"We can use dictionary to store cache items so that our read / write operations will be O(1).
Each time we read or update an existing record, we have to ensure the item is moved to the back of the cache. This will allow us to evict the first item in the cache whenever the cache is full and we need to add new records also making our eviction O(1)
Instead of normal dictionary, we will use ordered dictionary to store cache items. This will allow us to efficiently move items to back of the cache a"
Alfred O. - "We can use dictionary to store cache items so that our read / write operations will be O(1).
Each time we read or update an existing record, we have to ensure the item is moved to the back of the cache. This will allow us to evict the first item in the cache whenever the cache is full and we need to add new records also making our eviction O(1)
Instead of normal dictionary, we will use ordered dictionary to store cache items. This will allow us to efficiently move items to back of the cache a"See full answer
"SELECT
s.Sale_Date,
SUM(si.Quantity * si.SalePrice) AS TotalRevenue
FROM Sales s
JOIN SaleItems si ON s.SaleID = si.Sale_ID
GROUP BY s.Sale_Date
ORDER BY s.Sale_Date;
"
Bala G. - "SELECT
s.Sale_Date,
SUM(si.Quantity * si.SalePrice) AS TotalRevenue
FROM Sales s
JOIN SaleItems si ON s.SaleID = si.Sale_ID
GROUP BY s.Sale_Date
ORDER BY s.Sale_Date;
"See full answer
"WITH filtered_posts AS (
SELECT
p.user_id,
p.issuccessfulpost
FROM
post p
WHERE
p.postdate >= '2023-11-01' AND p.postdate < '2023-12-01'
),
post_summary AS (
SELECT
pu.user_type,
COUNT(*) AS post_attempt,
SUM(CASE WHEN fp.issuccessfulpost = 1 THEN 1 ELSE 0 END) AS post_success
FROM
filtered_posts fp
JOIN
postuser pu ON fp.userid = pu.user_id
GROUP BY
pu.user_type
)
SELECT
user_type,
post_success,
post_attempt,
CAST(postsuccess AS FLOAT) / postattempt AS postsuccessrate
FROM
po"
David I. - "WITH filtered_posts AS (
SELECT
p.user_id,
p.issuccessfulpost
FROM
post p
WHERE
p.postdate >= '2023-11-01' AND p.postdate < '2023-12-01'
),
post_summary AS (
SELECT
pu.user_type,
COUNT(*) AS post_attempt,
SUM(CASE WHEN fp.issuccessfulpost = 1 THEN 1 ELSE 0 END) AS post_success
FROM
filtered_posts fp
JOIN
postuser pu ON fp.userid = pu.user_id
GROUP BY
pu.user_type
)
SELECT
user_type,
post_success,
post_attempt,
CAST(postsuccess AS FLOAT) / postattempt AS postsuccessrate
FROM
po"See full answer
"Here's a simpler solution:
select
u.username
, count(p.postid) as countposts
from posts as p
join users as u
on p.userid = u.userid
where p.likes >= 100
group by 1
order by 2 desc, 1 asc
limit 3
`"
Bradley E. - "Here's a simpler solution:
select
u.username
, count(p.postid) as countposts
from posts as p
join users as u
on p.userid = u.userid
where p.likes >= 100
group by 1
order by 2 desc, 1 asc
limit 3
`"See full answer
"Limit and rank() only works if there are no 2 employees with same salary ( which is okay for this use case)
For the query to pass all the test results, we need to use dense_rank
with ranked_employees as
(
select id, firstname, lastname, salary,
denserank() over(order by salary desc) as salaryrank
from employees
)
select id, firstname, lastname, salary from ranked_employees
where salary_rank <= 3
`"
Vysali K. - "Limit and rank() only works if there are no 2 employees with same salary ( which is okay for this use case)
For the query to pass all the test results, we need to use dense_rank
with ranked_employees as
(
select id, firstname, lastname, salary,
denserank() over(order by salary desc) as salaryrank
from employees
)
select id, firstname, lastname, salary from ranked_employees
where salary_rank <= 3
`"See full answer
"Use a representative of each, e.g. sort the string and add it to the value of a hashmap> where we put all the words that belong to the same anagram together."
