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Coding Interview Resources

Coding Interview Resources

الذهاب إلى القناة على Telegram

This channel contains the free resources and solution of coding problems which are usually asked in the interviews. Managed by: @love_data

إظهار المزيد

📈 نظرة تحليلية على قناة تيليجرام Coding Interview Resources

تُعد قناة Coding Interview Resources (@crackingthecodinginterview) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 52 119 مشتركاً، محتلاً المرتبة 2 568 في فئة التكنولوجيات والتطبيقات والمرتبة 7 219 في منطقة الهند.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 52 119 مشتركاً.

بحسب آخر البيانات بتاريخ 07 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار 156، وفي آخر 24 ساعة بمقدار 4، مع بقاء الوصول العام مرتفعاً.

  • حالة التحقق: غير موثّقة
  • معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 2.10‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 0.82‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
  • وصول المنشورات: يحصل كل منشور على متوسط 1 094 مشاهدة. وخلال اليوم الأول يجمع عادةً 425 مشاهدة.
  • التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 2.
  • الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل array, stack, algorithm, programming, sort.

📝 الوصف وسياسة المحتوى

يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
This channel contains the free resources and solution of coding problems which are usually asked in the interviews. Managed by: @love_data

بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 08 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.

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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 Coding Interview Resources:👇 https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X ENJOY LEARNING 👍👍

⌨️ Learn About Python List Methods
⌨️ Learn About Python List Methods

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we aren't the same 😂
we aren't the same 😂

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Python Syntax Cheatsheet 👆
Python Syntax Cheatsheet 👆

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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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👋 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