Matt Keranen kmatt

## Wombat.tmtheme
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
	<key>author</key>
	<string>Lars H. Nielsen (translated by Tony Kemp)</string>
	<key>name</key>
	<string>Wombat</string>
	<key>settings</key>
	<array>

## aws_usage.py
#!/usr/bin/env python

"""
A script to query the Amazon Web Services usage reports programmatically.

Ideally this wouldn't exist, and Amazon would provide an API we can use
instead, but hey - that's life.

Basically takes your AWS account username and password, logs into the
website as you, and grabs the data out. Always gets the 'All Usage Types'

## query_planner.markdown

      
              1 file
            
          
              25 forks
            
          
              2 comments
            
          
              69 stars
            
          
                hgmnz
                / query_planner.markdown
            
            
              Created
              March 23, 2011 14:14
            
              
                PostgreSQL query plan and SQL performance notes
              
          
    Types of index scans

Indexes

Sequential Scan:


Read every row in the table
No reading of index. Reading from indexes is also expensive.


## ExportThingsToTaskPaper.scpt
set thePath to (path to desktop as Unicode text) & "ThingsToDo.txt"
set thingsToDoFile to (open for access file thePath with write permission)
set eof of thingsToDoFile to 0
set cr to ASCII character 10

tell application "Things"

	-- Export to-dos from Inbox
	write "Inbox:" & return to thingsToDoFile as «class utf8»
	repeat with td in to dos of list "Inbox"

## gist:983051
# Optimized for writes, sort on read

# LVC
redis.hset("bonds|1", "bid_price", 96.01)
redis.hset("bonds|1", "ask_price", 97.53)
redis.hset("bonds|2", "bid_price", 95.50)
redis.hset("bonds|2", "ask_price", 98.25)
redis.sadd("bond_ids", 1)
redis.sadd("bond_ids", 2)

## aggregate.js
/* sample aggregate command queries */
// make sure we're using the right db; this is the same as "use mydb;" in shell
db = db.getSisterDB("aggdb");

// just passing through fields
var p1 = db.runCommand(
{ aggregate : "article", pipeline : [
    { $project : {
	tags : 1,
	pageViews : 1

## Solarized High Contrast Dark.itermcolors
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
	<key>Ansi 0 Color</key>
	<dict>
		<key>Blue Component</key>
		<real>0.19370138645172119</real>
		<key>Green Component</key>
		<real>0.15575926005840302</real>

## donotuse.py
##########################################################
# How to NEVER use Lambdas. An inneficient and yet educa-#
# tonal guide to the proper misuse of the lambda constru-#
# ct in Python 2.x.     [DO NOT USE ANY OF THIS EVER]    #
#                                   by: e000 (13/6/11)   #
##########################################################

## Part 1. Basic LAMBDA Introduction ##
# Well, it's worth diving straight into what lambdas are.
# Lambdas are pretty much anonymous "one line" functions

## anonymous
#!/usr/local/bin/python
import urllib
import urllib2
import re
import json
import htmlentitydefs
import cookielib

LOGIN,PASSWD = "yourlogin@someemail.com", "yourpassword"

## gist:1329319
#! /usr/bin/env python

import redis
import random
import pylibmc
import sys

r = redis.Redis(host = 'localhost', port = 6389)
mc = pylibmc.Client(['localhost:11222'])
	<?xml version="1.0" encoding="UTF-8"?>
	<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
	<plist version="1.0">
	<dict>
	<key>author</key>
	<string>Lars H. Nielsen (translated by Tony Kemp)</string>
	<key>name</key>
	<string>Wombat</string>
	<key>settings</key>
	<array>
	#!/usr/bin/env python

	"""
	A script to query the Amazon Web Services usage reports programmatically.

	Ideally this wouldn't exist, and Amazon would provide an API we can use
	instead, but hey - that's life.

	Basically takes your AWS account username and password, logs into the
	website as you, and grabs the data out. Always gets the 'All Usage Types'
	set thePath to (path to desktop as Unicode text) & "ThingsToDo.txt"
	set thingsToDoFile to (open for access file thePath with write permission)
	set eof of thingsToDoFile to 0
	set cr to ASCII character 10

	tell application "Things"

	-- Export to-dos from Inbox
	write "Inbox:" & return to thingsToDoFile as «class utf8»
	repeat with td in to dos of list "Inbox"
	# Optimized for writes, sort on read

	# LVC
	redis.hset("bonds\|1", "bid_price", 96.01)
	redis.hset("bonds\|1", "ask_price", 97.53)
	redis.hset("bonds\|2", "bid_price", 95.50)
	redis.hset("bonds\|2", "ask_price", 98.25)
	redis.sadd("bond_ids", 1)
	redis.sadd("bond_ids", 2)
	/* sample aggregate command queries */
	// make sure we're using the right db; this is the same as "use mydb;" in shell
	db = db.getSisterDB("aggdb");

	// just passing through fields
	var p1 = db.runCommand(
	{ aggregate : "article", pipeline : [
	{ $project : {
	tags : 1,
	pageViews : 1
	##########################################################
	# How to NEVER use Lambdas. An inneficient and yet educa-#
	# tonal guide to the proper misuse of the lambda constru-#
	# ct in Python 2.x. [DO NOT USE ANY OF THIS EVER] #
	# by: e000 (13/6/11) #
	##########################################################

	## Part 1. Basic LAMBDA Introduction ##
	# Well, it's worth diving straight into what lambdas are.
	# Lambdas are pretty much anonymous "one line" functions
	#!/usr/local/bin/python
	import urllib
	import urllib2
	import re
	import json
	import htmlentitydefs
	import cookielib

	LOGIN,PASSWD = "yourlogin@someemail.com", "yourpassword"
	#! /usr/bin/env python

	import redis
	import random
	import pylibmc
	import sys

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