allcoding1
Kanalga Telegram’da o‘tish
Ko'proq ko'rsatish
📈 Telegram kanali allcoding1 analitikasi
allcoding1 (@allcoding1) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 21 584 obunachidan iborat bo'lib, Taʼlim toifasida 9 062-o'rinni va Hindiston mintaqasida 19 025-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 21 584 obunachiga ega bo‘ldi.
29 Avgust, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -360 ga, so‘nggi 24 soatda esa -8 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 5.78% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 1.10% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 1 247 marta ko‘riladi; birinchi sutkada odatda 238 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 0 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent dsa, stack, namaste, javascript, learning kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Kanal uchun tavsif kiritilmagan.
Yuqori yangilanish chastotasi (oxirgi ma’lumot 30 Avgust, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taʼlim toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
21 584
Obunachilar
-824 soatlar
-787 kunlar
-36030 kunlar
Postlar arxiv
21 578
def longest_equal_subarray():
n = int(input())
A = [int(input()) for _ in range(n)]
A = [-1 if x == 0 else 1 for x in A]
prefix_sum_map = {}
prefix_sum = 0
max_length = 0
for i in range(n):
prefix_sum += A[i]
if prefix_sum == 0:
max_length = i + 1
if prefix_sum in prefix_sum_map:
max_length = max(max_length, i - prefix_sum_map[prefix_sum])
else:
prefix_sum_map[prefix_sum] = i
return max_length
print(longest_equal_subarray())
Infosys Longest Subarray code
21 578
class TreeNode:
def init(self, value=0, left=None, right=None):
self.value = value
self.left = left
self.right = right
def count_nodes(node, counts):
if node is None:
return
if node.value in counts:
counts[node.value] += 1
else:
counts[node.value] = 1
count_nodes(node.left, counts)
count_nodes(node.right, counts)
def find_double_roots(root):
counts = {}
count_nodes(root, counts)
double_roots = [value for value, count in counts.items() if count > 1]
return double_roots
def main():
# Example tree:
# 1
# / \
# 2 3
# / \
# 2 4
root = TreeNode(1)
root.left = TreeNode(2)
root.right = TreeNode(3)
root.left.left = TreeNode(2)
root.left.right = TreeNode(4)
result = find_double_roots(root)
print("Nodes with double roots:", result)
if name == "main":
main()
21 578
def max_cost_split(s):
n = len(s)
max_cost = 0
for i in range(1, n):
a = s[:i]
b = s[i:]
cost_a = len(set(a))
cost_b = len(set(b))
max_cost = max(max_cost, cost_a + cost_b)
return n - max_cost
Infosys max cost split code in python
21 578
def max_sum_of_distinct_characters(S):
n = len(S)
left_chars = set()
right_chars = set()
left_count = [0] * n
right_count = [0] * n
for i in range(n):
left_chars.add(S[i])
left_count[i] = len(left_chars)
for i in range(n-1, -1, -1):
right_chars.add(S[i])
right_count[i] = len(right_char)
max_sum = 0
for i in range(n-1):
max_sum = max(max_sum, left_count[i] + right_count[i+1])
return n- max_sum
Split String code
Python 3
All passed
21 578
import sys
det solve(N, A)
for i in range(N):
if A[i]=0;
A[1]
ps=0
M-1
pm={0:-1)
for i in range(N):
ps+=A[i]
if ps in pm:
m=max(m,i-pm[ps])
else:
pm[ps]=i
return m
def main():
Nint(sys.stdin.readline().strip())
A-[]
for_ in range(N):
A.append(int(sys.stdin.readline().strip()))
result = solve(N, A)
print(result)
Largest Subarray with equal number
Infosys
21 578
def solve(N, A):
unique_sums = set()
for start in range(N):
current_sum = 0
for end in range(start, N):
current_sum += A[end]
unique_sums.add(current_sum)
print(len(unique_sums))
21 578
def count_distinct_strings(S):
distinct_strings = set()
for i in range(len(S) - 1):
new_string = S[:i] + S[i+2:]
distinct_strings.add(new_string)
return len(distinct_strings)
# Read input string
S = input().strip()
# Get the number of distinct strings that can be generated
result = count_distinct_strings(S)
print(result)
21 578
def minimum_unique_sum(A):
N = len(A)
A.sort()
total = A[0]
for i in range(1, N):
if A[i] <= A[i-1]:
A[i] = A[i-1] + 1
total += A[i]
return total
# Input format
N = int(input())
A = []
for i in range(N):
A.append(int(input()))
# Output
result = minimum_unique_sum(A)
print(result)
21 578
def split_string_cost(S):
# Length of the string S
len_S = len(S)
# To store the cost of the split parts
max_cost = 0
# Set to keep track of distinct characters in the first part
distinct_chars_A = set()
# List to keep track of the cost for the second part from each split position
cost_B = [0] * len_S
# Set to keep track of distinct characters in the second part
distinct_chars_B = set()
# Calculate cost for second part from the end
for i in range(len_S - 1, -1, -1):
distinct_chars_B.add(S[i])
cost_B[i] = len(distinct_chars_B)
# Calculate maximum sum of cost for parts A and B
for i in range(len_S - 1):
distinct_chars_A.add(S[i])
cost_A = len(distinct_chars_A)
cost = cost_A + cost_B[i + 1]
max_cost = max(max_cost, cost)
# Calculate the result as |S| - X
result = len_S - max_cost
return result
# Example usage
S = "aaabbb"
print(split_string_cost(S)) # Output: 3
21 578
📌IT learning courses
📌All programing courses
📌Abdul bari courses
📌Ashok IT
📌Linux
📌Networking
📌Design patterns
📌Donet
📌Docker
📌Entity framework
📌Node.js
📌ASP. Net
📌Aps. Net cro
📌java
📌JavaScript
📌full stack developer
Tutorials + Books + Courses + Trainings + Workshops + Educational Resources
🔹Data science
🔹Python
🔹Artificial Intelligence
🔹AWS Certified
🔹Cloud
🔹BIG DATA
🔹Data Analytics
🔹BI
🔹Google Cloud Platform
🔹IT Training
🔹MBA
🔹Machine Learning
🔹Deep Learning
🔹Ethical Hacking
🔹SPSS
🔹Statistics
🔹Data Base
🔹Learning language resources English , 🇫🇷
𝐂𝐘𝐁𝐄𝐑 𝐒𝐄𝐂𝐔𝐑𝐈𝐓𝐘 𝐀𝐋𝐋 𝐂𝐎𝐔𝐑𝐒𝐄
⚡️ Basics
⚡️ Reconnaissance and Footprinting
⚡️ Network Scanning
⚡️ Enumeration
⚡️ Firewalls HIDs Honeypot
⚡️ Malware and Threats
⚡️ Mobile Platform
⚡️ Pentesting
⚡️ Sql Injection
⚡️ System Hacking
⚡️ Web Application
⚡️ Wireless Network
⚡️ Cloud Computing
⚡️ Web Server
⚡️ Social Engineering
⚡️ Session Hijacking
⚡️ Sniffing
⚡️ BufferOverflow
⚡️ Cryptography
⚡️ Denial Of Service
All courses (100 rupees)
Contact:- @meterials_available
21 578
Accenture HackDiva Test Pattern - 2 Codes
Round 1-2 Codes (90 min)
Round 2-2 Codes (120 min)
Round 3-2 Codes (120 min)
Note: Each Round is Elimination
Round 1 (DATE: 07 JULY 2024)
Round 2 (DATE: 14 JULY 2024)
Round 3 (DATE: 21 JULY 2024)
