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لا تقع ضحية للمخادعين! تيليمتريو يكتشف ويُميّز هذه القنوات 👉 إذا كنت تريد رؤية العلامة، اشترك

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 51 977 مشتركاً، محتلاً المرتبة 2 561 في فئة التكنولوجيات والتطبيقات والمرتبة 6 666 في منطقة الهند.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 51 977 مشتركاً.

بحسب آخر البيانات بتاريخ 31 أكتوبر, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار -230، وفي آخر 24 ساعة بمقدار -12، مع بقاء الوصول العام مرتفعاً.

  • حالة التحقق: غير موثّقة
  • معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 2.18‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 0.63‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
  • وصول المنشورات: يحصل كل منشور على متوسط 1 132 مشاهدة. وخلال اليوم الأول يجمع عادةً 326 مشاهدة.
  • التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 1.
  • 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 01 نوفمبر, 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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🔰 Data Manipulation with Arrays Data manipulation with arrays is commonly used in real-life scenarios such as processing and
🔰 Data Manipulation with Arrays
Data manipulation with arrays is commonly used in real-life scenarios such as processing and analyzing large datasets in scientific research, financial analysis, and business intelligence applications.

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9 tips to get better at debugging code: Read error messages carefully — they often tell you everything Use print/log statements to trace code execution Check one small part at a time Reproduce the bug consistently Use a debugger to step through code line by line Compare working vs broken code Check for typos, null values, and off-by-one errors Rubber duck debugging — explain your code out loud Take breaks — fresh eyes spot bugs faster Coding Interview Resources:👇 https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X ENJOY LEARNING 👍👍

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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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Lol 😂
Lol 😂

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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