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#!/usr/bin/env python | |
''' | |
File: keynote2pdf.py | |
Author: Adam Pah | |
Description: | |
Converts a directory of keynote documents to pdfs | |
Hacky hack hack. | |
''' | |
#Standard path imports |
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#!/usr/bin/env python3 | |
''' | |
File: notebook_cleaner.py | |
Author: Adam Pah | |
Description: | |
Cleans the output from a notebook | |
''' | |
#Standard path imports | |
from __future__ import division, print_function |
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''' | |
File: mongoConnect.py | |
Author: Adam Pah | |
Description: | |
Handle the mongo connections | |
''' | |
import sys | |
import random | |
from pymongo import MongoClient |
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,SeriousDlqin2yrs,RevolvingUtilizationOfUnsecuredLines,age,NumberOfTime30-59DaysPastDueNotWorse,DebtRatio,MonthlyIncome,NumberOfOpenCreditLinesAndLoans,NumberOfTimes90DaysLate,NumberRealEstateLoansOrLines,NumberOfTime60-89DaysPastDueNotWorse,NumberOfDependents | |
1,1,0.766126609,45,2,0.802982129,9120,13,0,6,0,2 | |
2,0,0.957151019,40,0,0.121876201,2600,4,0,0,0,1 | |
3,0,0.65818014,38,1,0.085113375,3042,2,1,0,0,0 | |
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5,0,0.9072394,49,1,0.024925695,63588,7,0,1,0,0 | |
6,0,0.213178682,74,0,0.375606969,3500,3,0,1,0,1 | |
7,0,0.305682465,57,0,5710,NA,8,0,3,0,0 | |
8,0,0.754463648,39,0,0.209940017,3500,8,0,0,0,0 |
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,SeriousDlqin2yrs,RevolvingUtilizationOfUnsecuredLines,age,NumberOfTime30-59DaysPastDueNotWorse,DebtRatio,MonthlyIncome,NumberOfOpenCreditLinesAndLoans,NumberOfTimes90DaysLate,NumberRealEstateLoansOrLines,NumberOfTime60-89DaysPastDueNotWorse,NumberOfDependents | |
1,,0.88551908,43,0,0.177512717,5700,4,0,0,0,0 | |
2,,0.463295269,57,0,0.527236928,9141,15,0,4,0,2 | |
3,,0.043275036,59,0,0.687647522,5083,12,0,1,0,2 | |
4,,0.280308229,38,1,0.925960637,3200,7,0,2,0,0 | |
5,,0.9999999,27,0,0.019917227,3865,4,0,0,0,1 | |
6,,0.509791452,63,0,0.342429365,4140,4,0,0,0,1 | |
7,,0.587778161,50,0,1048,0,5,0,0,0,3 | |
8,,0.046148938,79,1,0.3691702,3301,8,0,1,0,1 |
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,SeriousDlqin2yrs,RevolvingUtilizationOfUnsecuredLines,age,NumberOfTime30-59DaysPastDueNotWorse,DebtRatio,MonthlyIncome,NumberOfOpenCreditLinesAndLoans,NumberOfTimes90DaysLate,NumberRealEstateLoansOrLines,NumberOfTime60-89DaysPastDueNotWorse,NumberOfDependents | |
1,1,0.766126609,45,2,0.802982129,9120,13,0,6,0,2 | |
2,0,0.957151019,40,0,0.121876201,2600,4,0,0,0,1 | |
3,0,0.65818014,38,1,0.085113375,3042,2,1,0,0,0 | |
4,0,0.233809776,30,0,0.036049682,3300,5,0,0,0,0 | |
5,0,0.9072394,49,1,0.024925695,63588,7,0,1,0,0 | |
6,0,0.213178682,74,0,0.375606969,3500,3,0,1,0,1 | |
7,0,0.305682465,57,0,5710,NA,8,0,3,0,0 | |
8,0,0.754463648,39,0,0.209940017,3500,8,0,0,0,0 |
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,SeriousDlqin2yrs,RevolvingUtilizationOfUnsecuredLines,age,NumberOfTime30-59DaysPastDueNotWorse,DebtRatio,MonthlyIncome,NumberOfOpenCreditLinesAndLoans,NumberOfTimes90DaysLate,NumberRealEstateLoansOrLines,NumberOfTime60-89DaysPastDueNotWorse,NumberOfDependents | |
1,,0.88551908,43,0,0.177512717,5700,4,0,0,0,0 | |
2,,0.463295269,57,0,0.527236928,9141,15,0,4,0,2 | |
3,,0.043275036,59,0,0.687647522,5083,12,0,1,0,2 | |
4,,0.280308229,38,1,0.925960637,3200,7,0,2,0,0 | |
5,,0.9999999,27,0,0.019917227,3865,4,0,0,0,1 | |
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8,,0.046148938,79,1,0.3691702,3301,8,0,1,0,1 |
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,SeriousDlqin2yrs,RevolvingUtilizationOfUnsecuredLines,age,NumberOfTime30-59DaysPastDueNotWorse,DebtRatio,MonthlyIncome,NumberOfOpenCreditLinesAndLoans,NumberOfTimes90DaysLate,NumberRealEstateLoansOrLines,NumberOfTime60-89DaysPastDueNotWorse,NumberOfDependents | |
1,,0.88551908,43,0,0.177512717,5700,4,0,0,0,0 | |
2,,0.463295269,57,0,0.527236928,9141,15,0,4,0,2 | |
3,,0.043275036,59,0,0.687647522,5083,12,0,1,0,2 | |
4,,0.280308229,38,1,0.925960637,3200,7,0,2,0,0 | |
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7,,0.587778161,50,0,1048,0,5,0,0,0,3 | |
8,,0.046148938,79,1,0.3691702,3301,8,0,1,0,1 |
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