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url,tagname,tagcount
"http://3dprinting.StackExchange.com/tags/101-hero|3dprinting","101-hero","1"
"http://3dprinting.StackExchange.com/tags/123d-catch|3dprinting","123d-catch","2"
"http://3dprinting.StackExchange.com/tags/2d|3dprinting","2d","4"
"http://3dprinting.StackExchange.com/tags/3d-design|3dprinting","3d-design","131"
"http://3dprinting.StackExchange.com/tags/3d-models|3dprinting","3d-models","152"
"http://3dprinting.StackExchange.com/tags/3d-pen|3dprinting","3d-pen","1"
"http://3dprinting.StackExchange.com/tags/3d-printerworks|3dprinting","3d-printerworks","1"
"http://3dprinting.StackExchange.com/tags/3dtouch|3dprinting","3dtouch","2"
"http://3dprinting.StackExchange.com/tags/abs|3dprinting","abs","66"

philshem

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#!/usr/bin/env python
# coding=utf-8

ignore_list = ('Search-Navigation','Tools-What links','Top-','Contents','Magyar')
with open('AcronymsFile.csv','r') as inp:
	data = inp.read().split('\n')

with open('clean_AcronymsFile.csv','w') as out:
	out.write('acronym'+'\t'+'definition'+'\n')

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acronym	definition
0D	Zero-dimensional
1AM	Air mechanic 1st class
1D	One-dimensional
2AM	Air mechanic 2nd class
2D	Two-dimensional
2G	Second-generation mobile (cellular, wireless) telephone system
2LA	Two letter acronym
2Lt	2nd lieutenant
3AM	Air mechanic 3rd class

philshem

import requests
import pandas as pd
import os
from io import StringIO

def request_function(domain):
	domain = domain.replace('/','')
	url = 'https://www.google.com/s2/favicons?domain=' + domain
	fav = requests.get(url).content
	with open('images'+os.sep+domain+'.png', 'wb') as handler:

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# requires python3.x and one non-standard module `pip install pdfrw`
# pdfs should be in folder relative to this code, named `pdfs`

import os
from pdfrw import PdfReader, PdfWriter
from glob import glob
import unicodedata

def edit_title_metadata(inpdf):

philshem

#/usr/bin/python3

# gets demographics for nobel prize winners
# calculates yearly average of how many years between prize and death

import pandas as pd
import numpy as np

# api endpoint for all nobel winnters: https://nobelprize.readme.io/
url = 'http://api.nobelprize.org/v1/laureate.csv'

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#!/usr/bin/env python3

import requests
from bs4 import BeautifulSoup
import json

def main():
	
	# the answers are stored as a json inside the page source
	url = 'https://www.nytimes.com/puzzles/spelling-bee'