"We are asked to calculate Sum(over value) for time in (t - window_size, t) where key in (key criteria).
To develop a function to set this up.
Let w be the window size. I would have an observer of some kind note the key-value, and for the first w windows just add the value to a temporary variable in memory if the key meets the key criteria. Then it would delete the oldest value and add the new value if the new key meets the criteria. At each step after "w", we would take the sum / w and store"
Prashanth A. - "We are asked to calculate Sum(over value) for time in (t - window_size, t) where key in (key criteria).
To develop a function to set this up.
Let w be the window size. I would have an observer of some kind note the key-value, and for the first w windows just add the value to a temporary variable in memory if the key meets the key criteria. Then it would delete the oldest value and add the new value if the new key meets the criteria. At each step after "w", we would take the sum / w and store"See full answer
"WITH suspicious_transactions AS (
SELECT
c.first_name,
c.last_name,
t.receipt_number,
COUNT(t.receiptnumber) OVER (PARTITION BY c.customerid) AS noofoffences
FROM
customers c
JOIN
transactions t ON c.customerid = t.customerid
WHERE
t.receipt_number LIKE '%999%'
OR t.receipt_number LIKE '%1234%'
OR t.receipt_number LIKE '%XYZ%'
)
SELECT
first_name,
last_name,
receipt_number,
noofoffences
FROM
suspicious_transactions
WHERE
noofoffences >= 2;"
Jayveer S. - "WITH suspicious_transactions AS (
SELECT
c.first_name,
c.last_name,
t.receipt_number,
COUNT(t.receiptnumber) OVER (PARTITION BY c.customerid) AS noofoffences
FROM
customers c
JOIN
transactions t ON c.customerid = t.customerid
WHERE
t.receipt_number LIKE '%999%'
OR t.receipt_number LIKE '%1234%'
OR t.receipt_number LIKE '%XYZ%'
)
SELECT
first_name,
last_name,
receipt_number,
noofoffences
FROM
suspicious_transactions
WHERE
noofoffences >= 2;"See full answer
"SELECT d.departmentname,SUM(o.orderamount) AS total_revenue FROM orders o
JOIN departments d
ON
d.departmentid =o.departmentid
WHERE o.orderdate >= CURRENTDATE - INTERVAL '12 months'
GROUP BY d.department_name
ORDER BY total_revenue DESC;
`"
Derrick M. - "SELECT d.departmentname,SUM(o.orderamount) AS total_revenue FROM orders o
JOIN departments d
ON
d.departmentid =o.departmentid
WHERE o.orderdate >= CURRENTDATE - INTERVAL '12 months'
GROUP BY d.department_name
ORDER BY total_revenue DESC;
`"See full answer
Data Scientist
Coding
+1 more
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"virtual function is a member function declared with virtual keyword in a base class. It enables derived classes to redefine this function with their own specific implementations."
Sonia M. - "virtual function is a member function declared with virtual keyword in a base class. It enables derived classes to redefine this function with their own specific implementations."See full answer
"Bitshift the number to the right and keep track of the 1's you encounter. If you bitshift it completely and only encounter one 1, it is a power of two."
Nils G. - "Bitshift the number to the right and keep track of the 1's you encounter. If you bitshift it completely and only encounter one 1, it is a power of two."See full answer
"SELECT upsellcampaignid, COUNT(DISTINCT trans.userid) AS eligibleusers
FROM campaign
JOIN "transaction" AS trans
ON transactiondate BETWEEN datestart AND date_end
JOIN user
ON trans.userid = user.userid
WHERE iseligibleforupsellcampaign = 1
GROUP BY upsellcampaignid
`"
Alina G. - "SELECT upsellcampaignid, COUNT(DISTINCT trans.userid) AS eligibleusers
FROM campaign
JOIN "transaction" AS trans
ON transactiondate BETWEEN datestart AND date_end
JOIN user
ON trans.userid = user.userid
WHERE iseligibleforupsellcampaign = 1
GROUP BY upsellcampaignid
`"See full answer
"Function that is passed as an argument or parameter to another function and it gets executed when the function that it is passed to gets executed"
Susmita S. - "Function that is passed as an argument or parameter to another function and it gets executed when the function that it is passed to gets executed"See full answer
"Construct a min-heap either inplace, or by making a copy of the array and then applying heapify on that copy. This is done in O(n) time.
Maintain two zero-initialised variables - sum and count.
Keep popping off the heap while sum < k, and update count.
In the worst case you will have to do n pops, and each pop is O(log n), so the algorithm would take O(n log n) in total. Space complexity depends on whether you're allowed to modify inplace or not, so either O(1) or O(n) respectively."
Anonymous Wolf - "Construct a min-heap either inplace, or by making a copy of the array and then applying heapify on that copy. This is done in O(n) time.
Maintain two zero-initialised variables - sum and count.
Keep popping off the heap while sum < k, and update count.
In the worst case you will have to do n pops, and each pop is O(log n), so the algorithm would take O(n log n) in total. Space complexity depends on whether you're allowed to modify inplace or not, so either O(1) or O(n) respectively."See full answer
"
O(n) time, O(1) space
from typing import List
def maxsubarraysum(nums: List[int]) -> int:
if len(nums) == 0:
return 0
maxsum = currsum = nums[0]
for i in range(1, len(nums)):
currsum = max(currsum + nums[i], nums[i])
maxsum = max(currsum, max_sum)
return max_sum
debug your code below
print(maxsubarraysum([-1, 2, -3, 4]))
`"
Rick E. - "
O(n) time, O(1) space
from typing import List
def maxsubarraysum(nums: List[int]) -> int:
if len(nums) == 0:
return 0
maxsum = currsum = nums[0]
for i in range(1, len(nums)):
currsum = max(currsum + nums[i], nums[i])
maxsum = max(currsum, max_sum)
return max_sum
debug your code below
print(maxsubarraysum([-1, 2, -3, 4]))
`"See full answer