Gaston B. - "Use a representative of each, e.g. sort the string and add it to the value of a hashmap> where we put all the words that belong to the same anagram together."See full answer
"we can use two pointer + set like maintain i,j and also insert jth character to set like while set size is equal to our window j-i+1 then maximize our answer and increase jth pointer till last index"
Kishor J. - "we can use two pointer + set like maintain i,j and also insert jth character to set like while set size is equal to our window j-i+1 then maximize our answer and increase jth pointer till last index"See full answer
"How do you find consecutive days for login (MySQL, SQL, date, subquery, MySQL 5.7, development)?
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Trausti Thor Johannsson
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Been using MySQL for more than 16 yearsDec 27
There are functions like DATEDIFF but there are also BETWE"
Hayatu H. - "How do you find consecutive days for login (MySQL, SQL, date, subquery, MySQL 5.7, development)?
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Trausti Thor Johannsson
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Been using MySQL for more than 16 yearsDec 27
There are functions like DATEDIFF but there are also BETWE"See full answer
"SELECT d.name as departmentname,e.id as employeeid,e.firstname,e.lastname,MAX(e.salary) as salary
FROM employees e LEFT JOIN departments d
ON e.department_id=d.id
GROUP BY department_name
ORDER BY department_name;"
Anisha S. - "SELECT d.name as departmentname,e.id as employeeid,e.firstname,e.lastname,MAX(e.salary) as salary
FROM employees e LEFT JOIN departments d
ON e.department_id=d.id
GROUP BY department_name
ORDER BY department_name;"See full answer
"#inplace reversal without inbuilt functions
def reverseString(s):
chars = list(s)
l, r = 0, len(s)-1
while l < r:
chars[l],chars[r] = chars[r],chars[l]
l += 1
r -= 1
reversed = "".join(chars)
return reversed
"
Anonymous Possum - "#inplace reversal without inbuilt functions
def reverseString(s):
chars = list(s)
l, r = 0, len(s)-1
while l < r:
chars[l],chars[r] = chars[r],chars[l]
l += 1
r -= 1
reversed = "".join(chars)
return reversed
"See full answer
"SELECT
u.user_id,
u.user_name,
u.email,
ROUND(AVG(CASE WHEN b.status = 'Unmatched' THEN 1.0 ELSE 0 END), 2) AS avgunmatchedbookings
FROM
users u
LEFT JOIN
bookings b ON u.userid = b.userid
GROUP BY
u.user_id,
u.user_name,
u.email;
`"
Akshay D. - "SELECT
u.user_id,
u.user_name,
u.email,
ROUND(AVG(CASE WHEN b.status = 'Unmatched' THEN 1.0 ELSE 0 END), 2) AS avgunmatchedbookings
FROM
users u
LEFT JOIN
bookings b ON u.userid = b.userid
GROUP BY
u.user_id,
u.user_name,
u.email;
`"See full answer
"Missing Item - User ordered multiple items, few items are missing
Wrong Item - Entire order is wrong / there are items in the order that were never ordered
How is this measured ?
CSAT
Missing Items
Wrong Items
Step 1 :
Collect data on orders that reported missing / wrong items. Dive deep to understand if the problem is isolated to a specific metro/zip code/restaurant type (say fast food vs fine dine), time of day (lunch vs dinner), tenure of the courier on th"
Saurabh K. - "Missing Item - User ordered multiple items, few items are missing
Wrong Item - Entire order is wrong / there are items in the order that were never ordered
How is this measured ?
CSAT
Missing Items
Wrong Items
Step 1 :
Collect data on orders that reported missing / wrong items. Dive deep to understand if the problem is isolated to a specific metro/zip code/restaurant type (say fast food vs fine dine), time of day (lunch vs dinner), tenure of the courier on th"See full answer
"What do all data scientists need to know about how to work with very large datasets?
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Corrin Lakeland
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, M.S. Data Science, University of St. Thomas, St. Paul (2018)6yData Science consultant and managerUpvoted by[Tom Halloin](https://www.quora"
Hayatu H. - "What do all data scientists need to know about how to work with very large datasets?
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Corrin Lakeland
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, M.S. Data Science, University of St. Thomas, St. Paul (2018)6yData Science consultant and managerUpvoted by[Tom Halloin](https://www.quora"See full answer