matt2000

---
tv_shows:  # This is the base table for a given entity.
    label: "TV Show"  # A Human readable name for the entity.
    autofilter: "tv_shows.is_test = False"  # Optional. A condition added to every WHERE clause generated for this entity.
    alias_for: mydb.mychema.tv_shows # Optional, in case the top-level key is not a real table name.
    fields:

      show_id:  # Column Name or alias for a metric.
        label: "TV Show ID" # Human-readable name for the field.
        type: int # Data type, for use by software that validates or builds UIs.

matt2000

Both.

matt2000

import boto3

debug = False
bucket = 'your-bucket-name'
prefix = 'some/s3/prefix/'

s3 = boto3.client('s3')

size = 0

matt2000

#!/bin/sh
# Usage: run-with-temp-vol.sh SCRIPT SIZE MOUNT [DEVICE]
### Run this from an EC2 node to run the command given as $1 after we provision
### and attach an EBS volume of size $2 at mount point $3 as device $4, default
### "/dev/xvdm".

# Params
SCRIPT="$1"
SIZE="$2"
DEVICE="/dev/xvdm"

matt2000

abrahamic
accidentally
according
across
actuality
ago
agreed
air
all
allegedly

matt2000

#!/usr/bin/python3
"""excess.py <character> <count>

Outputs rows in stdIn having more than <count> occurences of <character>.
"""

from sys import argv, stdin

for line in stdin:
    if line.count(argv[1]) > int(argv[2]):

matt2000

Keybase proof

I hereby claim:

• I am matt2000 on github.
• I am matt2000 (https://keybase.io/matt2000) on keybase.
• I have a public key whose fingerprint is 89D9 BE0A 35B6 E9BC 0911 A39B 7A1D B8EA 4DA3 EA28

To claim this, I am signing this object:

matt2000

" Following lines added by drush vimrc-install on Fri, 19 Sep 2014 00:29:32 +0000.
set nocompatible
"filetype off

" set the runtime path to include Vundle and initialize
set rtp+=~/.vim/bundle/Vundle.vim
call vundle#begin()
" alternatively, pass a path where Vundle should install plugins
"call vundle#begin('~/some/path/here')

matt2000

#!/usr/bin/python2
"""
Efficiently searches a log file for recent rows matching a Regular Expression
pattern. Assumes log file is appended in timestamp order.
"""
import os
import sys
from datetime import timedelta
from datetime import datetime
import re

matt2000

#!/usr/bin/python2
"""
Efficiently searches a log file for recent rows matching a Regular Expression
pattern. Assumes log file is appended in timestamp order.
"""
import os
import sys
from datetime import timedelta
from datetime import datetime
import re