alecklandgraf

#! /usr/bin/env python

import redis
import random
import pylibmc
import sys

r = redis.Redis(host = 'localhost', port = 6389)
mc = pylibmc.Client(['localhost:11222'])

alecklandgraf

# remember to patch first
from gevent import monkey
monkey.patch_all()

import gevent

from uuid import uuid4

from cassandra.cqlengine.connection import setup
from cassandra.cqlengine.columns import *

alecklandgraf

def dicty(d, key=None):
    """removes empty string and None values from a nested dict, if key, then prints all values within the dict"""
    if key:
        for k, v in d.items():
            if k.lower() == key.lower():
                print "{}: {}".format(k, v)
            if isinstance(v, dict):
                dicty(v, key)
            if isinstance(v, list):
                for x in v:

alecklandgraf

The Best of the Best Practices (BOBP) Guide for Python

A "Best of the Best Practices" (BOBP) guide to developing in Python.

In General

Values

• "Build tools for others that you want to be built for you." - Kenneth Reitz
• "Simplicity is alway better than functionality." - Pieter Hintjens

alecklandgraf

//Practically all this code comes from https://github.com/alangrafu/radar-chart-d3
//I only made some additions and aesthetic adjustments to make the chart look better 
//(of course, that is only my point of view)
//Such as a better placement of the titles at each line end, 
//adding numbers that reflect what each circular level stands for
//Not placing the last level and slight differences in color
//
//For a bit of extra information check the blog about it:
//http://nbremer.blogspot.nl/2013/09/making-d3-radar-chart-look-bit-better.html

alecklandgraf

#!/usr/bin/env python
 
# Example for RC timing reading for Raspberry Pi
# Must be used with GPIO 0.3.1a or later - earlier verions
# are not fast enough!
 
import RPi.GPIO as GPIO, time, os      
 
DEBUG = 1
GPIO.setmode(GPIO.BCM)

alecklandgraf

#!/bin/sh
branch=`git symbolic-ref --short HEAD`

# allow user input within pre-commit hook
exec < /dev/tty

if [ $branch == "master" ]; then
    echo "Commit to master [yes|no]?"
    read yesno
    if [ "$yesno" == "yes" ]; then

alecklandgraf

def reindex_orgs(org_ids):
    from seed.services import  es_search_query
    from elasticsearch import Elasticsearch
    s = es_search_query()
    s = s.filter('terms', building_snapshot__super_organization=org_ids)
    from seed.services import elasticsearch_client
    es = elasticsearch_client()
    es.delete_by_query(index=settings.ES_INDEX, doc_type='canonical_building', body=s.to_dict())
    from seed.utils.seed_elasticsearch import canon_serializer
    import itertools

alecklandgraf

Elastic{ON} 2015 best practices

Notes by: Aleck Landgraf

config and index settings

• #1 take away: use 3 master nodes
  • these can be whimpy EC2 instances
  • don't issue search queries to them
  • don't put data on them, i.e. don't index to them

alecklandgraf

Python Engineer Take Home Project

Building Energy strives to help businesses and governments understand where energy usage occurs, and how to improve energy efficiency. Let’s look at some real-world data in a similar field; check out World Bank Data on Carbon Emissions. Click "Download Data" and select the format you want to work with, (CSV might be simplest).

Let’s build a simple application to read in this data from the commandline and sort the rows by a function applied across the columns of said rows.

We should be able to answer the following questions:

• Sort countries according to the average change in carbon emissions per capita (ascending, descending, etc.).