s2t2

column_name	datatype	description
user_id	INTEGER	unique identifier for each user in our "impeachment 2020" dataset
created_on	DATE	date the user was created
screen_name_count	INTEGER	number of screen names used
screen_names	STRING	all screen names used
is_bot	BOOLEAN	whether or not we classified this user as a "bot" / automated account
bot_rt_network	INTEGER	for bots, which retweet network (0:anti-trump, 1:pro-trump)
is_q	BOOLEAN	whether or not this user tweeted Q-anon language / hashtags

kylemcdonald

prateekchandrayan

#Step 1
import cv2                 # working with, mainly resizing, images
import numpy as np         # dealing with arrays
import os                  # dealing with directories
from random import shuffle # mixing up or currently ordered data that might lead our network astray in training.
from tqdm import tqdm      # a nice pretty percentage bar for tasks. Thanks to viewer Daniel BA1/4hler for this suggestion
import tensorflow as tf    #Import Tensorflow
import glob                #This will extract all files from the folder
import keras
from keras.preprocessing.image import ImageDataGenerator

alexcameron89

begin
  require "bundler/inline"
rescue LoadError => e
  $stderr.puts "Bundler version 1.10 or later is required. Please update your Bundler"
  raise e
end

gemfile(true) do
  source "https://rubygems.org"
  gem "rails", "5.0.3"

s2t2

Fork the Repo

Leverage an existing open source website to publish your own.

Note: your website content will be available to the public.

Objectives

1. Develop a familiarity with open source software, software version control, and website hosting.

• Gain exposure to a basic website, noting its directory structure and observing HTML document structures and content.

eikes

 ["Africa/Algiers", "West Central Africa"],
 ["Africa/Cairo", "Cairo"],
 ["Africa/Casablanca", "Casablanca"],
 ["Africa/Harare", "Harare"],
 ["Africa/Johannesburg", "Pretoria"],
 ["Africa/Monrovia", "Monrovia"],
 ["Africa/Nairobi", "Nairobi"],
 ["America/Argentina/Buenos_Aires", "Buenos Aires"],
 ["America/Bogota", "Bogota"],
 ["America/Caracas", "Caracas"],

quadrolls

require 'rails_helper'

RSpec.describe Api::LoginsController, type: :controller do
  
  before :each do
    @header_code = 'AZSALE12345'
  end

  describe 'logout', focus: true do
    it 'returns status 204' do

alecrajeev

Democratic Primary 2016 by CD

Background

The purpose of this map as detailed on Daily Kos is to represent the congressional districts in the United States accurately. Currently it is difficult to show the districts because some such as those in New York City are very small, while others like Montana are the size of an entire state. Previosly the maps needed to be zoomable to see the districts containing cities. Other represntations such as cartograms warped the country's shape. This map attempts to fix that by giving each congressional district equal area i.e. five regular hexagons.

The map was built by Daniel Donner.

I ported the map using d3 to make it easier to use.

The raw data on the race comes from The Green Papers, but I adapted it slightly to my use in [google s

subfuzion

Common Options

-#, --progress-bar Make curl display a simple progress bar instead of the more informational standard meter.

-b, --cookie <name=data> Supply cookie with request. If no =, then specifies the cookie file to use (see -c).

-c, --cookie-jar <file name> File to save response cookies to.

lukas-h

Markdown License badges

Collection of License badges for your Project's README file.
This list includes the most common open source and open data licenses.
Easily copy and paste the code under the badges into your Markdown files.

Notes

• The badges do not fully replace the license informations for your projects, they are only emblems for the README, that the user can see the License at first glance.

Translations: (No guarantee that the translations are up-to-date)

• 🇫🇷 Cette liste en français