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Coding_knowledge

Kanalga Telegramโ€™da oโ€˜tish

๐Ÿ’ก Your Coding Journey Starts Here! Get free courses, coding resources, internships, job updates & much more. Stay ahead in tech with us! โค๏ธ๐Ÿš€ Join our WhatsApp group๐Ÿ‘‡ https://whatsapp.com/channel/0029Vaa7CVhCRs1rxJzy1n3D

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Coding_knowledge (@coding_knwledge01) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 81 575 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 1 584-o'rinni va Hindiston mintaqasida 3 896-o'rinni egallagan.

๐Ÿ“Š Auditoriya koโ€˜rsatkichlari va dinamika

ะฝะตะฒั–ะดะพะผะพ sanasidan buyon loyiha tez oโ€˜sib, 81 575 obunachiga ega boโ€˜ldi.

10 Iyun, 2026 dagi oxirgi maโ€™lumotlarga koโ€˜ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 3 611 ga, soโ€˜nggi 24 soatda esa 37 ga oโ€˜zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya oโ€˜rtacha 7.14% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 2.96% ini tashkil etuvchi reaksiyalarni toโ€˜playdi.
  • Post qamrovi: Har bir post oโ€˜rtacha 5 819 marta koโ€˜riladi; birinchi sutkada odatda 2 415 ta koโ€˜rish yigโ€˜iladi.
  • Reaksiyalar va oโ€˜zaro taโ€™sir: Auditoriya faol: har bir postga oโ€˜rtacha 17 ta reaksiya keladi.
  • Tematik yoโ€˜nalishlar: Kontent q&a, goody, api, stack, analyst kabi asosiy mavzularga jamlangan.

๐Ÿ“ Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida taโ€™riflaydi:
โ€œ๐Ÿ’ก Your Coding Journey Starts Here! Get free courses, coding resources, internships, job updates & much more. Stay ahead in tech with us! โค๏ธ๐Ÿš€ Join our WhatsApp group๐Ÿ‘‡ https://whatsapp.com/channel/0029Vaa7CVhCRs1rxJzy1n3Dโ€

Yuqori yangilanish chastotasi (oxirgi maโ€™lumot 11 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli boโ€˜lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim taโ€™sir nuqtasiga aylantirishini koโ€˜rsatadi.

