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Innarticles / nasa_code_results.csv
Last active Nov 24, 2015
Output of frequency of URL in NASA weblogs
View nasa_code_results.csv
/images/NASA-logosmall.gif 2140
/images/MOSAIC-logosmall.gif 1756
/images/USA-logosmall.gif 1748
/images/WORLD-logosmall.gif 1734
/images/ksclogo-medium.gif 1727
/ksc.html 1382
/images/KSC-logosmall.gif 1294
/ 627
/history/apollo/images/apollo-logo1.gif 606
/images/launch-logo.gif 562
View gist:af92fa121710fc4e94c6
import sys
import getopt
import csv
import argparse
def main(argv):
args = getopt.getopt(argv, "")
args = str(args[1][0])
print args
def get_cnt(lVals):
View rspec_cheatsheet_controller_spec.rb
require 'rails_helper'
RSpec.describe TodosController, :type => :controller do
context "GET index" do
#context "POST create" do
#context "GET show" do
#context "PATCH update" do (or PUT update)
#context "DELETE destroy" do
#context "GET new" do
Innarticles / rspec_model_testing_template.rb
Created Sep 11, 2016 — forked from kyletcarlson/rspec_model_testing_template.rb
Rails Rspec model testing skeleton & cheat sheet using rspec-rails, shoulda-matchers, shoulda-callbacks, and factory_girl_rails. Pretty much a brain dump of examples of what you can (should?) test in a model. Pick & choose what you like, and please let me know if there are any errors or new/changed features out there. Reddit comment thread: http…
View rspec_model_testing_template.rb
# This is a skeleton for testing models including examples of validations, callbacks,
# scopes, instance & class methods, associations, and more.
# Pick and choose what you want, as all models don't NEED to be tested at this depth.
# I'm always eager to hear new tips & suggestions as I'm still new to testing,
# so if you have any, please share!
# @kyletcarlson
# This skeleton also assumes you're using the following gems:
Innarticles /
Created Jan 14, 2017 — forked from erikbern/
Installing TensorFlow on EC2
# Note – this is not a bash script (some of the steps require reboot)
# I named it .sh just so Github does correct syntax highlighting.
# This is also available as an AMI in us-east-1 (virginia): ami-cf5028a5
# The CUDA part is mostly based on this excellent blog post:
# Install various packages
sudo apt-get update
Innarticles /
Last active Feb 13, 2017
Flask code for Fashion Recognizer
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os.path
import re
import sys
import tarfile
import numpy as np
View Nigeria_States.js
var state_arr = new Array("Lagos", "Rivers", "FCT", "Abia", "Adamawa", "Akwa Ibom", "Anambra", "Bauchi", "Bayelsa",
"Benue", "Borno", "Cross River", "Delta","Ebonyi", "Edo", "Ekiti", "Enugu", "Gombe", "Imo", "Jigawa", "Kaduna", "Kano","Katsina", "Kebbi", "Kogi", "Kwara", "Nasarawa", "Niger", "Ogun", "Ondo", "Osun", "Oyo", "Plateau", "Sokoto", "Taraba", "Yobe", "Zamfara");
View gist:db5f33480d74f5fecc30cedcf613d5f0
Innarticles / CSV_DB.rb
Created Jul 22, 2018
Rails Code Snippet on Creating Objects from CSV data
View CSV_DB.rb
csv_text ='lib', 'seeds', 'products.csv'))
csv = CSV.parse(csv_text, :headers => true, :encoding => 'ISO-8859-1')
csv.each do |row|
t = = row['id']
t.title = row['title']
t.brand = row['brand']
t.description = row['description']
t.main_image = row['picture']
t.condition = row['condition']
url = ""
from bs4 import BeautifulSoup
import requests
import csv
# Main Coding Sectio
start = 1
with open("Units.csv", 'wb') as save:
while True:
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