This gist shows how to take the timeline backup from Twitter and transform it into a dictionary using the headers as keys. For example, if the CSV file looked had two columns, col1 and col2, it would result in list that looked like: [{'col1': 'hello', 'col2': 'world'}, {'col1': 'bye', 'col2': 'world'}] It also converts the format used by Twitter…

twitter_convert.py

import csv
from dateutil import parser

qs_list = []
with open('C:\\Users\\username\\Desktop\\tweets.csv', 'rb') as csvfile:
    qsreader = csv.reader(csvfile, delimiter=',', quotechar='"')
    header = qsreader.next()
    for row in qsreader:
        d = parser.parse(row[6])
        row[6] = d.isoformat()
        qs_list.append(dict(zip(header,row)))