다 Solve this Computer science assignment 2 given in the drive link, if there is any problem in link then please comment, do not waste my question. Request for access. https://drive.google.com/file/d/1RQ2OZk- LSxpRyejKEMg1t2ql5dbpVLCS/view?usp=sharing
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- https://github.com/CSU-CS150B/CS150B-Lab-Instructions/blob/main/NBAPractical.md https://docs.google.com/spreadsheets/d/1JodpSrqg4y8To8-EGos9x1WtggSX9SLZOtuApQwgYlM/edit?usp=sharing import csv # These are used to help you manage the CSV please do not change!input_handler = { "field goal": 10, "3 point": 13, "2 point": 16, "free throw": 20} # This code assigns index_stat to the index of whatever value you enter.index_stat = -9999 # _______Begin student work after this line________ # These variables can be used to track the index of of certain values in the csv. # Use if you want.# index_name = ?# index_age = ?# index_team = ? # Goal: take in a string containing a file name -> return a list of lists from a csv reader objectdef read_csv(filename): pass # Goal: take in a team name and the dataset -> return a list of lists containing only player from the # specified team.def filter_data(team_name, data): pass # For a given statistic find the player with the highest…https://github.com/CSU-CS150B/CS150B-Lab-Instructions/blob/main/NBAPractical.md https://docs.google.com/spreadsheets/d/1JodpSrqg4y8To8-EGos9x1WtggSX9SLZOtuApQwgYlM/edit?usp=sharing import csv # These are used to help you manage the CSV please do not change!input_handler = { "field goal": 10, "3 point": 13, "2 point": 16, "free throw": 20} # This code assigns index_stat to the index of whatever value you enter.index_stat = -9999 # _______Begin student work after this line________ # These variables can be used to track the index of of certain values in the csv. # Use if you want.# index_name = ?# index_age = ?# index_team = ? # Goal: take in a string containing a file name -> return a list of lists from a csv reader objectdef read_csv(filename): pass # Goal: take in a team name and the dataset -> return a list of lists containing only player from the # specified team.def filter_data(team_name, data): pass # For a given statistic find the player with the highest…Please help with the 1 Python question Data File: https://docs.google.com/spreadsheets/d/1-S_xnAQXa1QCoWQt7xyvxo42XRNC1QBd/edit?usp=sharing&ouid=112107649557425878726&rtpof=true&sd=true %%capture############################################################## EXECUTE THIS CELL BEFORE YOU TO TEST YOUR SOLUTIONS ##############################################################import imp, os, syssol = imp.load_compiled("solutions", "./solutions.py")sol.get_solutions("imdb.xlsx")from nose.tools import assert_equalfrom pandas.util.testing import assert_frame_equal, assert_series_equal # Loading the dataimport pandas as pdimport numpy as np xls = pd.ExcelFile('imdb.xlsx')df = xls.parse('imdb')df_directors = xls.parse('directors')df_countries = xls.parse('countries') df = pd.merge(left=df, right=df_countries, how='inner', left_on='country_id', right_on='id') df = pd.merge(left=df, right=df_directors, how='inner', left_on='director_id',…
- PLEASE ANSWER 1ST-3RD QUESTION https://docs.google.com/document/d/1rYknydXgp4rdO69Y4x-Oy_Jg3hG0_watQi8IRQ3_JbY/edit?usp=drivesdkEstem.org/courses/64525/assignments/9460783?module_item_id=18078917 The following information can help you get started: • Invitation Details: it boils down to when and where o When: Time and date • Where: Address • Invitee List: Name and email • Name: First Name, or First Name and Last Name Email: Email address . Other considerations: After you complete your invitation, answer the following questions: 1. What type of data are time, date, and place? How are they different from the other data types on the invite and guest list? F4 A Additional information worth including: dress code, directions, gifting, how to contact you. . How will you know who is showing up? RSVP? . Is there a theme to your invitation/design? x F5 % F6 F7 DELL F8 F9 ROMNA F10 F11 PrtScrPS5: Webscraping Suggested Solutions Import BeautifulSoup, json, requesrts, and pandas. In [ ]: from bs4 import BeautifulSoup import pandas as pd import requests import re import json IMDB top 50 rated films. The following URL, https://www.imdb.com/search/title/?groups=top_250&sort=user_rating, is a link to the top 50 rated films on IMDB. Create a pandas DataFrame with three columns: Title, Year, and Rating, pulling the data from the webpage. We can do this in steps. First, get the HTML code that generated the webpage. In [ ]: Using the "Inspect Element" tool in a browser, see that each film is displayed in a DIV with the class lister-item. Use BS to find all such elements and store them in a list called films. Then, create a list of the title of each film. Notice, by inspecting the HTML, that the title is contained inside of a tag (a link) that is itself inside of a DIV with class lister-item-content . That is, for each film in the list films, find the div with the class…
