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📈 Telegram 频道 allcoding1 的分析概览

频道 allcoding1 (@allcoding1) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 21 584 名订阅者,在 教育 类别中位列第 9 062,并在 印度 地区排名第 19 025

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 21 584 名订阅者。

根据 29 八月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 -360,过去 24 小时变化为 -8,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 5.78%。内容发布后 24 小时内通常能获得 1.10% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 1 247 次浏览,首日通常累积 238 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 0
  • 主题关注点: 内容集中在 dsa, stack, namaste, javascript, learning 等核心主题上。

📝 描述与内容策略

尚未提供频道描述。

凭借高频更新(最新数据采集于 30 八月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 教育 类别中的关键影响点。

21 584
订阅者
-824 小时
-787
-36030
帖子存档
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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