Sohier Dane SohierDane

## kuzushiji_competition_metric
"""
Python equivalent of the Kuzushiji competition metric (https://www.kaggle.com/c/kuzushiji-recognition/)
Kaggle's backend uses a C# implementation of the same metric. This version is
provided for convenience only; in the event of any discrepancies the C# implementation
is the master version.

Tested on Python 3.6 with numpy 1.16.4 and pandas 0.24.2.
"""


## prepare_data.py
"""
Download all files from
https://www.census.gov/econ/currentdata/datasets/index
and repackage into a data.csv, metadata.csv, and notes.txt
"""

import argparse
import os
import pandas as pd
import re

## prepare_data.py
"""
Download all files from
http://www.nber.org/databases/macrohistory/contents/
and repackage into a data csv and a documentation csv
"""

import argparse
import os
import pandas as pd
import requests

## download_tmdb_data.py
"""
Pull movie metadata from the https://www.themoviedb.org API.

Requires an API key stored in a .config file

The code is currently restricted to the movie category. To get it to run with
other categories, update the constants
    (CATEGORY_SPECIFIC_CALLS, JSON_COLUMNS, KEYS_TO_DROP)
and delete the movie specific section of the export_data() function.

## parse_mortality_data.py
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
For each year, parse the pdf manual, then use that information to
unpack the fixed-width data file.

Source data files can be found here:
https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm#Mortality_Multiple

Passes basic tests for 2005-2015. Untested on earlier years.

## 1ca_kpi_calculator.py
"""
Calculates key performance indicators for the 1 click appliers.


Manual validation of  5 cl missing reply link failures (is link actually there?)

https://columbus.craigslist.org/eng/5939246199.html', correct
'https://seattle.craigslist.org/tac/edu/5946859577.html', correct
'https://seattle.craigslist.org/see/egr/5955565817.html', correct
'https://minneapolis.craigslist.org/hnp/npo/5961895846.html', correct

## gist:e2458ab105794c96f4f0b8bc626e6782
#! /usr/bin/env python
from ats.one_click_applier import ATSApplierInput
from ats.taleo.applier_type_test import TaleoApplier
from collections import Counter
from postings.selenium_visitor import PostingSeleniumVisitor
from util.orator.job_scout import JobScout
from util.proxies import setup_phantom
from util.database import setup_cursor, execute_query
from util.aws import INTERNAL_BUCKET, S3Downloader
	"""
	Python equivalent of the Kuzushiji competition metric (https://www.kaggle.com/c/kuzushiji-recognition/)
	Kaggle's backend uses a C# implementation of the same metric. This version is
	provided for convenience only; in the event of any discrepancies the C# implementation
	is the master version.

	Tested on Python 3.6 with numpy 1.16.4 and pandas 0.24.2.
	"""
	"""
	Download all files from
	https://www.census.gov/econ/currentdata/datasets/index
	and repackage into a data.csv, metadata.csv, and notes.txt
	"""

	import argparse
	import os
	import pandas as pd
	import re
	"""
	Download all files from
	http://www.nber.org/databases/macrohistory/contents/
	and repackage into a data csv and a documentation csv
	"""

	import argparse
	import os
	import pandas as pd
	import requests
	"""
	Pull movie metadata from the https://www.themoviedb.org API.

	Requires an API key stored in a .config file

	The code is currently restricted to the movie category. To get it to run with
	other categories, update the constants
	(CATEGORY_SPECIFIC_CALLS, JSON_COLUMNS, KEYS_TO_DROP)
	and delete the movie specific section of the export_data() function.
	#!/usr/bin/env python3
	# -- coding: utf-8 --
	"""
	For each year, parse the pdf manual, then use that information to
	unpack the fixed-width data file.

	Source data files can be found here:
	https://www.cdc.gov/nchs/data_access/vitalstatsonline.htm#Mortality_Multiple

	Passes basic tests for 2005-2015. Untested on earlier years.
	"""
	Calculates key performance indicators for the 1 click appliers.


	Manual validation of 5 cl missing reply link failures (is link actually there?)

	https://columbus.craigslist.org/eng/5939246199.html', correct
	'https://seattle.craigslist.org/tac/edu/5946859577.html', correct
	'https://seattle.craigslist.org/see/egr/5955565817.html', correct
	'https://minneapolis.craigslist.org/hnp/npo/5961895846.html', correct
	#! /usr/bin/env python
	from ats.one_click_applier import ATSApplierInput
	from ats.taleo.applier_type_test import TaleoApplier
	from collections import Counter
	from postings.selenium_visitor import PostingSeleniumVisitor
	from util.orator.job_scout import JobScout
	from util.proxies import setup_phantom
	from util.database import setup_cursor, execute_query
	from util.aws import INTERNAL_BUCKET, S3Downloader