janeshdev

# Import files under folder name fawn 
# It is very important to include the option (full.names=TRUE). It it is not included 
# then you will get the error something like 
# "Error in file(file, "rt") : cannot open the connection In addition: Warning message:
#In file(file, "rt") : cannot open file 'FAWN_2002.csv': No such file or directory
 
mydata=ldply(list.files(path="data/fawn/",pattern="csv",full.names=TRUE),function(filename) {
    dum=read.csv(filename)
    dum$filename=filename
    return(dum)

c3h3

library(quantstrat)
library(magrittr)

Xt = getSymbols('2498.TW', auto.assign = F)

# 1st Step: Attach MA indicators onto symbol
Xt$MA5 = Xt %>% Cl %>% SMA(5)
Xt$MA60 = Xt %>% Cl %>% SMA(60)

rawsushi

This page is found here -- > http://gg.gg/helpeth  <-- Tell Others about it 

Created / Supported by:  Parker  https://gist.github.com/rawsushi/

GPU hw review  http://62.212.74.86/~mining/list/index.php

WeChat a) Download Wechat at www.WeChat.com (it's FREE)  b) create your new user (it's FREE)  c) add WeChat user "PAFwork" (it's FREE)

GITHUB.com - has TONS of great info. Go there and register. It's FREE
Gitter.im - you need Github to log in ... 

luochen1990

import Data.List
import Data.Function
import Control.Monad

groupOn f = groupBy ((==) `on` f) . sortBy (compare `on` f)
uniq = map (!! 0) . groupOn id

-- 场景：假设a得到了数字x，b得到了数字y
-- 可看做二分图，其中possibleX，possibleY是顶点，possible是边，(aGuessY x)和(bGuessX y)分别表达x点和y点的邻接点集
possibleX = [4..198]

y2468101216

Aws Elasticsearch Service 踩雷紀錄

前言

本文是為了幫助那些想使用 Aws Elasticsearch Servcie 跟 想使用 logstash kibana 所誕生的。

為何要使用 Aws Elasticsearch Service

免費 是最重要的原因，對於一個缺錢的新創或者是工程師，免費超吸引人的。 安裝快速，擴展方便也很重要，不過都比不過 免費

coeric

#-*- coding:utf-8 -*-
#!/usr/bin/env python
import requests
from bs4 import BeautifulSoup
import re
import shutil
import os


out='/home/coericnb'

lancelakey

### AWS scripts
These look trivial
http://docs.aws.amazon.com/AmazonCloudWatch/latest/DeveloperGuide/mon-scripts-perl.html
http://aws.amazon.com/code/8720044071969977


### Diamond
Diamond is fairly popular and it looks like there's a built in way for Diamond to send metrics to AWS CloudWatch so maybe this is fairly easy
https://github.com/BrightcoveOS/Diamond
https://github.com/BrightcoveOS/Diamond/wiki/handler-cloudwatchHandler

danny0838

[core]
    quotepath = false  # 中文檔名如實顯示而不轉碼
    autocrlf = false  # commit 及 checkout 時不根據作業系統轉換檔案的換行字元 (避免不小心改動原 repo 的換行字元)
    safecrlf = false  # 檢查文字類檔案是否混合了 CRLF 及 LF 換行字元 (搭配 autocrlf，這裡一起關閉)
    ignorecase = false  # 檔名大小寫不同時視為相異 (更動大小寫才能 commit)
    whitespace = cr-at-eol  # diff 時行尾 CRLF 不顯示 ^M
    fileMode = false  # 忽略檔案的 x 屬性 (for Windows)
    symlinks = false  # 忽略符號連結 (for Windows)
    editor = /usr/bin/vim  # 預設的文字編輯器 (for Linux)
[alias]

r10r

import java.awt.BorderLayout;
import java.awt.Canvas;
import java.awt.Dimension;

import javax.swing.JFrame;
import javax.swing.JPanel;

import org.eclipse.swt.SWT;
import org.eclipse.swt.awt.SWT_AWT;
import org.eclipse.swt.browser.Browser;

creaktive

#!/usr/bin/env perl
use 5.010;
use open qw(:locale);
use strict;
use utf8;
use warnings qw(all);

use Mojo::UserAgent;

# FIFO queue