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📈 Análisis del canal de Telegram allcoding1

El canal allcoding1 (@allcoding1) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 21 584 suscriptores, ocupando la posición 9 062 en la categoría Educación y el puesto 19 025 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 21 584 suscriptores.

Según los últimos datos del 29 agosto, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -360, y en las últimas 24 horas de -8, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 5.78%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.10% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 1 247 visualizaciones. En el primer día suele acumular 238 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 0.
  • Intereses temáticos: El contenido se centra en temas clave como dsa, stack, namaste, javascript, learning.

📝 Descripción y política de contenido

No se ha proporcionado la descripción del canal.

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 30 agosto, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Educación.

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Latin Alpha Numerals Accenture Hackdiva Code
Latin Alpha Numerals Accenture Hackdiva Code

📌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

LI.GCD code in another way of solving
LI.GCD code in another way of solving

LI Gcd Code in python Infosys
LI Gcd Code in python Infosys

All codes are available To easily find out ur codes Once check it 👇👇 https://www.instagram.com/allcoding1_official?igsh=ZHJpNXdpeWh1d2No

def f(S): n = len(S) lf, rf = {}, {} ls, rs = set(), set() # Initialize the rf map and rs with the entire string S for c in S: rf[c] = rf.get(c, 0) + 1 rs.add(c) mx = 0 # Traverse the string and adjust the ls and rs sets and maps for i in range(n - 1): c = S[i] lf[c] = lf.get(c, 0) + 1 rf[c] -= 1 if rf[c] == 0: rs.remove(c) ls.add(c) cs = len(ls) + len(rs) mx = max(mx, cs) return n - mx // spilit screen @allcoding1_official

public static int solve(int N, int[] A) { int t = 0; for (int num : A) { t += num; } int x = 0; int y = 0; for (int i = 0; i < N; i++) { int res = t - x - A[i]; if (x == res) { y++; } x += A[i]; } return y; } //Equilibrium Point

def GetAnswer(N, A, B, P): dp = [0] * (N + 1) max_d = 0 for i in range(N - 1, -1, -1): max_p = P[i] min_p = P[i] for j in range(1, B + 1): if i + j <= N: max_p = max(max_p, P[i + j - 1]) min_p = min(min_p, P[i + j - 1]) max_d = max(max_d, max_p - min_p) if i + 1 == N: dp[i] = max(dp[i], max_d) else: dp[i] = max(dp[i], max_d, dp[i + 1]) return dp[0] import sys input = sys.stdin.read data = input().split() N = int(data[0]) A = int(data[1]) B = int(data[2]) P = list(map(int, data[3:])) result = GetAnswer(N, A, B, P) print(result) // XOR formaating code

def main():     import sys     input = sys.stdin.read     data = input().split('\n')         S = data[0].strip()     N = int(data[1].strip())     W = []     for i in range(N):         W.append(data[2 + i].strip())         freqS = get_frequency(S)         count = 0     for w in W:         if is_valid_anagram_subsequence(freqS, w):             count += 1         print(count) def get_frequency(S):     freq = [0] * 26     for c in S:         freq[ord(c) - ord('a')] += 1     return freq def is_valid_anagram_subsequence(freqS, w):     freqW = [0] * 26     for c in w:         freqW[ord(c) - ord('a')] += 1         for i in range(26):         if freqW[i] > freqS[i]:             return False         return True if name == "main":     main() // MInimal subarray length

Maximum code are python

#include <iostream> #include <vector> #include <algorithm> using namespace std; void dfs(int node, int parent, const vector<vector<int>>& tree, const vector<int>& A, int depth, int& maxDepth) { maxDepth = max(maxDepth, depth); for (int child : tree[node]) { if (child != parent) { if ((A[node] ^ A[child]) < A[node] && (A[node] ^ A[child]) < A[child]) { dfs(child, node, tree, A, depth + 1, maxDepth); } } } } int main() { int N; cin >> N; vector<int> A(N + 1); vector<int> P(N + 1); vector<vector<int>> tree(N + 1); // Read values array for (int i = 1; i <= N; ++i) { cin >> A[i]; } // Read parent array and buildthe tree for (int i = 2; i <= N; ++i) { // P[1] is root with P[1] = 0, so start from 2 cin >> P[i]; tree[P[i]].push_back(i); tree[i].push_back(P[i]); } int maxDepth = 0; dfs(1, 0, tree, A, 1, maxDepth); cout << maxDepth << endl; return 0; }

