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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" |
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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) |
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