Complete the Python program below to extract and display all the header tags from the URL below from urllib.request import urlopen from bs4 import BeautifulSoup html = urlopen('https://blogs.baruch.cuny.edu/abuk/') bs =  #TO DO -- Complete the Code titles =  #TO DO -- Complete the Code print('List all the header tags :', *titles, sep='\n\n')

python: def txt_to_csv(input_file):    """    Question 3    - cats.txt contains information about cat breeds and their various characteristics.    - Read the cats.txt with FILE I/O.    - These are TAB separated values    - Use a list of lists to create a CSV file with the appropriate data WITHOUT WHITESPACE (remove \t) named "cleaned_cats.csv".    - Exclude the "body_type" column    - If a row has a length < 5, remove it.    - For strings containing extra quotes, strip the extra quotes.    - Return the list of lists.     Args:        input_file (cats.txt)    Returns:        List of lists     Output:    [['breed', 'type', 'coat_type', 'coat_pattern'],    ['Abyssinian', 'Natural', 'Short', 'Ticked tabby'],    ['Aegean', 'Natural', 'Semi-long', 'Multi-color'],    ['American Bobtail', 'Mutation', 'Semi-long', 'All'],    ['American Curl', 'Mutation', 'Semi-long', 'All'],    ['American Ringtail', 'Mutation', 'Semi-long', 'All'],    ['American Shorthair', 'Natural', 'Short', 'All'],    ...…

Scenario:  You have been tasked with building a URL file validator for a web crawler. A web crawler is an application that fetches a web page, extracts the URLs present in that page, and then recursively fetches new pages using the extracted URLs. The end goal of a web crawler is to collect text data, images, or other resources present in order to validate resource URLs or hyperlinks on a page. URL validators can be useful to validate if the extracted URL is a valid resource to fetch. In this scenario, you will build a URL validator that checks for supported protocols and file types.

I need the answer as soon as possible

C++ I have a code, but it doesn't work well. Please help me fix it. The code read 2 file, Punchcards.txt as a key (for password) and Tuple.csv as the password. Punchcards.txt --------------------------------------------------------------------------------Y 00000000000000000000000000000000000000000000000000000000000000000000000000000000X 000000000000000000000000000000000000000000000000000000000000000000000000000000000 100000000000000000000000000000000000000000000000000000000000000000000000000000001 010000000000000000000000000000000000000000000000000000000000000000000000000000002 001000000000000000000000000000000000000000000000000000000000000000000000000000003 000100000000000000000000000000000000000000000000000000000000000000000000000000004 000010000000000000000000000000000000000000000000000000000000000000000000000000005 000001000000000000000000000000000000000000000000000000000000000000000000000000006 000000100000000000000000000000000000000000000000000000000000000000000000000000007…

This is the questions and answers for the first parts Questions: Using Python  Create a list with building names 'Richard Weeks Hall’, ’Busch Student Center’, ‘Environmental & Natural Resource Sciences Building’  Replace the list to 'Richard Weeks’, ’Busch Student Center’, ‘Environmental & Natural Resource Sciences Bldg’  Code for the total points of each name by setting• The base points as the length of the building name.• The bonus points: as ‘Bldg’ being equal to 10 points Meaning, 'Academic Building' which would be 'Academic Bldg' would have a base point of 13 and a bonus point of 10 for a total of 23. #1 Create a list of buildings Buildings=[ 'Richard Weeks Hall', 'Busch Student Center', 'Environmental & Natural Resource Sciences Building' ] print("The Building names in the list are: ") print(Buildings) #2 Process the name of each building res = [sub.replace(' Hall', '').replace('Building', 'Bldg') for sub in Buildings] print("The names have been replaced to :…

Python

STEP 1: Begin work within your Jupyter Notebook by importing the following modules:     import numpy as np     import pandas as pd     from matplotlib import pyplot as plt     import re Jupyter Notebooks   Q1. Within your Jupyter Notebook, write the code for a Python function called def parseWeatherByYear(year) : This function will parse an html page containing weather for an entire year of data for the city of Toronto. The html pages containing weather data can be downloaded from: https://www.extremeweatherwatch.com/cities/toronto/year-2023 The file to parse for this lab however can be downloaded here: https://matrix.senecacollege.ca/~danny.abesdris/prg550.232/labs/lab6/torontoWeather.2023.html The html file itself contains markers as where to begin parsing the data to extract. The 3 pieces of data that must be extracted consist of the high and low temperatures (in degrees Celsius) as well as the amount of precipitation (in cm) for every day so far in the current year (2023). A series…