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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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๐Ÿ“ˆ 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 52 119 subscribers, ranking 2 568 in the Technologies & Applications category and 7 219 in the India region.

๐Ÿ“Š Audience metrics and dynamics

Since its creation on ะฝะตะฒั–ะดะพะผะพ, the project has demonstrated rapid growth, gathering an audience of 52 119 subscribers.

According to the latest data from 07 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 156 over the last 30 days and by 4 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 2.10%. Within the first 24 hours after publication, content typically collects 0.82% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 094 views. Within the first day, a publication typically gains 425 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
  • Thematic interests: Content is focused on key topics such as array, stack, algorithm, programming, sort.

๐Ÿ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
โ€œThis channel contains the free resources and solution of coding problems which are usually asked in the interviews. Managed by: @love_dataโ€

Thanks to the high frequency of updates (latest data received on 08 June, 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.

52 119
Subscribers
+424 hours
+397 days
+15630 days
Posts Archive
๐—™๐—ฅ๐—˜๐—˜ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ ๐—ฃ๐—ฟ๐—ฒ๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€๐Ÿ˜ - Data Analytics - Python - SQL - Excel - Da
๐—™๐—ฅ๐—˜๐—˜ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ ๐—ฃ๐—ฟ๐—ฒ๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€๐Ÿ˜ - Data Analytics - Python - SQL - Excel - Data Science - AI ๐‹๐ข๐ง๐ค ๐Ÿ‘‡:- https://pdlink.in/41VIuSA Enroll Now & Get a course completion certificate๐ŸŽ“

9 tips to learn Data Structures & Algorithms (DSA) effectively: Master one language first (like Python, Java, or C++) Start with basics: arrays, strings, linked lists Practice consistently on coding platforms Visualize problems to understand them better Learn patterns โ€” sliding window, two pointers, recursion Understand time and space complexity Solve problems before reading solutions Revisit and revise tough problems Build a strong foundation before diving into advanced topics Coding Interview Resources:๐Ÿ‘‡ https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X ENJOY LEARNING ๐Ÿ‘๐Ÿ‘

โŒจ๏ธ Learn About Python List Methods
โŒจ๏ธ Learn About Python List Methods

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9 tips to master Git as a developer: Commit often with clear messages Use .gitignore to keep your repo clean Never commit secrets or credentials Branch for every new feature Pull before you push Use git status frequently Write meaningful commit messages Use git log to track history Learn to resolve merge conflicts calmly Free Git & GitHub Resources: https://whatsapp.com/channel/0029Vawixh9IXnlk7VfY6w43 ENJOY LEARNING ๐Ÿ‘๐Ÿ‘

we aren't the same ๐Ÿ˜‚
we aren't the same ๐Ÿ˜‚

๐—ฃ๐—ฎ๐˜† ๐—”๐—ณ๐˜๐—ฒ๐—ฟ ๐—ฃ๐—น๐—ฎ๐—ฐ๐—ฒ๐—บ๐—ฒ๐—ป๐˜ - ๐—š๐—ฒ๐˜ ๐—ฆ๐—ฎ๐—น๐—ฎ๐—ฟ๐˜† ๐—ฃ๐—ฎ๐—ฐ๐—ธ๐—ฎ๐—ด๐—ฒ ๐—จ๐—ฝ๐˜๐—ผ ๐Ÿฐ๐Ÿญ๐—Ÿ๐—ฃ๐—” ๐Ÿ˜ Upskill on the most in-deman
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Python Syntax Cheatsheet ๐Ÿ‘†
Python Syntax Cheatsheet ๐Ÿ‘†

