'LA', 'MA', 'MD', 'ME',
           'MI', 'MN', 'MO', 'MS', 'MT', 'NC', 'ND', 'NE', 'NH', 'NJ', 'NM',
           'NV', 'NY', 'OH', 'OK', 'OR', 'PA', 'RI', 'SC', 'SD', 'TN', 'TX',
           'UT', 'VA', 'VT', 'WA', 'WI', 'WV', 'WY']

states = {
    'AK': 'Alaska',
    'AL': 'Alabama',
    'AR': 'Arkansas',
    'AZ': 'Arizona',
    'CA': 'California',
    'CO': 'Colorado',
    'CT': 'Connecticut',
    'DC': 'District of Columbia',
    'DE': 'Delaware',
    'FL': 'Florida',
    'GA': 'Georgia',
    'HI': 'Hawaii',
    'IA': 'Iowa',
    'ID': 'Idaho',
    'IL': 'Illinois',
    'IN': 'Indiana',
    'KS': 'Kansas',
    'KY': 'Kentucky',
    'LA': 'Louisiana',
    'MA': 'Massachusetts',
    'MD': 'Maryland',
    'ME': 'Maine',
    'MI': 'Michigan',
    'MN': 'Minnesota',
    'MO': 'Missouri',
    'MS': 'Mississippi',
    'MT': 'Montana',
    'NC': 'North Carolina',
    'ND': 'North Dakota',
    'NE': 'Nebraska',
    'NH': 'New Hampshire',
    'NJ': 'New Jersey',
    'NM': 'New Mexico',
    'NV': 'Nevada',
    'NY': 'New York',
    'OH': 'Ohio',
    'OK': 'Oklahoma',
    'OR': 'Oregon',
    'PA': 'Pennsylvania',
    'RI': 'Rhode Island',
    'SC': 'South Carolina',
    'SD': 'South Dakota',
    'TN': 'Tennessee',
    'TX': 'Texas',
    'UT': 'Utah',
    'VA': 'Virginia',
    'VT': 'Vermont',
    'WA': 'Washington',
    'WI': 'Wisconsin',
    'WV': 'West Virginia',
    'WY': 'Wyoming'
}

Small convenience great morale boost

states = (
('AK', 'Alaska'),
('AL', 'Alabama'),
('AR', 'Arkansas'),
('AZ', 'Arizona'),
('CA', 'California'),
('CO', 'Colorado'),
('CT', 'Connecticut'),
('DC', 'District of Columbia'),
('DE', 'Delaware'),
('FL', 'Florida'),
('GA', 'Georgia'),
('HI', 'Hawaii'),
('IA', 'Iowa'),
('ID', 'Idaho'),
('IL', 'Illinois'),
('IN', 'Indiana'),
('KS', 'Kansas'),
('KY', 'Kentucky'),
('LA', 'Louisiana'),
('MA', 'Massachusetts'),
('MD', 'Maryland'),
('ME', 'Maine'),
('MI', 'Michigan'),
('MN', 'Minnesota'),
('MO', 'Missouri'),
('MS', 'Mississippi'),
('MT', 'Montana'),
('NC', 'North Carolina'),
('ND', 'North Dakota'),
('NE', 'Nebraska'),
('NH', 'New Hampshire'),
('NJ', 'New Jersey'),
('NM', 'New Mexico'),
('NV', 'Nevada'),
('NY', 'New York'),
('OH', 'Ohio'),
('OK', 'Oklahoma'),
('OR', 'Oregon'),
('PA', 'Pennsylvania'),
('RI', 'Rhode Island'),
('SC', 'South Carolina'),
('SD', 'South Dakota'),
('TN', 'Tennessee'),
('TX', 'Texas'),
('UT', 'Utah'),
('VA', 'Virginia'),
('VT', 'Vermont'),
('WA', 'Washington'),
('WI', 'Wisconsin'),
('WV', 'West Virginia'),
('WY', 'Wyoming')
)

So useful!

Thank you! Big time saver!

Thank you very much! What a thoughtful thing for you to provide. Much appreciated.

Thank you!

Thanks.

beautiful thank you!!!