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allcoding1_official

allcoding1_official

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📈 Análisis del canal de Telegram allcoding1_official

El canal allcoding1_official (@allcoding1_official) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 79 087 suscriptores, ocupando la posición 1 607 en la categoría Tecnologías y Aplicaciones y el puesto 3 824 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 79 087 suscriptores.

Según los últimos datos del 24 octubre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -1 636, y en las últimas 24 horas de -24, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 1.75%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.67% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 1 383 visualizaciones. En el primer día suele acumular 527 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, dev.

📝 Descripción y política de contenido

No se ha proporcionado la descripción del canal.

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 25 octubre, 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 Tecnologías y Aplicaciones.

79 087
Suscriptores
-2424 horas
-3787 días
-1 63630 días
Archivo de publicaciones
Minimum unique sum
Minimum unique sum

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

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

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

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))

You are given a string S consisting of lowercase latin letters, i.e. {a, b,c, ..z} You can perform the following operation on S any number times Remove two consecutive characters. Find the total number of distinct strings that you can generate. Note: All operations are mutually exclusive. This means that all operations are going to be performed independently on the initial string S. Input Format The first line contains a string, S. denoting the given string. Constraints 1 <= len(S) <= 10^5 Sample Test Cases Case 1 Input aaabcc Output 4 Explanation: S = "aaabcc" we can get the strings "abcc", "aacc", "aaac", and "aaab". Hence, the answer for this case is equal to 4. Case 2 Input aaaaaaaaaa Output 1 Explanation: S = "аaаааааааа" We can get only one string which is "aaaaaaaaaa". Hence, the answer for this case is equal to 1. Case 3 Input: abcdef Output: 5 Explanation: S = "abcdef" We can get the strings "cdef", "adef", "abef", "abcf", and "abcd". Hence, the answer for this case is equal to 5.

Minimum substring ..
Minimum substring ..

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)

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)

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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

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