"Required output in the solution not the one requested from the question. only customerid, firstname, last_name and years were required. Please this needs to be very clear.
Otherwise my answer is
with totalorderyear as (
SELECT
o.customer_id,
c.first_name,
c.last_name,
EXTRACT(YEAR FROM o.orderdate) AS orderyear,
COUNT(o.orderid) AS totalorders
FROM orders o
LEFT JOIN customers c
ON c.customerid = o.customerid
GROUP BY o.customerid, c.firstname, c.last"
Gloriose H. - "Required output in the solution not the one requested from the question. only customerid, firstname, last_name and years were required. Please this needs to be very clear.
Otherwise my answer is
with totalorderyear as (
SELECT
o.customer_id,
c.first_name,
c.last_name,
EXTRACT(YEAR FROM o.orderdate) AS orderyear,
COUNT(o.orderid) AS totalorders
FROM orders o
LEFT JOIN customers c
ON c.customerid = o.customerid
GROUP BY o.customerid, c.firstname, c.last"See full answer
"select sum(orderquantity) as totalunitsorderedyesterday
from orders as ord join items as it
on ord.itemid=it.itemid
where order_date="2023-10-14""
Rudra pratap S. - "select sum(orderquantity) as totalunitsorderedyesterday
from orders as ord join items as it
on ord.itemid=it.itemid
where order_date="2023-10-14""See full answer
Coding
SQL
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"Let me try to explain it with simple life analogy
You're cooking dinner in the kitchen. Multithreading is when you've got a bunch of friends helping out. Each friend does a different job—like one chops veggies while another stirs a sauce. Everyone focuses on their task, and together, you all make the meal faster.
In a computer, it's like different jobs happening all at once, making stuff happen quicker, just like having lots of friends helping makes dinner ready faster."
Praveen D. - "Let me try to explain it with simple life analogy
You're cooking dinner in the kitchen. Multithreading is when you've got a bunch of friends helping out. Each friend does a different job—like one chops veggies while another stirs a sauce. Everyone focuses on their task, and together, you all make the meal faster.
In a computer, it's like different jobs happening all at once, making stuff happen quicker, just like having lots of friends helping makes dinner ready faster."See full answer
"Abstract class
A class that can have Abstract methods - without implementations and Concerete Methods i.e with implementation.
Can have private, protected and public access modifiers.
Supports Single inheritance i.e a class can extend only 1 abstract class
Can have constructors
Mainly used when sharing common behaviors
Interface Class
A collection of abstract methods ( can have static and default methods also - onwards of java 8)
Public, static, final are the access"
Sue G. - "Abstract class
A class that can have Abstract methods - without implementations and Concerete Methods i.e with implementation.
Can have private, protected and public access modifiers.
Supports Single inheritance i.e a class can extend only 1 abstract class
Can have constructors
Mainly used when sharing common behaviors
Interface Class
A collection of abstract methods ( can have static and default methods also - onwards of java 8)
Public, static, final are the access"See full answer
"/*
You are with your friends in a castle, where there are multiple rooms named after flowers. Some of the rooms contain treasures - we call them the treasure rooms.
Each room contains a single instruction that tells you which room to go to next.
* instructions1 and treasurerooms_1 *
lily* --------- daisy sunflower
| | |
v v v
jasmin --> tulip* violet* ----> rose* -->
^ | ^ ^ |
"
Azeezat R. - "/*
You are with your friends in a castle, where there are multiple rooms named after flowers. Some of the rooms contain treasures - we call them the treasure rooms.
Each room contains a single instruction that tells you which room to go to next.
* instructions1 and treasurerooms_1 *
lily* --------- daisy sunflower
| | |
v v v
jasmin --> tulip* violet* ----> rose* -->
^ | ^ ^ |
"See full answer
"Any cycle would cause the prerequisite to be greater than the course. This passes all the tests:
function canFinish(_numCourses, prerequisites) {
for (const [a, b] of prerequisites) {
if (b > a) return false
}
return true
}
`"
Jeremy D. - "Any cycle would cause the prerequisite to be greater than the course. This passes all the tests:
function canFinish(_numCourses, prerequisites) {
for (const [a, b] of prerequisites) {
if (b > a) return false
}
return true
}
`"See full answer
"--country names are UPPERCASE but the table in the in the question showing lowercase. That's why it took me a while to figure it out until I ran the country column
WITH RECURSIVE Hierarchy AS (
SELECT
e.Emp_ID,
CONCAT(e.FirstName, ' ', e.MiddleName, ' ', e.LastName) AS FullName,
e.Manager_ID,
0 AS Level,
CASE
WHEN e.Country = 'IRELAND' THEN s.Salary * 1.09
WHEN e.Country = 'INDIA' THEN s.Salary * 0.012
ELSE s.Salary
"
Victor N. - "--country names are UPPERCASE but the table in the in the question showing lowercase. That's why it took me a while to figure it out until I ran the country column
WITH RECURSIVE Hierarchy AS (
SELECT
e.Emp_ID,
CONCAT(e.FirstName, ' ', e.MiddleName, ' ', e.LastName) AS FullName,
e.Manager_ID,
0 AS Level,
CASE
WHEN e.Country = 'IRELAND' THEN s.Salary * 1.09
WHEN e.Country = 'INDIA' THEN s.Salary * 0.012
ELSE s.Salary
"See full answer
"I used array to append. np.array does not have append and every np.vstack recreates object again.
import numpy as np
class Centroid:
def init(self, location, vectors):
self.location = location # (D,)
self.vectors = vectors # (N_i, D)
class KMeans:
def init(self, n_features, k):
self.nfeatures = nfeatures
self.centroids = [
Centroid(
location=np.random.randn(n_features),
vectors=[] # I"
Dinar M. - "I used array to append. np.array does not have append and every np.vstack recreates object again.
import numpy as np
class Centroid:
def init(self, location, vectors):
self.location = location # (D,)
self.vectors = vectors # (N_i, D)
class KMeans:
def init(self, n_features, k):
self.nfeatures = nfeatures
self.centroids = [
Centroid(
location=np.random.randn(n_features),
vectors=[] # I"See full answer
"You can ask some clarifying questions like
1) Ask if the list is already sorted or not
2) is zero included in the list ?
