Write the python program to display the following: Open and read the countrycities.csv file. Count and display the number of cities per country. Count and display the country which is a member of the EU (EU = yes) and not a member of the EU (EU = no). Find and display the country with the highest and lowest total population. Count and display the country with a coastline (coastline = yes) and without a coastline (coastline = no)
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Write the python program to display the following:
- Open and read the countrycities.csv file.
- Count and display the number of cities per country.
- Count and display the country which is a member of the EU (EU = yes) and not a member of the EU (EU = no).
- Find and display the country with the highest and lowest total population.
- Count and display the country with a coastline (coastline = yes) and without a coastline (coastline = no)
https://drive.google.com/file/d/1eDxxA8kHGyQqqCP-3ytQbjtttbm5dUjI/view?usp=sharing
NOTE: Don't use pandas
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- Write the python program to display the following: Open and read the countrycities.csv file. Count and display the number of cities per country. Count and display the country which is a member of the EU (EU = yes) and not a member of the EU (EU = no). Find and display the country with the highest and lowest total population. Count and display the country with a coastline (coastline = yes) and without a coastline (coastline = no) https://drive.google.com/file/d/1eDxxA8kHGyQqqCP-3ytQbjtttbm5dUjI/view?usp=sharingWrite the python program to display the following: Open and read the countrycities.csv file. Count and display the number of cities per country. Count and display the country which is a member of the EU (EU = yes) and not a member of the EU (EU = no). Find and display the country with the highest and lowest total population. Count and display the country with a coastline (coastline = yes) and without a coastline (coastline = no) https://drive.google.com/file/d/1eDxxA8kHGyQqqCP-3ytQbjtttbm5dUjI/view?usp=sharing NOTE: Use only "Import CSV" Don't use pandas/anythingWrite the python program using only the import CSV to display the following: Count and display the number of cities per country. Count and display the country which is a member of the EU (EU = yes) and not a member of the EU (EU = no). Find and display the country with the highest and lowest total population. Count and display the country with a coastline (coastline = yes) and without a coastline (coastline = no) https://drive.google.com/file/d/1eDxxA8kHGyQqqCP-3ytQbjtttbm5dUjI/view?usp=sharing NOTE: DON'T USE ANY DIFFERENT MODULE, JUST IMPORT CSV
- Write a python program that will open the file dataFile.csv, read its contents and print them out. Your output should look like this: First Last Age Wagejane Smith 21.00 21.50Jack Jones 20.00 19.50Edgar Martinez 22.00 22.75Zanab Sayegh 21.00 21.75Write a program that will open the file dataFile.csv Download dataFile.csv, read its contents and print them out. Your output should look like this: First Last Age Wagejane Smith 21.00 21.50Jack Jones 20.00 19.50Edgar Martinez 22.00 22.75Zanab Sayegh 21.00 21.75How do I create a Python program where get request to / should return index.html, get request to /yourname should return the personal file and post request to /comment should prase the data from the post request body and send the text data back to the client?
- python: Write a program that will open the file dataFile.csv Download dataFile.csv, read its contents and print them out. Your output should look like this: First Last Age Wagejane Smith 21.00 21.50Jack Jones 20.00 19.50Edgar Martinez 22.00 22.75Zanab Sayegh 21.00 21.75Write a program that reads the user's first name and last name, and then use them to create a UPM email for the user. If the total number of characters in the user's full name, (first name + last name), is less than 10 letters, you should use the full name to create the user’s email. The general format of the user’s email should look like this: firstName.lastName@upm.edu.sa For example: First name = Ali Last name = Omar Total number of letters in both first and last names = 7 letters (<10 letters) Output = omar.ali@upm.edu.sa If the number of characters in the user's full name, (first name + last name), is greater than or equal to 10 letters, you should only use the first character in the user’s first name, and the whole last name to create an email. For example: First name = Abdullah Last name = Omar Total number of letters in both first and last names = 12 letters (>=10 letters) Output = a.omar@upm.edu.sa Note: you can assume the user will always enter lowercase lettersIn python. Please do not copy elsewhere as it is all incorrect, and include docstring so that I can understand the information. Thanks. import the **json** module.Write a class named SatData that reads a [JSON file containing data on 2010 SAT results for New York City](https://data.cityofnewyork.us/api/views/zt9s-n5aj/rows.json?accessType=DOWNLOAD) and writes the data to a text file in CSV format. That same JSON file will be provided as a local file in Gradescope named **sat.json**. Your code does not need to access the internet.CSV is a very simple format - just commas separating columns and newlines separating rows (see note below about commas that are part of field names). You'll see an example of CSV format below. There is a csv module for Python, but you will not use it for this project.Your class should have:* an init method that reads the file and stores it in whatever data member(s) you prefer. Any data members of the SatData class must be **private**.* a method named…
- Complete the Python program below to download and display the content below. import requests# response = requests.get("https://en.wikipedia.org/robots.txt")response = requests.get("https://en.wikipedia.org/wiki/MediaWiki:Robots.txt")test = #TO DO -- Complete the Codeprint("robots.txt for http://www.wikipedia.org/")in python Read a give “data.csv” file, analyze the data, write the analysis result to “report.txt” file : in the report.txt file: include information of:1). How many rows in this dataset, for example: “This dataset has 10 rows”2). How many columns in this dataset, for example:”This dataset has 3 col-umns.”3). What are the name for the columns, print the all the column names, for example, “The 3 columns are: name,age,gpa”4). How many numeric column(s), for example, “ This dataset has 2 numericcolumns, they are age, and gpa”5). The mean (avarage) of each column, for example, “The means are: mean1, mean2 data.csv name,age,gpa john,18,3.0 mary,19,3.5 bob,17,2.7 jeffery,18,3.25 nick,16,3.7 tyler,20,3.3 joe,18,2.0 randall,19,1.7 david,21,4.0 ellen,22,3.9In Python, Given the grades.csv file, where hours = [15,7,8,7.3,19.1,17,14,9.3,4.3,8,12.4,9,6,7.5], and grades = [94,86,87,100,96,94,90,79,88,91,90,86,88,89]. The first column is hours studied and the second column is grades, read its data and place them into two numpy arrays. Find the regression line using the built-in linregress() method. Plot the data points along with the regression line and print: slope, y-intercept, r (correlation coefficient), p-value, standard error. Predict a student’s grade given 10.5 hours of study''' xhours = [ ] yhours = [ ]