ilovejs

Frontend Development

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ilovejs

if (!require(quantmod)) {
  stop("This app requires the quantmod package. To install it, run 'install.packages(\"quantmod\")'.\n")
}

# Download data for a stock if needed, and return the data
require_symbol <- function(symbol, envir = parent.frame()) {
  if (is.null(envir[[symbol]])) {
    envir[[symbol]] <- getSymbols(symbol, auto.assign = FALSE)
  }

ilovejs

import numpy as np
import pylab as pl
import pandas as pd

from sklearn import svm
from sklearn import linear_model
from sklearn import tree

from sklearn.metrics import confusion_matrix

ilovejs

package main

import (
	"net/http"
	"net/url"
	"log"
	"io/ioutil"
	"regexp"
	"fmt"
	//"net/http/httputil"

ilovejs

# Back-Propagation Neural Networks
# another way: solve it as a Regression Problem
# Written in Python.  See http://www.python.org/
# Modified by JSun to solve the problem here: http://www.weibo.com/1497035431/ynPEvC78V
# Neil Schemenauer <nas@arctrix.com>

import math
import random
import string