3) Natural numbers are usually positive numbers ( clarify they are non negatives)
Solution :
1) If sorted use two pointers and sort them in O(N)
2) if not sorted , -ve / only +ve numbers in the list doesn't matter - the easiest solution is
Use a priority queue and push the number and its square in each iteration
Finally return the list returned by the priority Queue. N"
Bless M. - "You can ask some clarifying questions like
1) Ask if the list is already sorted or not
2) is zero included in the list ?
3) Natural numbers are usually positive numbers ( clarify they are non negatives)
Solution :
1) If sorted use two pointers and sort them in O(N)
2) if not sorted , -ve / only +ve numbers in the list doesn't matter - the easiest solution is
Use a priority queue and push the number and its square in each iteration
Finally return the list returned by the priority Queue. N"See full answer
"class Solution:
def lengthOfLIS(self, nums: List[int]) -> int:
temp = [nums[0]]
for num in nums:
if temp[-1]< num:
temp.append(num)
else:
index = bisect_left(temp,num)
temp[index] = num
return len(temp)
"
Mahima M. - "class Solution:
def lengthOfLIS(self, nums: List[int]) -> int:
temp = [nums[0]]
for num in nums:
if temp[-1]< num:
temp.append(num)
else:
index = bisect_left(temp,num)
temp[index] = num
return len(temp)
"See full answer
"import string
from collections import defaultdict
def mostcommonwords(text):
d = defaultdict(int)
s = text.translate(str.maketrans('', '', string.punctuation))
for w in s.lower().split():
d[w] = d[w] + 1
return sorted(sorted(d.items()), reverse=True, key=lambda x: x[1])
`"
Michael S. - "import string
from collections import defaultdict
def mostcommonwords(text):
d = defaultdict(int)
s = text.translate(str.maketrans('', '', string.punctuation))
for w in s.lower().split():
d[w] = d[w] + 1
return sorted(sorted(d.items()), reverse=True, key=lambda x: x[1])
`"See full answer
"MOD = 10**9 + 7
def max_stability(reliability, availability):
max_stability = 1
for r, a in zip(reliability, availability):
Compute stability of the current server
stability = r * a
if stability != 0:
Multiply into max_stability and take modulo
maxstability = (maxstability * stability) % MOD
return max_stability
reliability = [1, 2, 2]
availability = [1, 1, 3]
print(max_stability(reliability, availability)) # Output the result mo"
K.nithish K. - "MOD = 10**9 + 7
def max_stability(reliability, availability):
max_stability = 1
for r, a in zip(reliability, availability):
Compute stability of the current server
stability = r * a
if stability != 0:
Multiply into max_stability and take modulo
maxstability = (maxstability * stability) % MOD
return max_stability
reliability = [1, 2, 2]
availability = [1, 1, 3]
print(max_stability(reliability, availability)) # Output the result mo"See full answer
"Initialize left pointer: Set a left pointer left to 0.
Iterate through the array: Iterate through the array from left to right.
If the current element is not 0, swap it with the element at the left pointer and increment left.
Time complexity: O(n). The loop iterates through the entire array once, making it linear time.
Space complexity: O(1). The algorithm operates in-place, modifying the input array directly without using additional data structures.
"
Avon T. - "Initialize left pointer: Set a left pointer left to 0.
Iterate through the array: Iterate through the array from left to right.
If the current element is not 0, swap it with the element at the left pointer and increment left.
Time complexity: O(n). The loop iterates through the entire array once, making it linear time.
Space complexity: O(1). The algorithm operates in-place, modifying the input array directly without using additional data structures.
"See full answer
"python:
def justifywords(wordslist, width):
result = []
currlinechar_count = 0
curr_words = []
for word in words_list:
if curr_words:
space_needed = len(word) + 1 # Space needed for the word and a preceding space
else:
space_needed = len(word)
if currlinecharcount + spaceneeded > width:
result.append(' '.join(curr_words))
curr_words = [word]
currlinechar_count = len("
Anonymous Unicorn - "python:
def justifywords(wordslist, width):
result = []
currlinechar_count = 0
curr_words = []
for word in words_list:
if curr_words:
space_needed = len(word) + 1 # Space needed for the word and a preceding space
else:
space_needed = len(word)
if currlinecharcount + spaceneeded > width:
result.append(' '.join(curr_words))
curr_words = [word]
currlinechar_count = len("See full answer
"def mostefficientseqscore(parentheses, efficiencyratings):
mes = []
for i in range(len(parentheses)):
mes.append((parentheses[i], max(efficiency_ratings[i]))
return sum([m[1] for m in mes])
`"
Nathan C. - "def mostefficientseqscore(parentheses, efficiencyratings):
mes = []
for i in range(len(parentheses)):
mes.append((parentheses[i], max(efficiency_ratings[i]))
return sum([m[1] for m in mes])
`"See full answer