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A:

Approach 1: Open a CSV file and load it to a dictionary:
import csv
with open(‘Locations.csv’, ‘rb’) as csvfile:
data = dict(csv.reader(csvfile, delimiter=’,’))

Approach 2: Read a CSV file and use a dictionary comprehension:
import csv
with open(‘Locations.csv’, ‘rb’) as csvfile:
data = {row[0]: row[1:] for row in csv.reader(csvfile, delimiter=’,’)}

As for the output, you can use a for loop to iterate over your dictionary and print out the appropriate locations in your file:
for keys, values in data.items():
print keys
print ‘,’.join(values)
print

Output:
Airport_code
,Airport_name
Airport_name
,Town_suburb
,Country
Auckland
,Auckland
,Mount Albert
Auckland
,Auckland
,Greytown
,New Zealand
Auckland
,Auckland
,Waitakere
,New Zealand
Auckland
,Auckland
,Zealandia
,New Zealand
Auckland
,Auckland
,Mangere
,New Zealand
Auckland
,Auckland
,Victoria
,New Zealand

The normal X chromosome in the male: a scientific review.
Genetic and molecular studies of the X chromosome, its X-inactivation pattern, the X-chromosome gene products, and their functions are reviewed. Comparisons are made with the female X chromosome and the autosomes. The relationship of X-inactivation to the level of X chromosome genes and the mechanisms by which inactivation is established are discussed. Most cases of Turner syndrome and Klinefelter syndrome are discussed and the abnormalities of these patients are explained in terms of their X-chromosome gene content. The evidence for a gene or genes for retinoblastoma is reviewed. Differences in the X chromosome inactivated in primary tissues and in tumor cells are compared. The effect of the X chromosome on the chromosomal constitution in the male is also reviewed. An attempt is made to understand the X chromosome in relation to the problem of genetic sex determination in the male and the problem of sex-limited disorders
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