kspeeckaert

kspeeckaert

import json
import uuid

from pathlib import Path
from urllib.parse import urlparse
from datetime import datetime

import html2text
import requests
from bs4 import BeautifulSoup

kspeeckaert

import requests
from bs4 import BeautifulSoup
import sys

def get_content(url):
    
    r = requests.get(url)
    r.raise_for_status()
    return r.text

kspeeckaert

from bs4 import BeautifulSoup
from tabulate import tabulate
import xerox

raw_html = xerox.paste()
tab_html = BeautifulSoup(raw_html, 'lxml')

rows = []
for row in tab_html.find_all('tr'):
    cols = [x.get_text().strip() for x in row.find_all(['td', 'th'])]

kspeeckaert

import timeit
from lxml import etree
from pandas import DataFrame
from uuid import uuid4

# List of process attributes to retrieve
def analyze_deadlock(elem, data_locks, data_procs):
    # Generate a UUID to identify all processes belonging to the same deadlock event
    dl_uuid = uuid4().hex
    databases = set()

kspeeckaert

import requests
import subprocess
import sys
from PIL import Image
from io import BytesIO

api_url='https://api.projectoxford.ai/vision/v1/ocr'

header = {'Ocp-Apim-Subscription-Key': '',
          'Content-Type': 'application/octet-stream'}

kspeeckaert

from pathlib import Path
import logging
import re
import requests
from bs4 import BeautifulSoup

log = logging.getLogger(__name__)
log.addHandler(logging.NullHandler())

class PacktBooks: