Answer:
D. Learn the different types of hardware.
Explanation:
When Lyla is a computer repair simulator, she is learning the different types of hardware. After she has learned most of the types of hardware, she can repair her computer.
hope this helped.
Answer:
#Function for the calculcations needed
function subtotal_gratuity_total(subtotal,gratuity_rate):
gratuity_rate = gratuity_rate/100 #this is assuming the user enters the gratuity as a percentage value (e.g. 15)
gratuity = subtotal*gratuity_rate
total = subtotal+gratuity
return subtotal, gratuity_rate, gratuity, total
#Reading the values the user enters
Output(“Input subtotal”)
input (subtotal)
Output(“Input gratuity rate”)
input (gratuity_rate)
#Calling function we created with the values the user enters as inputs,
#and the 4 values required as outputs
subtotal,gratuity_rate,gratuity, total = subtotal_gratuity_total(subtotal,gratuity_rate)
The available options are:
A. In the same folder
B. Where ever is fine
C. In different folders
Answer:
A. In the same folder
Explanation:
Given that a website normally has a folder that contains each pages, images and pictures. It is expected that a website administrator keep all the files of the website in a separate folder that can be easily accessed in situation where there is need to make any form of modification to the website from the back end.
Hence, the appropriate place a website administrator should save all items for the same website is "In the same folder"
Answer:
import pandas as pd
df = pd.read_csv('nycHistPop_csv', skiprows=5)
NY_region = list(df.columns[1: -1])
select_region = input("Enter region: ")_capitalize()
if select_region in NY_region:
pass
else:
raise("Region must be in New york")
def pop(location):
# or used describe() to replace all like: print(df[location]_describe())
print(df[location]_min())
print(df[location]_max())
print(df[location]_mean())
print(df[location]_median())
print(df[location]_td())
pop(select_region)
Explanation:
Pandas is a python packet that combines the power of numpy and matplotlib used for data manipulation. It is good for working with tables that are converted to dataframes.
The nycHistPop_csv file is read to the code to a dataframe called "df", then the user input and the function "pop" is used to automatically generate the statistics of a given region.
