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Kaylis [27]
3 years ago
8

For electronically deposited funds, such as an employee's direct deposit, when must banks make those funds available to the empl

oyee? the next calendar day within one week Immediately the next business day
Computers and Technology
1 answer:
Kazeer [188]3 years ago
6 0
I'm in computers class and I would say
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A laptop computer is smaller than desktop computer. True or false
alina1380 [7]

Answer:

true

Explanation:

4 0
3 years ago
Read 2 more answers
Assignment Background Video games have become an outlet for artists to express their creative ideas and imaginations and a great
Sphinxa [80]

Answer:

Code

import csv

def open_file():

try:

fname=input("Enter the filename to open (xxx.yyy): ")

fp=open(fname,encoding='utf-8')

return fp

except FileNotFoundError:

print("File not found! Please Enter correct filename with extension")

return open_file()

def read_file(fp):

fields = []

rows = []

csvreader = list(csv.reader(fp))

# skiped 1 row because it contains field name

fields = csvreader[0]

D1={}

D2={}

D3={}

# accessing the data of csv file

for line in csvreader[1:]:

name = line[0].lower().strip()

platform = line[1].lower().strip()

if line[2]!='N/A':

year = int(line[2])

else:

year=line[2]

genre = line[3].lower().strip()

publisher = line[4].lower().strip()

na_sales = float(line[5])

eur_sales = float(line[6])

jpn_sales = float(line[7])

other_sales = float(line[8])

global_sales=(na_sales+eur_sales+jpn_sales+other_sales)*1000000

if name not in D1:

D1[name]=[]

D1[name].append((name, platform, year, genre, publisher,global_sales))

if genre not in D2:

D2[genre]=[]

D2[genre].append((genre, year, na_sales, eur_sales,jpn_sales, other_sales, global_sales))

if publisher not in D3:

D3[publisher]=[]

D3[publisher].append((publisher, name, year, na_sales,eur_sales, jpn_sales, other_sales, global_sales))

# sorting

temp={}

# sorting keys

for Keys in sorted (D1) :

ls=D1[Keys]

ls=sorted(ls,key=lambda x: x[-1]) # sorting values

temp[Keys]=ls

D1=temp.copy()

temp={}

# sorting keys

for Keys in sorted (D2) :

ls=D2[Keys]

ls=sorted(ls,key=lambda x: x[-1]) # sorting values

temp[Keys]=ls

D2=temp.copy()

temp={}

# sorting keys

for Keys in sorted (D3) :

ls=D3[Keys]

ls=sorted(ls,key=lambda x: x[-1]) # sorting values

temp[Keys]=ls

D3=temp.copy()

return D1,D2,D3

 

def main():

fp=open_file()

D1,D2,D3=read_file(fp)

# displaying the row_count in dictionaries

cnt=0

for d in D1:

cnt+=1

print(cnt)

print("\n\n=============================================\n\n")

cnt=0

for d in D2:

cnt+=1

print(cnt)

print("\n\n=============================================\n\n")

cnt=0

for d in D3:

cnt+=1

print(cnt)

print("\n\n=============================================\n\n")

 

 

if __name__=="__main__":

main()

Explanation:

see code and see output attached

7 0
3 years ago
Dani is paraphrasing from a paragraph of an article for a post on her blog. Which of the following strategies is least likely to
koban [17]
I would say A. She reads the entire paragraph, then rewrites it in her own words, and then checks to make sure her version is not too similar to the text from the article.


All the other ones are a little too obvious.


Hope this helps you, baii <33

4 0
3 years ago
Read 2 more answers
PLZZZZ HELPPP and please don’t send a link , Explain how the processing stage contributes to a computer creating an output.
-Dominant- [34]
The output/interpretation stage is the stage at which data is finally usable to non-data scientists. It is translated, readable, and often in the form of graphs, videos, images, plain text, etc.).
3 0
3 years ago
Line 9 and 10
Reika [66]

Answer:

22,332

Explanation:

The taxable income :

Line 8 = Standard deduction or itemized deduction

Line 9 = Qualified business income deduction

Line 7 = Adjusted gross income

Taxable income = Adjusted gross income - (Qualified business income deduction + standard deduction)

Taxable income = 34732 - (12400 + 0)

Taxable income = 34732 - 12400

Taxable income = 22,332

4 0
2 years ago
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