hughdbrown

"""
Python script to backup data in src to dst using sha1 hashes of the files
in a backing directory.

Hugh Brown
[email protected]
"""

from hashlib import sha1
import os

hughdbrown

weights = [215, 275, 335, 355, 420, 580]
limit = 1505

ds = {
    i * w: [w] * i
    for w in weights
    for i in range(1, 1 + (limit // w))
}

for w in weights:

hughdbrown

#!/usr/bin/env python

import os
import sys
import time
import subprocess
import urllib2

import boto

hughdbrown

Keybase proof

I hereby claim:

• I am hughdbrown on github.
• I am hughdbrown (https://keybase.io/hughdbrown) on keybase.
• I have a public key whose fingerprint is 9CD4 F942 05BA F9CC 4ABD CB31 A9D2 7566 110A B89D

To claim this, I am signing this object:

hughdbrown

Dates

date_range

date_series = pd.date_range("start_date", "end_date")

CSV files

df = pd.read_csv("filename.csv", parse_dates=["column1"], index_col=["column2"])

hughdbrown

Day	Time	Total
Friday		2.00 hours
Saturday	10:00 - 18:00	8.00 hours
Saturday	19:30 - 21:30	2.00 hours
Sunday		4.00 hours
Monday	10:00 - 17:30	7.50 hours
Tuesday	09:00 - 17:00	8.00 hours

31.5 hours total

hughdbrown

Selection

where

>>> import numpy as np
>>> a = np.array([[7, 4, 3, 7],
...  [7, 2, 5, 4],
...  [1, 7, 5, 1]])
>>> for (i, j) in zip(*np.where(a % 2 == 0)):
...     print("[{0}, {1}]: {2}".format(i, j, a[i, j]))
... 

hughdbrown

import ConfigParser
import os.path


def get_creds():
    botofile = os.path.expanduser("~/.boto")
    with open(botofile) as f:
        c = ConfigParser.ConfigParser()
        c.readfp(f)
        return tuple(

hughdbrown

from scapy.all import *

AMAZON_TABLE = {
  '74:75:48:5f:99:30': 'Huggies,
  '10:ae:60:00:4d:f3': 'Elements',
}

def is_arp(arp):
  return (arp.op, arp.prc) == (1, '0.0.0.0')

hughdbrown

Projects

• Denver drivers
• Real estate factors
• Movie factors
• Wikipedia data
• UN global warming blocs
• Job recommender
• Homeaway data
• Resume clustering