gmariette

from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import random

# Import our csv into a panda dataframe
df = pd.read_csv('iss.csv')
# Convert timestamp column to a datetime format
df['timestamp'] = pd.to_datetime(df['timestamp'], unit='s')

gmariette

gmariette

import os
import re
import sys
import boto3
import concurrent.futures

# Get the script action
action = str(sys.argv[1])

def describeInstances(action):

gmariette

from kafka import KafkaConsumer, KafkaProducer, TopicPartition
from datetime import datetime
import boto3
import os
import sys

#settings
client = ["node01:9092", "node02:9092", "node03:9092"]
topic = 'test-auto-kafka'
nbrrecords = int(50)

gmariette

class Connect4:

    def __init__(self):
        self.numberOfColumns = 7
        self.numberOfLines = 6
        self.board = [ [ '  ' for _ in range( self.numberOfColumns)] for _ in range(self.numberOfLines) ]

    def displayBoard(self):
        for i, line in enumerate(self.board):
            # Printing the line separators

gmariette

import logging

logging.basicConfig(level=logging.DEBUG, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')

class weightlifting:

    def __init__(self):
        self.woman_barbell = 15
        self.man_barbell = 20
        self.gender = "F"

gmariette

import requests
import logging
from bs4 import BeautifulSoup
import argparse
import datetime

parser = argparse.ArgumentParser() 
parser.add_argument('-v', '--verbose', action='count', default=0)

args = parser.parse_args() 

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# # Analysis with beautifulsoup
soup = BeautifulSoup(response.content, 'html.parser')

table = soup.find("table",{"class":"result"})
table_body = table.find('tbody')
logging.debug(table_body)

rows = table_body.find_all('tr')
tournament_idx_lst = []
for i, row in enumerate(rows):

gmariette

def getPlayersFullName(playerUrl):
    player_url = 'https://www.tennisexplorer.com'+ playerUrl
    player_response = requests.get(player_url)
    player_soup = BeautifulSoup(player_response.content, 'html.parser')
    player_table = player_soup.find("table",{"class":"plDetail"})
    player_table_body = player_table.find('tbody')
    player_name = player_table_body.find_all('h3')
    return ' '.join(player_name[0].text.split()[::-1])

gmariette

for i, item in enumerate(tournament_idx_lst[:-1]):
    tournament_name = rows[item].find("td", class_="t-name").text.strip()
    if "Pro Tennis" in tournament_name or "Futures" in tournament_name or "challenger" in tournament_name:
        continue
    if not tournament_dict.get(tournament_name):
        tournament_dict[tournament_name] = {}
        tournament_dict[tournament_name][current_date] = []
    for c in range (item+1, tournament_idx_lst[i+1], 2):
        tournament_dict[tournament_name][current_date].append(getPlayersFullName(rows[c].find("td", class_="t-name").a['href']) + ' vs ' + getPlayersFullName(rows[c+1].find("td", class_="t-name").a['href']))