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Coding Interview Resources

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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📈 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 51 977 suscriptores, ocupando la posición 2 561 en la categoría Tecnologías y Aplicaciones y el puesto 6 666 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 51 977 suscriptores.

Según los últimos datos del 31 octubre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -230, y en las últimas 24 horas de -12, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 2.18%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.63% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 1 132 visualizaciones. En el primer día suele acumular 326 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 1.
  • 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 noviembre, 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.

51 977
Suscriptores
-1224 horas
-697 días
-23030 días
Archivo de publicaciones
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👋 Hello world in most popular languages
👋 Hello world in most popular languages

Part 2 of the Deep Python Roadmap for Beginners 🔰 File Handling & Exceptions 📂🚨 • Read/write files (text, CSV, JSON) • Use try/except/finally for error handling Modules & Environments 📦🌐 • Organize code with modules and packages • Manage dependencies with pip and virtual environments Advanced Concepts 🔥🔍 • Work with decorators, generators, and context managers Testing & Debugging 🐞✅ • Write tests using unittest or pytest • Utilize debugging tools and linters APIs & Web Development 🌐🔗 • Interact with RESTful APIs • Start with frameworks like Flask or Django Data Analysis & Visualization 📊🎨 • Use NumPy and Pandas for data handling • Visualize with Matplotlib or Seaborn Asynchronous Programming ⏰🔀 • Learn threading, multiprocessing, and async/await Version Control & Deployment 🔁🚀 • Master Git basics and collaborative workflows • Explore deployment strategies and CI/CD practices Project Building & Community 🏗️🌍 • Build projects, contribute to open-source, and join communities React ❤️ for more roadmaps

Here are 10 popular programming languages based on versatile, widely-used, and in-demand languages: 1. Python – Ideal for beginners and professionals; used in web development, data analysis, AI, and more. 2. Java – A classic language for building enterprise applications, Android apps, and large-scale systems. 3. C – The foundation for many other languages; great for understanding low-level programming concepts. 4. C++ – Popular for game development, competitive programming, and performance-critical applications. 5. C# – Widely used for Windows applications, game development (Unity), and enterprise software. 6. Go (Golang) – A modern language designed for performance and scalability, popular in cloud services. 7. Rust – Known for its safety and performance, ideal for system-level programming. 8. Kotlin – The preferred language for Android development with modern features. 9. Swift – Used for developing iOS and macOS applications with simplicity and power. 10. PHP – A staple for web development, powering many websites and applications

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🔰 Deep Python Roadmap for Beginners 🐍 Setup & Installation 🖥️⚙️ • Install Python, choose an IDE (VS Code, PyCharm) • Set up virtual environments for project isolation 🌎 Basic Syntax & Data Types 📝🔢 • Learn variables, numbers, strings, booleans • Understand comments, basic input/output, and simple expressions ✍️ Control Flow & Loops 🔄🔀 • Master conditionals (if, elif, else) • Practice loops (for, while) and use control statements like break and continue 👮 Functions & Scope ⚙️🎯 • Define functions with def and learn about parameters and return values • Explore lambda functions, recursion, and variable scope 📜 Data Structures 📊📚 • Work with lists, tuples, sets, and dictionaries • Learn list comprehensions and built-in methods for data manipulation ⚙️ Object-Oriented Programming (OOP) 🏗️👩‍💻 • Understand classes, objects, and methods • Dive into inheritance, polymorphism, and encapsulation 🔍 React "❤️" for Part 2

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𝗕𝗲𝘀𝘁 𝗣𝗿𝗲𝗺𝗶𝘂𝗺 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗧𝗼 𝗘𝗻𝗿𝗼𝗹𝗹 𝗜𝗻 𝟮𝟬𝟮𝟱😍 - Data Science - SQL - Py
𝗕𝗲𝘀𝘁 𝗣𝗿𝗲𝗺𝗶𝘂𝗺 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗧𝗼 𝗘𝗻𝗿𝗼𝗹𝗹 𝗜𝗻 𝟮𝟬𝟮𝟱😍 - Data Science  - SQL - Python Programming  - Data Analytics  - Generative AI - Machine Learning  𝐋𝐢𝐧𝐤 👇:- https://pdlink.in/41VIuSA Enroll Now & Get a course completion certificate🎓

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) Free Coding Resources: https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X ENJOY LEARNING 👍👍

Python Methods 👆
Python Methods 👆

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Coding Resources 👆
Coding Resources 👆

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Data structures in Python - cheat sheet
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Data structures in Python - cheat sheet

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Coding Algorithms 👆
Coding Algorithms 👆

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Useful Ai tools
Useful Ai tools

Python Advanced Project Ideas 💡
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Python Advanced Project Ideas 💡