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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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📈 Analytical overview of Telegram channel Coding Interview Resources

Channel Coding Interview Resources (@crackingthecodinginterview) in the English language segment is an active participant. Currently, the community unites 51 977 subscribers, ranking 2 561 in the Technologies & Applications category and 6 666 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 51 977 subscribers.

According to the latest data from 31 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -230 over the last 30 days and by -12 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 2.18%. Within the first 24 hours after publication, content typically collects 0.63% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 132 views. Within the first day, a publication typically gains 326 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 1.
  • Thematic interests: Content is focused on key topics such as array, stack, algorithm, programming, sort.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“This channel contains the free resources and solution of coding problems which are usually asked in the interviews. Managed by: @love_data”

Thanks to the high frequency of updates (latest data received on 01 November, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

51 977
Subscribers
-1224 hours
-697 days
-23030 days
Posts Archive
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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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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 💡