Python: using Beautifulsoup, Pandas and Numpy, Bronx Community College 2019-2020 Men's Basketball Roster https://bronxbroncos.com/sports/mens-basketball/roster Hostor Community College 2019-2020 Men's Basketball Roster https://hostosathletics.com/sports/mens-basketball/roster Scrape data and compile a dataframe of all the names and heights of the players on the men’s Basketball team Find the average height in centimeter each of the 2 dataframes (so you should have 2 averages in total) List the names and the heights of the 5 tallest and the 5 shortest players on each team.
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Python: using Beautifulsoup, Pandas and Numpy,
Bronx Community College 2019-2020 Men's Basketball Roster
https://bronxbroncos.com/sports/mens-basketball/roster
Hostor Community College 2019-2020 Men's Basketball Roster
https://hostosathletics.com/sports/mens-basketball/roster
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Scrape data and compile a dataframe of all the names and heights of the players on the men’s Basketball team
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Find the average height in centimeter each of the 2 dataframes (so you should have 2 averages in total)
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List the names and the heights of the 5 tallest and the 5 shortest players on each team.
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- PYTHON CODE Using Artists.csv (link below), write a query that returns all lines that are female artists only, with begin date greater than 1950 but no greater than 2000 Write a query that will return all lines of British Male artists, who's first names starts with the letter ‘A’ and has an end date earlier than 1990 Write a query that will write to a file all lines that have Japanese Artists who’s difference of end date and begin date exceeds 100 years. I.e. if artist begins in 1900 and ends in 2005, then they would be included in the output (2005-1900 = 105 years) Write a query that will write and find to a file the artist who’s been at the Museum the longest (the widest gap between Begin Date and End Date) Artists.csv: https://media.githubusercontent.com/media/MuseumofModernArt/collection/master/Artists.csvcomplete the data system for citywide taxi company. now, the information for each taxi is expanded to include: taxi id (such as ctc0001), the driver’s name, the maker of the car (such as ford), the model of the car (such as escape), the color of the car (such as black), the license number (such as hxt 4578), the number of passages the car served in the entire shift (integer type, this field will be left empty for this project). your c++ program will (with array of class object): define a class for the car with all members of variable mentioned above as private; write all necessary class member functions to access those member variables (write or read); read up to 50 records of data from the keyboard (provide a method to end the input before reaching 50 records); (1 points) save all records inputted from step 3 to a disk file called ctc.dat. In cppusing the data set from the link: https://www.kaggle.com/osmi/mental-health-in-tech-survey?select=survey.csv Write Python code to return the following data:• Select all rows where the Age is less than 1• Select all rows where the Age is greater than 99
- complete the data system for citywide taxi company. now, the information for each taxi is expanded to include: taxi id (such as ctc0001), the driver’s name, the maker of the car (such as ford), the model of the car (such as escape), the color of the car (such as black), the license number (such as hxt 4578), the number of passages the car served in the entire shift (integer type, this field will be left empty for this project). your c++ program will (with array of class object): define a class for the car with all members of variable mentioned above as private; write all necessary class member functions to access those member variables (write or read); ) read up to 50 records of data from the keyboard (provide a method to end the input before reaching 50 records); save all records inputted from step 3 to a disk file called ctc.dat.Using Pandas library in python - Calculate student grades project Pandas is a data analysis library built in Python. Pandas can be used in a Python script, a Jupyter Notebook, or even as part of a web application. In this pandas project, you’re going to create a Python script that loads grade data of 5 to 10 students (a .csv file) and calculates their letter grades in the course. The CSV file contains 5 column students' names, score in-class participation (5% of final grade), score in assignments (20% of final grade), score in discussions (20% of final grade), score in the mid term (20% of final grade), score in final (25% of final grade). Create the .csv file as part of the project submission Program Output This will happen when the program runs Enter the CSV file Student 1 named Brian Tomas has a letter grade of B+ Student 2 named Tom Blank has a letter grade of C Student 3 named Margo True has a letter grade of A Student 4 named David Atkin has a letter grade of B+ Student 5 named…omplete the python code Find the mean, median, and mode of the column wt. Print the mean, median, and mode Ex: for the column qsec, the output would be: mean = 17.84875, median = 17.710, mode = 0 17.02 1 18.90 dtype: float64 import pandas as pd df = pd.read_csv('mtcars.csv') mean = # find the mean of the column wt median = # find the median of the column wt mode = #find the mode of the column wt print("mean = {:.5f}, median = {:.3f}, mode = {}".format(mean, median, mode))
- Use Python Code Your task is : Use pandas to read the csv table . Example : df = pd.read_csv('Covid19Recovered.csv') . Then use the dataframe to make a visualization of the number of recovered patients using matplotlib, seaborn , etc . Just ignore lat and long. Covid-19 Recovered table (csv): Province/State Country/Region Lat Long ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## 2/1/2020 2/2/2020 2/3/2020 2/4/2020 2/5/2020 2/6/2020 2/7/2020 2/8/2020 2/9/2020 ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## 3/1/2020 3/2/2020 3/3/2020 3/4/2020 3/5/2020 3/6/2020 3/7/2020 3/8/2020 3/9/2020 ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## 4/1/2020 4/2/2020 4/3/2020…Use Python Code Your task is : Number of reported COVID-19 deaths by country. (Use pandas to read the csv table. Example : df = pd.read_csv('Covid19Deaths.csv') then do the code using the dataframe) COVID-19 Deaths table (csv): Province/State Country/Region Lat Long ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## 2/1/2020 2/2/2020 2/3/2020 2/4/2020 2/5/2020 2/6/2020 2/7/2020 2/8/2020 2/9/2020 ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## 3/1/2020 3/2/2020 3/3/2020 3/4/2020 3/5/2020 3/6/2020 3/7/2020 3/8/2020 3/9/2020 ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## 4/1/2020 4/2/2020 4/3/2020 4/4/2020 4/5/2020 4/6/2020 4/7/2020 Afghanistan 33 65 0 0 0 0 0 0 0 0…The file london_weather.csv contains weather data for the years 1979 to 2020. The first five lines of this file are: date,cloud_cover,sunshine,global_radiation,max_temp,mean_temp,min_temp,precipitation,pressure,snow_depth19790101,2,7,52,2.3,-4.1,-7.5,0.4,101900,919790102,6,1.7,27,1.6,-2.6,-7.5,0,102530,819790103,5,0,13,1.3,-2.8,-7.2,0,102050,419790104,8,0,13,-0.3,-2.6,-6.5,0,100840,2 Note, in particular, that the dates are given as eight-digit integers in the format YYYYMMDD. There appears to be some inconsistencies in this data, as there are rows for which the column max_temp contains an entry that is smaller than the corresponding entry in min_temp. Write a Python function wrong_temperature(year) that returns the number of days in a given year for which the column max_temp contains an entry that is smaller than the corresponding entry in the column min_temp.
- Python Panda DataFrme Use this file: names.txt Write a Python script that reads this file into a dataframe. Find the max and min age. Using the loc indexing operator, extract rows 2 & 3 ## Screenshot of names.txt attachedUse Python Code Your task is : Visualization of confirmed cases of COVID-19 by country . (Use pandas to read the data table csv. Example df = pd.read_csv('COVID19.csv' ) then make a visualization using that csv table) Province/State Country Lat Long ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## 2/1/2020 2/2/2020 2/3/2020 2/4/2020 2/5/2020 2/6/2020 2/7/2020 2/8/2020 2/9/2020 ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## 3/1/2020 3/2/2020 3/3/2020 3/4/2020 3/5/2020 3/6/2020 3/7/2020 3/8/2020 3/9/2020 ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## ######## 4/1/2020 4/2/2020 4/3/2020 4/4/2020 4/5/2020 4/6/2020 4/7/2020 Afghanistan 33 65 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0…JAVA Script Create a form that has a last name, a first name, an email address, a drop-down listing of 10 cities in Massachusetts. The list is to be sorted (hint: think array), an email address, and a zip code field. Each field is to be process through a validation function. You may use one function for each but if you are creative you should be able to use just one function. The drop-down listing will not require validation because they will be choosing from a list that you are providing. This input from must be styled and show an effect to the user as to which field that are currently providing input.