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MindTickle is hiring Front-end Engineer
For 2021, 2022, 2023 grads
Location: Bangalore
https://jobs.lever.co/mindtickle/011afcfc-09da-48f6-8acc-d49a13791327/apply?source=LinkedIn
For 2021, 2022, 2023 grads
Location: Bangalore
https://jobs.lever.co/mindtickle/011afcfc-09da-48f6-8acc-d49a13791327/apply?source=LinkedIn
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๐Zoom is hiring for Web DevOps Engineer
Experience: 0 - 1 year's
Expected Salary: 15-30 LPA
Apply here: https://zoom.wd5.myworkdayjobs.com/Zoom/job/Bangalore-IND/Web-DevOps-Engineer_R14714-1?source=linkedin
๐Baxter is hiring for Eng I, Software (0-2 years)
Experience: 0 - 1 year's
Expected Salary: 6-12 LPA
Apply here: https://jobs.baxter.com/en/job/-/-/152/71393509744?source=rd_linkedin_jobposting
Experience: 0 - 1 year's
Expected Salary: 15-30 LPA
Apply here: https://zoom.wd5.myworkdayjobs.com/Zoom/job/Bangalore-IND/Web-DevOps-Engineer_R14714-1?source=linkedin
๐Baxter is hiring for Eng I, Software (0-2 years)
Experience: 0 - 1 year's
Expected Salary: 6-12 LPA
Apply here: https://jobs.baxter.com/en/job/-/-/152/71393509744?source=rd_linkedin_jobposting
๐1
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Check out this job at GrowthXยฎ: https://www.linkedin.com/jobs/view/4042232766
Linkedin
GrowthXยฎ hiring Backend Developer Intern (Remote) in Bengaluru, Karnataka, India | LinkedIn
Posted 4:54:13 PM. About GrowthXGrowthX is a membership club for leaders & founders. Our members are from GoogleโฆSee this and similar jobs on LinkedIn.
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Linkedin
๐ We're Hiring a QA Intern! | Nancy Pairda
๐ We're Hiring a QA Intern! ๐
Looking for an exciting opportunity to kickstart your career in Quality Assurance?
Roxiler is looking for a talented QA Intern specializing in Automation Testing and Selenium to join our team!
What weโre looking for:
- Strongโฆ
Looking for an exciting opportunity to kickstart your career in Quality Assurance?
Roxiler is looking for a talented QA Intern specializing in Automation Testing and Selenium to join our team!
What weโre looking for:
- Strongโฆ
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Check out this job at HoloHire: https://www.linkedin.com/jobs/view/4051629407
Linkedin
HoloHire hiring Product Management Intern (Remote) in Greater Kolkata Area | LinkedIn
Posted 9:21:45 AM. Are you passionate about developing innovative products and driving user satisfaction? We areโฆSee this and similar jobs on LinkedIn.
def solution(p, q, r):
factorial_q = math.factorial(q)
result = pow(p, factorial_q, r)
return result
Uber โ
#define ll long long
#define N 110
#define MOD 1000000007
int solution(string p, string q, string r) {
int n = p.size();
int m = q.size();
int k = r.size();
// 1-indexing
p = "*" + p;
q = "*" + q;
r = "*" + r;
ll dp[N][N][N] = {}; // Initialize the dp array to zero
dp[0][0][0] = 1; // Base case
// Fill the dp table
for (int i = 0; i <= n; i++) {
for (int j = 0; j <= m; j++) {
for (int len = 0; len < k; len++) {
if (dp[i][j][len]) {
// Check the next characters from string p
for (int ni = i + 1; ni <= n; ni++) {
if (p[ni] == r[len + 1]) {
dp[ni][j][len + 1] = (dp[ni][j][len + 1] + dp[i][j][len]) % MOD;
}
}
// Check the next characters from string q
for (int nj = j + 1; nj <= m; nj++) {
if (q[nj] == r[len + 1]) {
dp[i][nj][len + 1] = (dp[i][nj][len + 1] + dp[i][j][len]) % MOD;
}
}
}
}
}
}
// Calculate the final answer
ll ans = 0;
for (int i = 1; i <= n; i++) {
