"Objective:
Proposal for expanding the service offerings for small restaurants and local cafes. The objective is to enhance the Instacart Business platform by integrating local vendors (Speciality Food & Beverage Business Units) to increase product selection and improve supply chain efficiencies for business customers.
Market Focus:
The target market includes food service establishments characterized by their need for distinct, locally sourced ingredients and their struggles wi"
realkimchi - "Objective:
Proposal for expanding the service offerings for small restaurants and local cafes. The objective is to enhance the Instacart Business platform by integrating local vendors (Speciality Food & Beverage Business Units) to increase product selection and improve supply chain efficiencies for business customers.
Market Focus:
The target market includes food service establishments characterized by their need for distinct, locally sourced ingredients and their struggles wi"See full answer
"This is another Diagnosis problem. To answer this question, we suggest you use our framework (along with the TROPIC method) to be as thorough as possible. The framework is as follows:
Ask clarifying questions
List potential high level reasons
Gather Context (TROPIC)Time
Region
Other features / products (internal)
Platform
Industry / Competition
Cannibalization
Establish a theory of probable cause
Test theories
Propose solutions
Summarize
"
Exponent - "This is another Diagnosis problem. To answer this question, we suggest you use our framework (along with the TROPIC method) to be as thorough as possible. The framework is as follows:
Ask clarifying questions
List potential high level reasons
Gather Context (TROPIC)Time
Region
Other features / products (internal)
Platform
Industry / Competition
Cannibalization
Establish a theory of probable cause
Test theories
Propose solutions
Summarize
"See full answer
"Count items between indices within compartments
compartments are delineated by by: '|'
items are identified by: '*'
input_inventory = "*||||"
inputstartidxs = [1, 4, 6]
inputendidxs = [9, 5, 8]
expected_output = [3, 0, 1]
Explanation:
"*||||"
0123456789... indices
++ + # within compartments
^ start_idx = 1
^ end_idx = 9
-- - # within idxs but not within compartments
"*||||"
0123456789... indices
"
Anonymous Unicorn - "Count items between indices within compartments
compartments are delineated by by: '|'
items are identified by: '*'
input_inventory = "*||||"
inputstartidxs = [1, 4, 6]
inputendidxs = [9, 5, 8]
expected_output = [3, 0, 1]
Explanation:
"*||||"
0123456789... indices
++ + # within compartments
^ start_idx = 1
^ end_idx = 9
-- - # within idxs but not within compartments
"*||||"
0123456789... indices
"See full answer
"This was during a Production VM Migration and the the DB crashed.We had to rollback the migration and after a 22 hour migration window present to the customer. At that point, I did not have answers to the WHY very clearly but had to present to the customer. I walked them through the situation and what had happened when the customer responded that they knew what happened but would like to know the why if we are asking for another migration window.
I had to walk out of the meeting but on the hind"
Indupriya S. - "This was during a Production VM Migration and the the DB crashed.We had to rollback the migration and after a 22 hour migration window present to the customer. At that point, I did not have answers to the WHY very clearly but had to present to the customer. I walked them through the situation and what had happened when the customer responded that they knew what happened but would like to know the why if we are asking for another migration window.
I had to walk out of the meeting but on the hind"See full answer
"I don't have experience working with alot of Biological Scientists. Most of my experience comes with Data Scientists. Described how I used ideation techniques like brainstorming and other creative ways to get people to find common ground. I also mentioned how I like to do survey's before meetings to prompt people and also get unbiased opnions"
Mark M. - "I don't have experience working with alot of Biological Scientists. Most of my experience comes with Data Scientists. Described how I used ideation techniques like brainstorming and other creative ways to get people to find common ground. I also mentioned how I like to do survey's before meetings to prompt people and also get unbiased opnions"See full answer
"def getcheapestcost(rootNode):
\# need to do DFS for each branch
\# but this can be done recursively
n = len(rootNode.children)
if n == 0:
return 0
else:
min_cost = float('inf')
for i in range(len(n)):
tempcost = getcheapest_cost(rootNode.children[i])
if (tempcost < mincost):
mincost = tempcost
return min_cost + rootNode.cost
\# A node
class Node:
\# Constructor to create a new node
def init\(self, cost):
self.cost = cost
self.children = []
self.parent = None"
Anonymous Owl - "def getcheapestcost(rootNode):
\# need to do DFS for each branch
\# but this can be done recursively
n = len(rootNode.children)
if n == 0:
return 0
else:
min_cost = float('inf')
for i in range(len(n)):
tempcost = getcheapest_cost(rootNode.children[i])
if (tempcost < mincost):
mincost = tempcost
return min_cost + rootNode.cost
\# A node
class Node:
\# Constructor to create a new node
def init\(self, cost):
self.cost = cost
self.children = []
self.parent = None"See full answer
"with login_data as (
select *
from useractivitylog
where activity_type = 'LOGIN'
)
,cte as (
select userid, timestamp as currentlogin
,lag(timestamp,1,timestamp) over (partition by user_id order by timestamp asc)
as previous_login,
round((julianday(timestamp) - julianday(lag(timestamp,1,timestamp) over (partition by user_id order by timestamp asc))) * 24 * 60)
as minutes_elapsed
from login_data
)
select * from cte where currentlogin previouslogin;"
Kedar W. - "with login_data as (
select *
from useractivitylog
where activity_type = 'LOGIN'
)
,cte as (
select userid, timestamp as currentlogin
,lag(timestamp,1,timestamp) over (partition by user_id order by timestamp asc)
as previous_login,
round((julianday(timestamp) - julianday(lag(timestamp,1,timestamp) over (partition by user_id order by timestamp asc))) * 24 * 60)
as minutes_elapsed
from login_data
)
select * from cte where currentlogin previouslogin;"See full answer
"A red-black tree is a self-balancing binary search tree. The motivation for this is that the benefits of O(logN) search, insertion, and deletion that a binary tree provides us will disappear if we let the tree get too "imbalanced" (e.g. there are too many nodes on one side of the tree or some branches have a depth that is way out of proportion to the average branch depth). This imbalance will occur if we don't adjust the tree after inserting or deleting nodes, hence our need for self-balancing c"
Alex M. - "A red-black tree is a self-balancing binary search tree. The motivation for this is that the benefits of O(logN) search, insertion, and deletion that a binary tree provides us will disappear if we let the tree get too "imbalanced" (e.g. there are too many nodes on one side of the tree or some branches have a depth that is way out of proportion to the average branch depth). This imbalance will occur if we don't adjust the tree after inserting or deleting nodes, hence our need for self-balancing c"See full answer
"Google Maps has achieved remarkable success due to several key factors that have set it apart in the realm of digital mapping and navigation services. There are a few crucial reasons behind its success:
Comprehensive and Accurate Data: Google Maps has a vast database of geographic information, including detailed maps, street views, and satellite imagery from all around the world. It provides accurate and up-to-date data on roads, landmarks, businesses, and other points of interest, allowing u"
Vincent T. - "Google Maps has achieved remarkable success due to several key factors that have set it apart in the realm of digital mapping and navigation services. There are a few crucial reasons behind its success:
Comprehensive and Accurate Data: Google Maps has a vast database of geographic information, including detailed maps, street views, and satellite imagery from all around the world. It provides accurate and up-to-date data on roads, landmarks, businesses, and other points of interest, allowing u"See full answer