mikeckennedy

import opbeat
import opbeat.instrumentation
import opbeat.instrumentation.control
from pyramid.events import NewRequest
from pyramid.events import subscriber
from pyramid.httpexceptions import HTTPRedirection, HTTPException

opbeat_is_debug_mode = False

opbeat.instrumentation.control.instrument()

mikeckennedy

# ############ DICTIONARY vs. LIST LOOKUP PERF #############
# Create by Michael Kennedy (@mkennedy)
#
# Overview: 
# If you had a large set of data and you need to "find" a subset
# of elements by some value (equality not a computation, such as 
# between two values), it is dramatically faster. See the output
# comments at the very end of this file for numbers.
# 
import collections

mikeckennedy

# ############ __slots__ for improved memory usage #############
# Create by Michael Kennedy (@mkennedy)
#
# Overview:
# Custom types store their data in individualized, dynamic dictionaries
# via self.__dict__. Using __slots__ to limit available attribute names
# and move the name/key storage outside the instance to a type level
# can significantly improve memory usage. See EOF for perf numbers.
#

mikeckennedy

# Parse this busted file:
# 
# A,B,C,D,E, 
# A,B,C,D,E, 
# A,B,C,D,E, A,B,C,D,E,
# 
# A,B,C,D,E, 
# A,B,C,D,E, 

data = []

mikeckennedy

# Setup a virtual environment (running Python 3.5 foundation)
python -m venv ~/.python3_venv

# Activate the virtual environment
source ~/.python3_venv/bin/activate

# Install a few dependencies needed to bootstrap things
pip install setuptools nose mailchimp

# Register the website package (pyramid web app) as a package

mikeckennedy

# requires request and Python 3
import requests
import sys
import os
from xml.etree import ElementTree

def main():
    rss_url = 'https://pythonbytes.fm/episodes/rss'

    resp = requests.get(rss_url)

mikeckennedy

try:
    from xml.etree.cElementTree import XML
except ImportError:
    from xml.etree.ElementTree import XML
import zipfile


"""
Module that extract text from MS XML Word document (.docx).
(Inspired by python-docx <https://github.com/mikemaccana/python-docx>)

mikeckennedy

# Original version
def main():
	name = print_intro()	
	the_list = bash_list.commands
	flag='1'
	while flag=='1':
		random.shuffle(the_list)
		correct, incorrect, answer_list = question_loop(the_list)
		percentage = calculate_stats(correct, incorrect)
		print_results(correct, incorrect, percentage, name)	

mikeckennedy

import collections

Stock = collections.namedtuple('Stock', 'symbol, open, high, low, close, volume')

stocks = [
    Stock('AAL', 49, 49.1, 48.47, 48.63, 11901883),
    Stock('AAPL', 145.13, 147.16, 145.11, 146.28, 33917635),
    Stock('ADBE', 143.75, 145.59, 143.06, 145.41, 3383524),
    Stock('AMZN', 1002.54, 1004.62, 998.02, 1003.74, 2832807),
    Stock('GOOGL', 975.5, 986.62, 974.46, 986.09, 1524905),

mikeckennedy