#include <iostream> #include <vector> #include <algorithm> #include <cmath> using namespace std; const int MOD = 1000000007; int minLampsToLightRoad(int num_positions, int num_lamps, vector<int>& lamp_positions, vector<int>& left_reach, vector<int>& right_reach, vector<pair<int, int>>& queries) { // Step 1: Create intervals for each lamp vector<pair<int, int>> intervals; for (int i = 0; i < num_lamps; ++i) { intervals.push_back({lamp_positions[i] - left_reach[i], lamp_positions[i] + right_reach[i]}); } // Step 2: Sort intervals based on starting position sort(intervals.begin(), intervals.end()); // Precompute the farthest reach for each starting point vector<pair<int, int>> max_reach_from_start; int current_max_reach = -1; for (const auto& interval : intervals) { int start = interval.first; int end = interval.second; if (max_reach_from_start.empty() start > max_reach_from_start.back().first) { max_reach_from_start.push_back({start, end}); } current_max_reach = max(current_max_reach, end); max_reach_from_start.back().second = current_max_reach; } auto min_lamps_needed = [&](int query_left, int query_right) { int count = 0; int max_reach = query_left; while (max_reach <= query_right) { auto it = upper_bound(max_reach_from_start.begin(), max_reach_from_start.end(), make_pair(max_reach, INT_MAX)); if (it == max_reach_from_start.begin() prev(it)->first > max_reach) { return -1; } int next_max_reach = prev(it)->second; if (next_max_reach <= max_reach) { return -1; } max_reach = next_max_reach + 1; count++; if (max_reach > query_right) { break; } } return max_reach > query_right ? count : -1; }; // Step 3: Process each query and sum up the results int result_sum = 0; for (const auto& query : queries) { int result = min_lamps_needed(query.first, query.second); if (result != -1) { result_sum += result; result_sum %= MOD; } } return result_sum; } lightning lamp code , all cases are passing

#include <iostream> #include <vector> #include <unordered_map> #include <unordered_set> #include <queue> #include <algorithm> using namespace std; int maxTreeScore(int node_count, int edge_count, vector<pair<int, int>>& edges, vector<int>& colors) { // Step 1: Parse input and create adjacency list unordered_map<int, vector<int>> adjacency_list; for (const auto& edge : edges) { int start = edge.first; int end = edge.second; adjacency_list[start].push_back(end); adjacency_list[end].push_back(start); } // Step 2: Calculate depth of each node using BFS vector<int> node_depth(node_count + 1, -1); node_depth[1] = 0; queue<int> bfs_queue; bfs_queue.push(1); while (!bfs_queue.empty()) { int current_node = bfs_queue.front(); bfs_queue.pop(); int current_depth = node_depth[current_node]; for (int neighbor : adjacency_list[current_node]) { if (node_depth[neighbor] == -1) { // unvisited node_depth[neighbor] = current_depth + 1; bfs_queue.push(neighbor); } } } // Step 3: Group nodes by depth unordered_map<int, vector<int>> nodes_grouped_by_depth; for (int node = 1; node <= node_count; ++node) { nodes_grouped_by_depth[node_depth[node]].push_back(node); } // Step 4: Calculate distinct colors per depth unordered_map<int, int> distinct_colors_at_depth; for (const auto& pair : nodes_grouped_by_depth) { int depth = pair.first; const vector<int>& nodes = pair.second; unordered_set<int> unique_colors; for (int node : nodes) { unique_colors.insert(colors[node - 1]); } distinct_colors_at_depth[depth] = unique_colors.size(); } // Step 5: Dynamic programming to calculate max score int max_depth = max_element(nodes_grouped_by_depth.begin(), nodes_grouped_by_depth.end(), [](const auto& a, const auto& b) { return a.first < b.first; })->first; vector<int> dp_score(max_depth + 2, 0); for (int depth = max_depth; depth >= 0; --depth) { // Option 1: Move to the next depth without adding score dp_score[depth] = dp_score[depth + 1]; // Option 2: Add the distinct colors to score and move to depth depth + unique_colors_count if (distinct_colors_at_depth.find(depth) != distinct_colors_at_depth.end()) { int unique_colors_count = distinct_colors_at_depth[depth]; if (depth + unique_colors_count <= max_depth) { dp_score[depth] = max(dp_score[depth], dp_score[depth + unique_colors_count] + unique_colors_count); } else { dp_score[depth] = max(dp_score[depth], unique_colors_count); } } } return dp_score[0]; } diving in a tree , all test cases are passing

All codes are available To easily find out ur codes Once check it 👇👇 https://www.instagram.com/allcoding1_official?igsh=ZHJpNXdpeWh1d2No

Coins game
Coins game

#include <iostream> #include <vector> #include <algorithm> using namespace std; void dfs(int node, int parent, const vector<vector<int>> &adj, const vector<int> &A, int length, int &maxLength) { maxLength = max(maxLength, length); for (int neighbor : adj[node]) { if (neighbor == parent) continue; if ((A[node] ^ A[neighbor]) < min(A[node], A[neighbor])) { dfs(neighbor, node, adj, A, length + 1, maxLength); } } } int main() { int N; cin >> N; vector<int> A(N), P(N); for (int i = 0; i < N; ++i) cin >> A[i]; for (int i = 1; i < N; ++i) cin >> P[i]; vector<vector<int>> adj(N); for (int i = 1; i < N; ++i) { int parent = P[i]; adj[parent].push_back(i); adj[i].push_back(parent); } int maxLength = 0; dfs(0, -1, adj, A, 1, maxLength); cout << maxLength << endl; return 0; } Nodes

Shortest string code in python Infosys
Shortest string code in python Infosys

def get_answer(N, K, A, S): from collections import Counter def min_deletions_to_palindrome(piece): count = Counter(piece) odd_count = sum(1 for freq in count.values() if freq % 2 == 1) return max(0, odd_count - 1) start = 0 total_deletions = 0 for length in A: piece = S[start:start + length] total_deletions += min_deletions_to_palindrome(piece) start += length return total_deletions MINIMAL PALINDROME