"-- Write your query here
select
count(distinct o.customer_id) as customers,
d.department_name
from orders o
join departments d using (department_id)
where extract(year from o.order_date) = 2022
and d.department_name in ('Electronics', 'Fashion')
group by 2;
`"
Anonymous Roadrunner - "-- Write your query here
select
count(distinct o.customer_id) as customers,
d.department_name
from orders o
join departments d using (department_id)
where extract(year from o.order_date) = 2022
and d.department_name in ('Electronics', 'Fashion')
group by 2;
`"See full answer
"def traprainwater(height: List[int]) -> int:
n = len(height)
totalwaterlevel = 0
for i in range(n):
j = i+1
while j = n:
break
rows = j - i -1
intrwaterlevel = min(height[j], height[i]) * rows
for k in range(i+1, j):
intrwaterlevel -= height[k]
totalwaterlevel += intrwaterlevel
i = j
return totalwaterlevel"
Manoj R. - "def traprainwater(height: List[int]) -> int:
n = len(height)
totalwaterlevel = 0
for i in range(n):
j = i+1
while j = n:
break
rows = j - i -1
intrwaterlevel = min(height[j], height[i]) * rows
for k in range(i+1, j):
intrwaterlevel -= height[k]
totalwaterlevel += intrwaterlevel
i = j
return totalwaterlevel"See full answer
"select a.playername as player1, b.playername as player2,
abs(a.level-b.level) as level_disparity
from players a
cross join players b
on a.playername < b.playername
where abs(a.level-b.level) <=5
order by level_disparity
`"
Gowtami K. - "select a.playername as player1, b.playername as player2,
abs(a.level-b.level) as level_disparity
from players a
cross join players b
on a.playername < b.playername
where abs(a.level-b.level) <=5
order by level_disparity
`"See full answer
"The question is incomplete --- the code only passes if you return the data frame sorted by BOTH department name AND rank. While in the problem description, it mentions to only rank by department name: "The results should be ordered by department name."
Not a big difference I know, but students shouldn't need to look into the solution to get the necessary knowledge to answer the question."
Chao peter Y. - "The question is incomplete --- the code only passes if you return the data frame sorted by BOTH department name AND rank. While in the problem description, it mentions to only rank by department name: "The results should be ordered by department name."
Not a big difference I know, but students shouldn't need to look into the solution to get the necessary knowledge to answer the question."See full answer
"Less efficient version, yet effective for the interview:
def is_palindrome(s: str) -> bool:
dim = len(s)
if dim str:
dim = len(s)
if dim < 2:
return s
left = 0
longest = ""
while left < dim:
righ"
Gabriele G. - "Less efficient version, yet effective for the interview:
def is_palindrome(s: str) -> bool:
dim = len(s)
if dim str:
dim = len(s)
if dim < 2:
return s
left = 0
longest = ""
while left < dim:
righ"See full answer
"Make current as root.
2 while current is not null,
if p and q are less than current,
go left.
If p and q are greater than current,
go right.
else return current.
return null"
Vaibhav D. - "Make current as root.
2 while current is not null,
if p and q are less than current,
go left.
If p and q are greater than current,
go right.
else return current.
return null"See full answer
"
import pandas as pd
from datetime import datetime
def findfastestlike(log: pd.DataFrame) -> pd.DataFrame:
log=log.sortvalues(['userid','timestamp'])
#get the prev event, time by user
log['prevevent'] = log.groupby('userid')['event'].shift(1)
log['prevtimestamp'] = log.groupby('userid')['timestamp'].shift(1)
True only on rows where the previous event was a login
and the current event is a like
log['loginlike'] = (log['prevevent'] == 'log"
Sean L. - "
import pandas as pd
from datetime import datetime
def findfastestlike(log: pd.DataFrame) -> pd.DataFrame:
log=log.sortvalues(['userid','timestamp'])
#get the prev event, time by user
log['prevevent'] = log.groupby('userid')['event'].shift(1)
log['prevtimestamp'] = log.groupby('userid')['timestamp'].shift(1)
True only on rows where the previous event was a login
and the current event is a like
log['loginlike'] = (log['prevevent'] == 'log"See full answer
"def countuniqueoutfits(totalpants: int, uniquepants: int,
totalshirts: int, uniqueshirts: int,
totalhats: int, uniquehats: int) -> int:
"""
Number of unique outfits can simply be defined by
(uniquepantschoose1uniqueshirtschoose1uniquehatschoose_1)
(uniquepantschoose1*uniqueshirtschoose1) # Not wearing a hat
nchoosek is n
"""
res = (uniquepants*uniqueshirtsuniquehats) + (uniquepantsunique_shirts)
return res
print(countuniqueoutfits(2, 1, 1, 1, 3, 2))"
Sai R. - "def countuniqueoutfits(totalpants: int, uniquepants: int,
totalshirts: int, uniqueshirts: int,
totalhats: int, uniquehats: int) -> int:
"""
Number of unique outfits can simply be defined by
(uniquepantschoose1uniqueshirtschoose1uniquehatschoose_1)
(uniquepantschoose1*uniqueshirtschoose1) # Not wearing a hat
nchoosek is n
"""
res = (uniquepants*uniqueshirtsuniquehats) + (uniquepantsunique_shirts)
return res
print(countuniqueoutfits(2, 1, 1, 1, 3, 2))"See full answer