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Lol ๐Ÿ˜‚
Lol ๐Ÿ˜‚

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DSA (Data Structures and Algorithms) Essential Topics for Interviews 1๏ธโƒฃ Arrays and Strings Basic operations (insert, delete, update) Two-pointer technique Sliding window Prefix sum Kadaneโ€™s algorithm Subarray problems 2๏ธโƒฃ Linked List Singly & Doubly Linked List Reverse a linked list Detect loop (Floydโ€™s Cycle) Merge two sorted lists Intersection of linked lists 3๏ธโƒฃ Stack & Queue Stack using array or linked list Queue and Circular Queue Monotonic Stack/Queue LRU Cache (LinkedHashMap/Deque) Infix to Postfix conversion 4๏ธโƒฃ Hashing HashMap, HashSet Frequency counting Two Sum problem Group Anagrams Longest Consecutive Sequence 5๏ธโƒฃ Recursion & Backtracking Base cases and recursive calls Subsets, permutations N-Queens problem Sudoku solver Word search 6๏ธโƒฃ Trees & Binary Trees Traversals (Inorder, Preorder, Postorder) Height and Diameter Balanced Binary Tree Lowest Common Ancestor (LCA) Serialize & Deserialize Tree 7๏ธโƒฃ Binary Search Trees (BST) Search, Insert, Delete Validate BST Kth smallest/largest element Convert BST to DLL 8๏ธโƒฃ Heaps & Priority Queues Min Heap / Max Heap Heapify Top K elements Merge K sorted lists Median in a stream 9๏ธโƒฃ Graphs Representations (adjacency list/matrix) DFS, BFS Cycle detection (directed & undirected) Topological Sort Dijkstraโ€™s & Bellman-Ford algorithm Union-Find (Disjoint Set) 10๏ธโƒฃ Dynamic Programming (DP) 0/1 Knapsack Longest Common Subsequence Matrix Chain Multiplication DP on subsequences Memoization vs Tabulation 11๏ธโƒฃ Greedy Algorithms Activity selection Huffman coding Fractional knapsack Job scheduling 12๏ธโƒฃ Tries Insert and search a word Word search Auto-complete feature 13๏ธโƒฃ Bit Manipulation XOR, AND, OR basics Check if power of 2 Single Number problem Count set bits

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๐Ÿ‘‹ Hello world in most popular languages
๐Ÿ‘‹ Hello world in most popular languages

Part 2 of the Deep Python Roadmap for Beginners ๐Ÿ”ฐ File Handling & Exceptions ๐Ÿ“‚๐Ÿšจ โ€ข Read/write files (text, CSV, JSON) โ€ข Use try/except/finally for error handling Modules & Environments ๐Ÿ“ฆ๐ŸŒ โ€ข Organize code with modules and packages โ€ข Manage dependencies with pip and virtual environments Advanced Concepts ๐Ÿ”ฅ๐Ÿ” โ€ข Work with decorators, generators, and context managers Testing & Debugging ๐Ÿžโœ… โ€ข Write tests using unittest or pytest โ€ข Utilize debugging tools and linters APIs & Web Development ๐ŸŒ๐Ÿ”— โ€ข Interact with RESTful APIs โ€ข Start with frameworks like Flask or Django Data Analysis & Visualization ๐Ÿ“Š๐ŸŽจ โ€ข Use NumPy and Pandas for data handling โ€ข Visualize with Matplotlib or Seaborn Asynchronous Programming โฐ๐Ÿ”€ โ€ข Learn threading, multiprocessing, and async/await Version Control & Deployment ๐Ÿ”๐Ÿš€ โ€ข Master Git basics and collaborative workflows โ€ข Explore deployment strategies and CI/CD practices Project Building & Community ๐Ÿ—๏ธ๐ŸŒ โ€ข Build projects, contribute to open-source, and join communities React โค๏ธ for more roadmaps

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

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๐Ÿ”ฐ Deep Python Roadmap for Beginners ๐Ÿ Setup & Installation ๐Ÿ–ฅ๏ธโš™๏ธ โ€ข Install Python, choose an IDE (VS Code, PyCharm) โ€ข Set up virtual environments for project isolation ๐ŸŒŽ Basic Syntax & Data Types ๐Ÿ“๐Ÿ”ข โ€ข Learn variables, numbers, strings, booleans โ€ข Understand comments, basic input/output, and simple expressions โœ๏ธ Control Flow & Loops ๐Ÿ”„๐Ÿ”€ โ€ข Master conditionals (if, elif, else) โ€ข Practice loops (for, while) and use control statements like break and continue ๐Ÿ‘ฎ Functions & Scope โš™๏ธ๐ŸŽฏ โ€ข Define functions with def and learn about parameters and return values โ€ข Explore lambda functions, recursion, and variable scope ๐Ÿ“œ Data Structures ๐Ÿ“Š๐Ÿ“š โ€ข Work with lists, tuples, sets, and dictionaries โ€ข Learn list comprehensions and built-in methods for data manipulation โš™๏ธ Object-Oriented Programming (OOP) ๐Ÿ—๏ธ๐Ÿ‘ฉโ€๐Ÿ’ป โ€ข Understand classes, objects, and methods โ€ข Dive into inheritance, polymorphism, and encapsulation ๐Ÿ” React "โค๏ธ" for Part 2