Coding Interview Resources
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This channel contains the free resources and solution of coding problems which are usually asked in the interviews. Managed by: @love_data
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Red:📈 Análisis del canal de Telegram Coding Interview Resources
El canal Coding Interview Resources (@crackingthecodinginterview) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 52 274 suscriptores, ocupando la posición 2 476 en la categoría Tecnologías y Aplicaciones y el puesto 6 708 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 52 274 suscriptores.
Según los últimos datos del 31 agosto, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 5, y en las últimas 24 horas de -14, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 1.80%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.73% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 939 visualizaciones. En el primer día suele acumular 380 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 2.
- Intereses temáticos: El contenido se centra en temas clave como array, stack, algorithm, programming, sort.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“This channel contains the free resources and solution of coding problems which are usually asked in the interviews.
Managed by: @love_data”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 01 septiembre, 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.
52 274
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+157 días
+530 días
Archivo de publicaciones
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DSA (Data Structures and Algorithms) Essential Topics for Interviews
1️⃣ Arrays and Strings
Basic operations (insert, delete, update)
Two-pointer technique
Sliding window
Prefix sum
Kadane’s algorithm
Subarray problems
2️⃣ Linked List
Singly & Doubly Linked List
Reverse a linked list
Detect loop (Floyd’s Cycle)
Merge two sorted lists
Intersection of linked lists
3️⃣ Stack & Queue
Stack using array or linked list
Queue and Circular Queue
Monotonic Stack/Queue
LRU Cache (LinkedHashMap/Deque)
Infix to Postfix conversion
4️⃣ Hashing
HashMap, HashSet
Frequency counting
Two Sum problem
Group Anagrams
Longest Consecutive Sequence
5️⃣ Recursion & Backtracking
Base cases and recursive calls
Subsets, permutations
N-Queens problem
Sudoku solver
Word search
6️⃣ Trees & Binary Trees
Traversals (Inorder, Preorder, Postorder)
Height and Diameter
Balanced Binary Tree
Lowest Common Ancestor (LCA)
Serialize & Deserialize Tree
7️⃣ Binary Search Trees (BST)
Search, Insert, Delete
Validate BST
Kth smallest/largest element
Convert BST to DLL
8️⃣ Heaps & Priority Queues
Min Heap / Max Heap
Heapify
Top K elements
Merge K sorted lists
Median in a stream
9️⃣ Graphs
Representations (adjacency list/matrix)
DFS, BFS
Cycle detection (directed & undirected)
Topological Sort
Dijkstra’s & Bellman-Ford algorithm
Union-Find (Disjoint Set)
10️⃣ Dynamic Programming (DP)
0/1 Knapsack
Longest Common Subsequence
Matrix Chain Multiplication
DP on subsequences
Memoization vs Tabulation
11️⃣ Greedy Algorithms
Activity selection
Huffman coding
Fractional knapsack
Job scheduling
12️⃣ Tries
Insert and search a word
Word search
Auto-complete feature
13️⃣ Bit Manipulation
XOR, AND, OR basics
Check if power of 2
Single Number problem
Count set bits
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Coding Interview – Essential Topics & Concepts 🚀
1️⃣ Data Structures
Arrays & Strings – Sliding window, Two pointers.
Linked Lists – Reversal, Merging, Cycle detection.
Stacks & Queues – Monotonic stack, Priority queue.
HashMaps & HashSets – Frequency counters, Two Sum problem.
Trees & Graphs – DFS, BFS, Binary Search Tree (BST), Dijkstra’s Algorithm.
2️⃣ Algorithms
Sorting – QuickSort, MergeSort, HeapSort.
Searching – Binary Search, Ternary Search.
Recursion & Backtracking – N-Queens, Subset sum.
Dynamic Programming (DP) – Fibonacci, Knapsack, Longest Common Subsequence (LCS).
Greedy Algorithms – Huffman coding, Activity selection.
3️⃣ System Design Basics
Scalability & Load Balancing – Horizontal vs. Vertical Scaling.
Database Sharding & Indexing – Efficient data retrieval.
Microservices & Monolith – Pros & Cons.
Caching Strategies – Redis, Memcached.
Message Queues – Kafka, RabbitMQ.
4️⃣ Coding Interview Strategies
Understand the Problem – Read carefully, ask clarifying questions.
Plan Your Approach – Write test cases, consider edge cases.
Write Clean Code – Follow best practices, use meaningful variable names.
Optimize Your Solution – Reduce time and space complexity.
Practice Mock Interviews – Platforms like LeetCode, CodeSignal, HackerRank.
5️⃣ Common Interview Problems
Two Sum (Hashing)
Reverse a Linked List
Merge Intervals
LRU Cache (HashMap + Doubly Linked List)
Find Cycle in a Graph (DFS/BFS)
Word Ladder (BFS)
Longest Palindromic Substring (DP)
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