81 575
Obunachilar
+3724 soatlar
+4897 kunlar
+3 61130 kunlar
Postlar arxiv
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Master DSA ๐Ÿš€ DSA MASTER TREE โ”‚ โ”œโ”€โ”€ 1. Foundations โ”‚ โ”œโ”€โ”€ What is Data Structure โ”‚ โ”œโ”€โ”€ What is Algorithm โ”‚ โ”œโ”€โ”€ Time Complexity โ”‚ โ”‚ โ”œโ”€โ”€ Big-O โ”‚ โ”‚ โ”œโ”€โ”€ Big-ฮฉ โ”‚ โ”‚ โ””โ”€โ”€ Big-ฮ˜ โ”‚ โ”œโ”€โ”€ Space Complexity โ”‚ โ””โ”€โ”€ Recurrence Relations โ”‚ โ”œโ”€โ”€ 2. Mathematical Basics โ”‚ โ”œโ”€โ”€ Logarithms โ”‚ โ”œโ”€โ”€ Modular Arithmetic โ”‚ โ”œโ”€โ”€ Prime Numbers โ”‚ โ”œโ”€โ”€ GCD / LCM โ”‚ โ””โ”€โ”€ Sieve of Eratosthenes โ”‚ โ”œโ”€โ”€ 3. Arrays โ”‚ โ”œโ”€โ”€ Traversal โ”‚ โ”œโ”€โ”€ Searching โ”‚ โ”‚ โ”œโ”€โ”€ Linear Search โ”‚ โ”‚ โ””โ”€โ”€ Binary Search โ”‚ โ”œโ”€โ”€ Prefix Sum โ”‚ โ”œโ”€โ”€ Sliding Window โ”‚ โ”œโ”€โ”€ Two Pointers โ”‚ โ”œโ”€โ”€ Kadaneโ€™s Algorithm โ”‚ โ””โ”€โ”€ Matrix / 2D Arrays โ”‚ โ”œโ”€โ”€ 4. Strings โ”‚ โ”œโ”€โ”€ String Manipulation โ”‚ โ”œโ”€โ”€ Pattern Matching โ”‚ โ”‚ โ”œโ”€โ”€ Naive โ”‚ โ”‚ โ”œโ”€โ”€ KMP โ”‚ โ”‚ โ”œโ”€โ”€ Rabin-Karp โ”‚ โ”‚ โ””โ”€โ”€ Z Algorithm โ”‚ โ”œโ”€โ”€ Palindrome Problems โ”‚ โ”œโ”€โ”€ String Hashing โ”‚ โ””โ”€โ”€ Trie โ”‚ โ”œโ”€โ”€ 5. Linked Lists โ”‚ โ”œโ”€โ”€ Singly Linked List โ”‚ โ”œโ”€โ”€ Doubly Linked List โ”‚ โ”œโ”€โ”€ Circular Linked List โ”‚ โ”œโ”€โ”€ Reverse Linked List โ”‚ โ”œโ”€โ”€ Cycle Detection (Floyd) โ”‚ โ””โ”€โ”€ Merge Lists โ”‚ โ”œโ”€โ”€ 6. Stack โ”‚ โ”œโ”€โ”€ Stack Implementation โ”‚ โ”œโ”€โ”€ Balanced Parentheses โ”‚ โ”œโ”€โ”€ Next Greater Element โ”‚ โ”œโ”€โ”€ Monotonic Stack โ”‚ โ””โ”€โ”€ Min Stack โ”‚ โ”œโ”€โ”€ 7. Queue โ”‚ โ”œโ”€โ”€ Queue Implementation โ”‚ โ”œโ”€โ”€ Circular Queue โ”‚ โ”œโ”€โ”€ Deque โ”‚ โ”œโ”€โ”€ Priority Queue โ”‚ โ””โ”€โ”€ Monotonic Queue โ”‚ โ”œโ”€โ”€ 8. Hashing โ”‚ โ”œโ”€โ”€ Hash Tables โ”‚ โ”œโ”€โ”€ Collision Handling โ”‚ โ”‚ โ”œโ”€โ”€ Chaining โ”‚ โ”‚ โ””โ”€โ”€ Open Addressing โ”‚ โ”œโ”€โ”€ Load Factor โ”‚ โ””โ”€โ”€ Rehashing โ”‚ โ”œโ”€โ”€ 9. Trees โ”‚ โ”œโ”€โ”€ Binary Tree โ”‚ โ”‚ โ”œโ”€โ”€ Traversals โ”‚ โ”‚ โ”‚ โ”œโ”€โ”€ Inorder โ”‚ โ”‚ โ”‚ โ”œโ”€โ”€ Preorder โ”‚ โ”‚ โ”‚ โ””โ”€โ”€ Postorder โ”‚ โ”‚ โ”œโ”€โ”€ Height / Depth โ”‚ โ”‚ โ””โ”€โ”€ Diameter โ”‚ โ”œโ”€โ”€ Binary Search Tree โ”‚ โ”œโ”€โ”€ AVL Tree โ”‚ โ”œโ”€โ”€ Red-Black Tree โ”‚ โ”œโ”€โ”€ Segment Tree โ”‚ โ”œโ”€โ”€ Fenwick Tree โ”‚ โ””โ”€โ”€ Heap โ”‚ โ”œโ”€โ”€ Min Heap โ”‚ โ””โ”€โ”€ Max Heap โ”‚ โ”œโ”€โ”€ 10. Graphs โ”‚ โ”œโ”€โ”€ Graph Representation โ”‚ โ”‚ โ”œโ”€โ”€ Adjacency Matrix โ”‚ โ”‚ โ””โ”€โ”€ Adjacency List โ”‚ โ”œโ”€โ”€ BFS โ”‚ โ”œโ”€โ”€ DFS โ”‚ โ”œโ”€โ”€ Topological Sort โ”‚ โ”œโ”€โ”€ Cycle Detection โ”‚ โ”œโ”€โ”€ Shortest Path โ”‚ โ”‚ โ”œโ”€โ”€ Dijkstra โ”‚ โ”‚ โ”œโ”€โ”€ Bellman-Ford โ”‚ โ”‚ โ””โ”€โ”€ Floyd-Warshall โ”‚ โ”œโ”€โ”€ Minimum Spanning Tree โ”‚ โ”‚ โ”œโ”€โ”€ Kruskal โ”‚ โ”‚ โ””โ”€โ”€ Prim โ”‚ โ””โ”€โ”€ Disjoint Set (Union-Find) โ”‚ โ”œโ”€โ”€ 11. Recursion & Backtracking โ”‚ โ”œโ”€โ”€ Recursion Basics โ”‚ โ”œโ”€โ”€ Subsets โ”‚ โ”œโ”€โ”€ Permutations โ”‚ โ”œโ”€โ”€ N-Queens โ”‚ โ””โ”€โ”€ Sudoku Solver โ”‚ โ”œโ”€โ”€ 12. Greedy Algorithms โ”‚ โ”œโ”€โ”€ Activity Selection โ”‚ โ”œโ”€โ”€ Huffman Coding โ”‚ โ”œโ”€โ”€ Fractional Knapsack โ”‚ โ””โ”€โ”€ Job Scheduling โ”‚ โ”œโ”€โ”€ 13. Dynamic Programming โ”‚ โ”œโ”€โ”€ Memoization โ”‚ โ”œโ”€โ”€ Tabulation โ”‚ โ”œโ”€โ”€ 1D DP โ”‚ โ”œโ”€โ”€ 2D DP โ”‚ โ”œโ”€โ”€ Knapsack Variants โ”‚ โ”œโ”€โ”€ Longest Common Subsequence โ”‚ โ”œโ”€โ”€ Longest Increasing Subsequence โ”‚ โ””โ”€โ”€ Matrix Chain Multiplication โ”‚ โ”œโ”€โ”€ 14. Bit Manipulation โ”‚ โ”œโ”€โ”€ Bitwise Operators โ”‚ โ”œโ”€โ”€ Set / Clear Bits โ”‚ โ”œโ”€โ”€ Count Set Bits โ”‚ โ””โ”€โ”€ XOR Tricks โ”‚ โ”œโ”€โ”€ 15. Advanced DSA โ”‚ โ”œโ”€โ”€ Sparse Table โ”‚ โ”œโ”€โ”€ Heavy-Light Decomposition โ”‚ โ”œโ”€โ”€ Treap โ”‚ โ”œโ”€โ”€ Splay Tree โ”‚ โ””โ”€โ”€ Skip List โ”‚ โ””โ”€โ”€ 16. Interview Patterns โ”œโ”€โ”€ Two Pointer Pattern โ”œโ”€โ”€ Sliding Window Pattern โ”œโ”€โ”€ Binary Search Pattern โ”œโ”€โ”€ BFS / DFS Pattern โ”œโ”€โ”€ Greedy Choice Pattern โ””โ”€โ”€ DP Pattern Recognition

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