earthgecko

#!/bin/bash
# bash generate random alphanumeric string
#

# bash generate random 32 character alphanumeric string (upper and lowercase) and 
NEW_UUID=$(cat /dev/urandom | tr -dc 'a-zA-Z0-9' | fold -w 32 | head -n 1)

# bash generate random 32 character alphanumeric string (lowercase only)
cat /dev/urandom | tr -dc 'a-z0-9' | fold -w 32 | head -n 1

kbastani

// Enter the day you would like to create
WITH { day: 18, month: 1, year: 2014 } as dayMap

// Merge hours in a day
MERGE (thisDay:Day { day: dayMap.day, month: dayMap.month, year: dayMap.year })
MERGE (firstHour:Hour { day: dayMap.day, month: dayMap.month, year: dayMap.year, hour: 1 })
CREATE (thisDay)-[:FIRST]->(firstHour)
FOREACH (i IN tail(range(1, 24)) |
    MERGE (thishour:Hour { day: dayMap.day, month: dayMap.month, year: dayMap.year, hour: i })
    MERGE (lasthour:Hour { day: dayMap.day, month: dayMap.month, year: dayMap.year, hour: i - 1 })

guillaumevincent

Guide to install PyQt5 on Mac OS X with python 3.4 virtualenv

Description

A simple guide to install PyQt5 on Mac OS X 10.9 (Maverick) and use python 3.4 on a virtualenv.

Requirements

• xcode 5.1.1
• python 3.4.0
• Qt libraries 5.2.1

amiltonwong

import os
import numpy as np
from itertools import izip
from argparse import ArgumentParser
from collections import OrderedDict
from skimage.io import ImageCollection, imsave
from skimage.transform import resize


camvid_colors = OrderedDict([

TariqAHassan

Pandas DataFrames are fantastic. However, concatenating them using standard approaches, such as pandas.concat(), can be very slow with large dataframes. This is a work around for that problem.

Note: this approach assumes that: (a) the goal is a row-wise concatenation (i.e., axis=0) and (b) all dataframes share the same column names.

If these assumptions are not met, this approach could still work…​but it will likely need to be modified.

rspeer