graingerkid

import re

data = source_code_of_cached_page

google_cache_data = re.findall(r"""[A-Z][a-z]{2}\s[0-9]+,\s[0-9]{4}\s[0-9]{2}:[0-9]{2}:[0-9]{2}\s[A-Z]{3}""", data) or re.findall(r"""[0-9]+\s[A-Z][a-z]{2},\s[0-9]{4}\s[0-9]{2}:[0-9]{2}:[0-9]{2}\s[A-Z]{3}""", data)

graingerkid

# -*- coding: utf-8 -*-

# pip install tldextract
import tldextract

# standard lib
from urlparse import urlparse
from collections import namedtuple

graingerkid

# -*- coding: utf-8 -*-
'''
Basic example of working with a CSV file.
'''
import csv
import collections

lis = []

with open("file.csv") as f:

graingerkid

# -*- coding: utf-8 -*-

def to_unicode(unicode_or_str):
  '''Function to always return unicode
  '''
  if isinstance(unicode_or_str, str):
      value = unicode_or_str.decode('utf-8')
  else:
      value = unicode_or_str
  return value

graingerkid

// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console

graingerkid

def last_50(generator, n):
    '''
    Takes a generator object and returns 
    a specified number (n) into a list.
    '''
    counter = 0
    results = []
    for i in generator:
        if counter == n:
            break

graingerkid

def read_log(log):
    '''
    Returns generator from log files - typically gb of data.
    This allows a better performance due to memory issues of 
    returning the entire file.
    '''
    with open(log) as f:
        # opens log file
        for i in f:
            yield i

graingerkid

There are many Git workflows out there, I heavily suggest also reading the atlassian.com [Git Workflow][article] article as there is more detail then presented here.

The two prevailing workflows are [Gitflow][gitflow] and [feature branches][feature]. IMHO, being more of a subscriber to continuous integration, I feel that the feature branch workflow is better suited.

When using Bash in the command line, it leaves a bit to be desired when it comes to awareness of state. I would suggest following these instructions on [setting up GIT Bash autocompletion][git-auto].

Basic branching

When working with a centralized workflow the concepts are simple, master represented the official history and is always deployable. With each now scope of work, aka feature, the developer is to create a new branch. For clarity, make sure to use descriptive names like transaction-fail-message or github-oauth for your branches.

graingerkid

>>> import requests
>>> import time
>>> import webbrowser
>>> while True:
...     r=requests.get('https://www.example.co.uk/')
...     if r.status_code == 200:
...         webbrowser.open('https://www.example.co.uk/')
...     else:
...         pass
...     time.sleep(10)

graingerkid

from twython import Twython # pip install twython
import time # standard lib

''' Go to https://apps.twitter.com/ to register your app to get your api keys '''
CONSUMER_KEY = ''
CONSUMER_SECRET = ''
ACCESS_KEY = ''
ACCESS_SECRET = ''

twitter = Twython(CONSUMER_KEY,CONSUMER_SECRET,ACCESS_KEY,ACCESS_SECRET)