GuilloOme

license: gpl-3.0
height: 2910
border: no

johnmackintosh

# https://www.r-graph-gallery.com/283-the-hourly-heatmap.html

library(ggplot2)
library(dplyr) # easier data wrangling 
library(viridis) # colour blind friendly palette, works in B&W also
library(Interpol.T) #  will generate a large dataset on initial load
library(lubridate) # for easy date manipulation
library(ggExtra) # because remembering ggplot theme options is beyond me
library(tidyr) 

vitorfs

import hmac
from hashlib import sha1

from django.conf import settings
from django.http import HttpResponse, HttpResponseForbidden, HttpResponseServerError
from django.views.decorators.csrf import csrf_exempt
from django.views.decorators.http import require_POST
from django.utils.encoding import force_bytes

import requests

alexeygrigorev

import requests
import base64
from tqdm import tqdm


master_json_url = 'https://178skyfiregce-a.akamaihd.net/exp=1474107106~acl=%2F142089577%2F%2A~hmac=0d9becc441fc5385462d53bf59cf019c0184690862f49b414e9a2f1c5bafbe0d/142089577/video/426274424,426274425,426274423,426274422/master.json?base64_init=1'
base_url = master_json_url[:master_json_url.rfind('/', 0, -26) + 1]

resp = requests.get(master_json_url)
content = resp.json()

1060460048

'''
Spider for IMDb
- Retrieve most popular movies & TV series with rating of 8.0 and above that have at least 5 award nominations
- Crawl next pages recursively
- Follow the details pages of scraped films to retrieve more information of each film
'''

from scrapy.contrib.spiders import CrawlSpider, Rule
from scrapy.contrib.linkextractors.sgml import SgmlLinkExtractor
from scrapy.selector import Selector

duffn

DROP TABLE if exists d_date;

CREATE TABLE d_date
(
  date_dim_id              INT NOT NULL,
  date_actual              DATE NOT NULL,
  epoch                    BIGINT NOT NULL,
  day_suffix               VARCHAR(4) NOT NULL,
  day_name                 VARCHAR(9) NOT NULL,
  day_of_week              INT NOT NULL,

michaelconnor00

# If bucket is private
AWS_ACCESS_KEY = 'your access key'
AWS_SECRET_KEY = 'your secret key'
AWS_REGION = 'your region'

session = boto3.session.Session(
  aws_access_key_id=AWS_ACCESS_KEY,
  aws_secret_access_key=AWS_SECRET_KEY,
  region_name=AWS_REGION
)

jberger

use Mojolicious::Lite;

use DBM::Deep;
use Mojo::JWT;

plugin 'Bcrypt';
plugin 'Minion' => {SQLite => 'minion.db'};

helper users => sub { state $db = DBM::Deep->new('users.db') };

rubo77

#!/usr/bin/env bash
# by rubo77: https://gist.github.com/rubo77/6f3abb42685237dfca16

# choose 5MB, 10MB, 20MB, 50MB, 100MB, 200MB, 512MB or 1GB
BIG=5MB
# choose the maximum download size for one recursive crawl, for example 100k or 2m
CRAWL_MAX=100k

IN="http://download.thinkbroadband.com/$BIG.zip http://google.de/?q=test http://www.bbc.co.uk http://www.theregister.co.uk http://en.wikipedia.org/wiki/cloud_computing"

aaronwolen

 ##############################################################################
 #                        Calendar Heatmap                                    #
 #                                by                                          #
 #                         Paul Bleicher                                      #
 # an R version of a graphic from:                                            #
 # http://stat-computing.org/dataexpo/2009/posters/wicklin-allison.pdf        #
 #  requires lattice, chron, grid packages                                    #
 ############################################################################## 

## calendarHeat: An R function to display time-series data as a calendar heatmap