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Coding_knowledge

Coding_knowledge

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πŸ’‘ Your Coding Journey Starts Here! Get free courses, coding resources, internships, job updates & much more. Stay ahead in tech with us! β€οΈπŸš€ Join our WhatsApp groupπŸ‘‡ https://whatsapp.com/channel/0029Vaa7CVhCRs1rxJzy1n3D

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πŸ“ˆ Analytical overview of Telegram channel Coding_knowledge

Channel Coding_knowledge (@coding_knwledge01) in the English language segment is an active participant. Currently, the community unites 79 452 subscribers, ranking 1 552 in the Technologies & Applications category and 3 807 in the India region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 79 452 subscribers.

According to the latest data from 30 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -928 over the last 30 days and by -26 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 8.88%. Within the first 24 hours after publication, content typically collects 2.64% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 7 054 views. Within the first day, a publication typically gains 2 102 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 15.
  • Thematic interests: Content is focused on key topics such as q&a, goody, api, stack, analyst.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œπŸ’‘ Your Coding Journey Starts Here! Get free courses, coding resources, internships, job updates & much more. Stay ahead in tech with us! β€οΈπŸš€ Join our WhatsApp groupπŸ‘‡ https://whatsapp.com/channel/0029Vaa7CVhCRs1rxJzy1n3D”

Thanks to the high frequency of updates (latest data received on 31 August, 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.

79 452
Subscribers
-2624 hours
-1917 days
-92830 days
Posts Archive
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πŸŒΈπŸŽ‰ Happy Holi Everyone! πŸŽ‰πŸŒΈ Wishing you a colorful and joyful Holi filled with happiness and success! Holi is all about adding colors to life β€” so why not add a splash of learning and growth to the mix? 🌈 This Holi, take a step towards mastering the future with SQL, Machine Learning, Deep Learning, Computer Vision, Generative AI, Business Analytics, and more! πŸš€ πŸ’₯ Exclusive Holi Offer: Get 45% OFF on SQL Ebook! πŸ‘‰ Master 1000+ SQL Interview Questions and answers and clear your next SQL Interview Easily 🀩 🌟 Don't miss out β€” Buy now and make your career as vibrant as Holi! πŸ‘‰ https://rzp.io/rzp/394u7om Let's make this Holi colorful with knowledge and success! 🌸πŸ”₯

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Hi everyone, join our WhatsApp group to enhance your knowledge, prepare for a better job, and learn things you didn't know! πŸ€―πŸ‘‡πŸ‘‡ https://whatsapp.com/channel/0029Vaa7CVhCRs1rxJzy1n3D

SQL interview Questions and answers πŸ”₯🀯 If you want to Master SQL, purchase the eBook of 1000+ 🀯 SQL Interview Questions and Answers written by me πŸ“šπŸ‘‡ https://rzp.io/rzp/394u7om

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πŸš€ Cracking Leetcode Problems Fast = Recognizing Patterns! Here’s a DSA patterns cheatsheet to solve 90-95% of interview prob
πŸš€ Cracking Leetcode Problems Fast = Recognizing Patterns! Here’s a DSA patterns cheatsheet to solve 90-95% of interview problemsπŸ‘‡ πŸ”Ή Graph β†’ DFS/BFS traversal β†’ Adjacency lists β†’ Cycles/shortest paths πŸ”Ή Sliding Window β†’ Dynamic window sizing β†’ Two pointers β†’ Optimize sums/counts πŸ”Ή Linked Lists β†’ Two Pointers for cycles/middle β†’ Reverse in-place πŸ”Ή Max/Min Subarrays β†’ DP for optimal subarrays β†’ Running sum + maxi/mini β†’ Subproblems πŸ”Ή In-Place Operations β†’ Swap without extra space β†’ Manage indices πŸ”Ή Top/Least K Elements β†’ Heaps or QuickSelect β†’ Window of K elements πŸ”Ή Permutations/Subsets β†’ Backtracking β†’ Prune invalid paths β†’ Revert state πŸ”Ή Common String Problems β†’ Maps/Tries for search β†’ Count frequencies πŸ”Ή No Recursion? β†’ Stacks to simulate β†’ Track state πŸ”Ή Sorted Arrays β†’ Binary Search β†’ Two Pointers πŸ”Ή Trees β†’ DFS/BFS traversal β†’ Handle imbalance πŸ”Ή Other Tips β†’ Maps/Sets for O(1) lookups β†’ Sorting = O(nlogn)

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Coding_knowledge - Statistics & analytics of Telegram channel @coding_knwledge01