mittenchops

package main

import (
	"context"
	"log"
	"net"

	core "github.com/ipfs/go-ipfs/core"
	corerepo "github.com/ipfs/go-ipfs/core/corerepo"
	coreunix "github.com/ipfs/go-ipfs/core/coreunix"

mittenchops

import pandas as pd
import numpy as np
import rpy2
import rpy2.robjects as robjects
from rpy2.robjects.packages import importr
from pprint import pprint
import requests

req = requests.get('http://www.google.com')
pprint(req)

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wget -q -O- http://www.noodle.org/team | grep -c "member-bio"

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library(XML)

#url = paste("http://www.census.gov/population/international/data/idb/region.php?N=%20Results%20&T=15&A=separate&RT=0&Y=","1980","&R=-1&C=US", sep="")
years = seq(1980,2030,1)
urls = paste("http://www.census.gov/population/international/data/idb/region.php?N=%20Results%20&T=15&A=separate&RT=0&Y=",years,"&R=-1&C=US", sep="")

# INITIALIZING
dd <- readHTMLTable(urls[1],header=T, stringsAsFactors=F)[[1]]
x <- gsub(",", "", dd[dd$Age %in% c(18,19,20,21),3])
year <- dd[1,1]

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(when (>= emacs-major-version 24)
  (require 'package)
  (package-initialize)
  (setq package-archives '(("gnu" . "http://elpa.gnu.org/packages/")
                         ("marmalade" . "http://marmalade-repo.org/packages/")
                         ("melpa" . "http://melpa.milkbox.net/packages/")
			 )
	)
  )

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$ for i in {1..100}; do echo $(($RANDOM/1000)); done | spark

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http://stackoverflow.com/questions/21845124/python-simple-moving-average-class-based

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import requests
import bs4 as BeautifulSoup

def get_states():
    page = requests.get("http://www.epa.gov/enviro/html/codes/state.html").content
    soup = BeautifulSoup.BeautifulSoup(page)
    def findstates(tr):
        tds = tr.find_all('td')
        for td in tds:
            a = td.find_all("a")

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from __future__ import print_function
import numpy
import random

mylist = range(0,100)
random.shuffle(mylist)
myarray = numpy.array(mylist)

# via http://stackoverflow.com/questions/2130016/splitting-a-list-of-arbitrary-size-into-only-roughly-n-equal-parts
def chunkit(seq, N):

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# got some help here: http://stackoverflow.com/questions/22739070/function-of-a-list-of-data-frames-to-return-also-a-data-frame-in-r/

library(Amelia)

set.seed(1234)
myN <- 50
var1 <- runif(myN)
var2 <-  2*var1 + rnorm(myN, 0, 1)
var3 <-  var1^2 + rnorm(myN, 0, 1)