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
显示更多📈 Telegram 频道 Coding Interview Resources 的分析概览
频道 Coding Interview Resources (@crackingthecodinginterview) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 52 119 名订阅者,在 技术与应用 类别中位列第 2 568,并在 印度 地区排名第 7 219 位。
📊 受众指标与增长动态
自 невідомо 创建以来,项目保持高速增长,吸引了 52 119 名订阅者。
根据 07 六月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 156,过去 24 小时变化为 4,整体触达仍然可观。
- 认证状态: 未认证
- 互动率 (ER): 平均受众互动率为 2.10%。内容发布后 24 小时内通常能获得 0.82% 的反应,占订阅者总量。
- 帖子覆盖: 每篇帖子平均可获得 1 094 次浏览,首日通常累积 425 次浏览。
- 互动与反馈: 受众积极参与,单帖平均反应数为 2。
- 主题关注点: 内容集中在 array, stack, algorithm, programming, sort 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台:
“This channel contains the free resources and solution of coding problems which are usually asked in the interviews.
Managed by: @love_data”
凭借高频更新(最新数据采集于 08 六月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 技术与应用 类别中的关键影响点。
52 119
订阅者
+424 小时
+397 天
+15630 天
帖子存档
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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 — 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
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9 tips to master Git as a developer:
Commit often with clear messages
Use .gitignore to keep your repo clean
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Branch for every new feature
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Use git status frequently
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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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File Handling & Exceptions 📂🚨
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APIs & Web Development 🌐🔗
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Data Analysis & Visualization 📊🎨
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Asynchronous Programming ⏰🔀
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Version Control & Deployment 🔁🚀
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Project Building & Community 🏗️🌍
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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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Setup & Installation 🖥️⚙️
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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
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React "❤️" for Part 2
现已上线!2025 年 Telegram 研究 — 年度关键洞察 
