gitdagray

from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from bs4 import BeautifulSoup
import re
import pandas as pd
from tabulate import tabulate
import os

#launch url
url = "http://kanview.ks.gov/PayRates/PayRates_Agency.aspx"

xiaostrong

from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import requests
import time
import re
import json
import time

def login():
    options = webdriver.ChromeOptions()

WillKoehrsen

# selenium for web driving
import selenium
from selenium import webdriver

# time for pausing between navigation
import time

# Datetime for recording time of submission
import datetime

rdinse

# Simple Google Drive backup script with automatic authentication
# for Google Colaboratory (Python 3)

# Instructions:
# 1. Run this cell and authenticate via the link and text box.
# 2. Copy the JSON output below this cell into the `mycreds_file_contents`
#    variable.  Authentication will occur automatically from now on.
# 3. Create a new folder in Google Drive and copy the ID of this folder
#    from the URL bar to the `folder_id` variable.
# 4. Specify the directory to be backed up in `dir_to_backup`.

tushortz

from selenium import webdriver
from selenium.webdriver.chrome.options import DesiredCapabilities
from selenium.webdriver.common.proxy import Proxy, ProxyType

import time


co = webdriver.ChromeOptions()
co.add_argument("log-level=3")
co.add_argument("--headless")

liquidgenius

import dataset
import pandas as pd

# create dataframe
df = pd.DataFrame()
names = ['Bob', 'Jane', 'Alice', 'Ricky']
ages = [31, 30, 31, 30]
df['names'] = names
df['ages'] = ages

lobstrio

# python package
import csv
import time
import random
import sys
import os

# selenium package
from selenium import webdriver
from selenium.webdriver.common.keys import Keys

npearce

UPDATE (March 2020, thanks @ic): I don't know the exact AMI version but yum install docker now works on the latest Amazon Linux 2. The instructions below may still be relevant depending on the vintage AMI you are using.

Amazon changed the install in Linux 2. One no-longer using 'yum' See: https://aws.amazon.com/amazon-linux-2/release-notes/

Docker CE Install

sudo amazon-linux-extras install docker
sudo service docker start

liquidgenius

import pymysql
from pprint import pprint as pprint
__author__ = "Liquidgenius"

class Query:

    def __init__(self, host, port, user, password, schema):
        self.host = host
        self.port = port
        self.user = user

kperry2215

def low_pass_filter_anomaly_detection(df, 
                                      column_name, 
                                      number_of_stdevs_away_from_mean):
    """
    Implement a low-pass filter to detect anomalies in a time series, and save the filter outputs 
    (True/False) to a new column in the dataframe.
    Arguments:
        df: Pandas dataframe
        column_name: string. Name of the column that we want to detect anomalies in
        number_of_stdevs_away_from_mean: float. Number of standard deviations away from