for (int j = 1; j <= m; j++) {
ans = (ans + dp[i][j][k]) % MOD;
}
}
return ans; // Return the calculated result
}
Uber โ
#define N 110
#define MOD 1000000007
int solution(string p, string q, string r) {
int n = p.size();
int m = q.size();
int k = r.size();
// 1-indexing
p = "*" + p;
q = "*" + q;
r = "*" + r;
ll dp[N][N][N] = {}; // Initialize the dp array to zero
dp[0][0][0] = 1; // Base case
// Fill the dp table
for (int i = 0; i <= n; i++) {
for (int j = 0; j <= m; j++) {
for (int len = 0; len < k; len++) {
if (dp[i][j][len]) {
// Check the next characters from string p
for (int ni = i + 1; ni <= n; ni++) {
if (p[ni] == r[len + 1]) {
dp[ni][j][len + 1] = (dp[ni][j][len + 1] + dp[i][j][len]) % MOD;
}
}
// Check the next characters from string q
for (int nj = j + 1; nj <= m; nj++) {
if (q[nj] == r[len + 1]) {
dp[i][nj][len + 1] = (dp[i][nj][len + 1] + dp[i][j][len]) % MOD;
}
}
}
}
}
}
// Calculate the final answer
ll ans = 0;
for (int i = 1; i <= n; i++) {
for (int j = 1; j <= m; j++) {
ans = (ans + dp[i][j][k]) % MOD;
}
}
return ans; // Return the calculated result
}
Uber โ
๐1
๐๐ฆ ๐๐น๐ด๐ผ ๐ป ๐ ใ๐๐ผ๐บ๐ฝ๐ฒ๐๐ถ๐๐ถ๐๐ฒ ๐ฃ๐ฟ๐ผ๐ด๐ฟ๐ฎ๐บ๐บ๐ถ๐ป๐ดใ
Photo
//BREAK SOME friendships
class UnionFind:
def __init__(self, n):
self.parent = list(range(n))
self.rank = [0] * n
def find(self, u):
if self.parent[u] != u:
self.parent[u] = self.find(self.parent[u])
return self.parent[u]
def unite(self, u, v):
root_u = self.find(u)
root_v = self.find(v)
if root_u != root_v:
if self.rank[root_u] > self.rank[root_v]:
self.parent[root_v] = root_u
elif self.rank[root_u] < self.rank[root_v]:
self.parent[root_u] = root_v
else:
self.parent[root_v] = root_u
self.rank[root_u] += 1
def solve(n, k, defaulters, m, friends):
uf = UnionFind(n + 1)
defaulter_set = set(defaulters)
min_breaks = 0
for u, v in friends:
u_defaulter = u in defaulter_set
v_defaulter = v in defaulter_set
if (u_defaulter and v_defaulter) or (not u_defaulter and not v_defaulter):
uf.unite(u, v)
else:
min_breaks += 1
return min_breaks
Break some friendships โ
Namma yatri
๐2
// TEACH REACT
def dfs(student, graph, visited):
visited.add(student)
for friend_id in graph[student]:
if friend_id not in visited:
dfs(friend_id, graph, visited)
def solve(n, member_id, m, friends):
graph = {}
for u, v in friends:
if u not in graph:
graph[u] = []
if v not in graph:
graph[v] = []
graph[u].append(v)
graph[v].append(u)
visited = set()
connected_components = 0
for student in member_id:
if student not in visited:
dfs(student, graph, visited)
connected_components += 1
return connected_components
Namma yatri โ
Teach React
//MINIMUM TIME TO TEACH
from collections import deque, defaultdict
def solve(n, member_id, m, friends, k):
graph = defaultdict(list)
for u, v in friends:
graph[u].append(v)
graph[v].append(u)
q = deque([k])
level = {k: 0}
visited = {k}
max_time = 0
while q:
current = q.popleft()
max_time = max(max_time, level[current])
for neighbor in graph[current]:
if neighbor not in visited:
visited.add(neighbor)
level[neighbor] = level[current] + 1
q.append(neighbor)
if len(visited) != n:
return -1
return max_time
Namma Yatri โ
Minimum time to reach
๐3
Who gave the Uber OA today how was the experience? How many questions were you able to solve?
๐1๐ฑ1
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Amazon is hiring IT Support Associate
For 2022, 2023, 2024 grads
Location: Bangalore
https://www.amazon.jobs/en/jobs/2809212/it-support-associate
For 2022, 2023, 2024 grads
Location: Bangalore
https://www.amazon.jobs/en/jobs/2809212/it-support-associate
๐คฎ1