Proteusiq

import re
from collections import Counter

# eyes [nose] mouth | mouth [nose] eyes pattern
emoticons = r"(?:[<>]?[:;=8][\-o\*\']?[\)\]\(\[dDpP/\:\}\{@\|\\]|[\)\]\(\[dDpP/\:\}\{@\|\\][\-o\*\']?[:;=8][<>]?)"

emoticon_re = re.compile(emoticons, re.VERBOSE | re.I | re.UNICODE)

Proteusiq

import string
from collections import deque

letters = string.ascii_lowercase

def pass_creator(string='',rotation=0):
	'''
	Takes in the string and rotate words
	n steps +n, to get back to original 
	use -n

Proteusiq

def get_imports():
	import types
	'''
        returns a generator of packages and version numbers used in the script
        use. print(set(get_imports())) to show the packages. packages that are
	import directly e.g. from nltk.stem import SnowballStemmer won't be found
        '''
	for name, val in globals().items():
		if isinstance(val, types.ModuleType):
			if hasattr(val, '__version__'):

Proteusiq

from datetime import datetime

class MyImportError(Exception):
    '''Error when humanfriendly module not installed'''
    def __init__(self,original_exception,msg):
        super(MyImportError, self).__init__(f'\n\n{original_exception} {msg}')
        self.original_exception = original_exception

msg = ('\nInstall using conda or pip:'
        '\n>pip install humanfriendly' 

Proteusiq

from collections import defaultdict
import requests
import pandas as pd

def get_postal(only_postal=True):
    '''
    Simple function that returns DK postal codes from DAWA. If only_post is false,
    postal code name, kommune, latitude and longitude are returned
    
    how to use:

Proteusiq

from concurrent.futures import ThreadPoolExecutor
import random,time
from bs4 import BeautifulSoup as bs
import requests

URL = 'http://quotesondesign.com/wp-json/posts'

def quote_stream(sleep=5):
	'''
	Quoter streamer

Proteusiq

# List unique values in a DataFrame column
# h/t @makmanalp for the updated syntax!
df['Column Name'].unique()

# For each unique value in a DataFrame column, get a frequency count
df['Column Name'].value_counts()

# Convert Series datatype to numeric (will error if column has non-numeric values)
# h/t @makmanalp
pd.to_numeric(df['Column Name'])

Proteusiq

import cmd
import random
import re


from hangword import words

class Hang(cmd.Cmd):
	
	'''Command Line Hangman

Proteusiq

hangwords = \
'''abruptly
absurd
abyss
affix
askew
avenue
awkward
axiom
azure

Proteusiq

from datetime import datetime
import requests


url = 'https://www.fartkontrol.nu/ajax.php'
dawa_url = 'https://dawa.aws.dk/postnumre/reverse'


data = {'json':'''{"action":"controls_fetch","uid":null,"app":0,"my_coords":{"Ya":0,"Za":0,"a c":0},"types":["1","-1","-1",null,"1"]}'''}