NamPNQ

[diff]
    tool = pycharm
[difftool "pycharm"]
    cmd = /usr/local/bin/charm diff "$LOCAL" "$REMOTE" && echo "Press enter to continue..." && read
[merge]
    tool = pycharm
    keepBackup = false
[mergetool "pycharm"]
    cmd = /usr/local/bin/charm merge "$LOCAL" "$REMOTE" "$BASE" "$MERGED"

cloverstd

#!/usr/bin/env python
# encoding: utf-8

import tornado.ioloop
import tornado.httpclient
import tornado.web
import tornado.gen
import json
import tornado.websocket
import Queue

tebeka

#!/usr/bin/env python2
'''Serving dynamic images with Pandas and matplotlib (using flask).'''

import matplotlib
matplotlib.use('Agg')

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from cStringIO import StringIO

brantfaircloth

# assume the following directory structure where contents of doc/ 
# and source/ are already checked into repo., with the exception 
# of the _build directory (i,e. you can check in _themes or _sources 
# or whatever else).
#
# proj/
#    source/
#    doc/

# remove doc/_build/html if present

justincase

type T struct {
    A int
    B string
}

t := T{23, "skidoo"}
s := reflect.ValueOf(&t).Elem()
typeOfT := s.Type()

for i := 0; i < s.NumField(); i++ {

nucliweb

fortune | cowsay | lolcat

Install Brew

ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

Install fortune

brew search fortune

iksky

首先我们来生成公钥文件。Terminal下面输入

ssh-keygen -t rsa

之后在Terminal的提示里按回车。直到生成id_rsa.pub文件，生成的id_rsa.pub文件在 ~/.ssh下面。Terminal下面输入

cd ~/.ssh
cp id_rsa.pub authorized_keys

上面第一句的意思是进入~/.ssh文件夹，第二句是复制id_rsa.pub为authorized_keys文件。

justinfx

"""
Dependencies:
    pip install tabulate simplejson ujson yajl msgpack
"""

from timeit import timeit
from tabulate import tabulate

setup = '''d = {
    'words': """

ngocphamm

Backend Architectures

Twitter

ror, scala, jetty, erlang, thrift, mongrel, comet server, my-sql, memchached, varnish, kestrel(mq), starling, gizzard, cassandra, hadoop, vertica, munin, nagios, awstats

• Scaling Twitter: Making Twitter 10000 Percent Faster
• Scaling Twitter
• Blaine Cook on Scaling Twitter - YouTube

XuankangLin

import subprocess

def getClipboardData():
    p = subprocess.Popen(['pbpaste'], stdout=subprocess.PIPE)
    retcode = p.wait()
    data = p.stdout.read()
    return data

def setClipboardData(data):
    p = subprocess.Popen(['pbcopy'], stdin=subprocess.PIPE)