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GROUP FOR PROGRAMMERS🖥

GROUP FOR PROGRAMMERS🖥

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Here we will provide premium free online courses, projects, trainings, internships, placements and jobs related material and updates. Admin : @tcpl20 Buy ads: https://telega.io/c/realgroupforprogrammer Join discussion group: @groupforprogrammerofficial

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کانال GROUP FOR PROGRAMMERS🖥 (@realgroupforprogrammer) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 24 380 مشترک است و جایگاه 8 157 را در دسته آموزش و رتبه 16 642 را در منطقه الهند دارد.

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از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 24 380 مشترک جذب کرده است.

بر اساس آخرین داده‌ها در تاریخ 22 اکتبر, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر -109 و در ۲۴ ساعت گذشته برابر 0 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.

  • وضعیت تأیید: تأیید نشده
  • نرخ تعامل (ER): میانگین تعامل مخاطب 23.61% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 7.58% واکنش نسبت به کل مشترکان کسب می‌کند.
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  • واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 1 است.

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نویسنده این فضا را محل بیان دیدگاه‌های شخصی توصیف می‌کند:
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به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 26 اکتبر, 2026)، کانال همواره به‌روز و دارای دسترسی بالاست. تحلیل‌ها نشان می‌دهد مخاطبان به‌طور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته آموزش تبدیل کرده‌اند.

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💻🧠 10 CODING PATTERNS EVERY BEGINNER SHOULD LEARN FOR INTERVIEWS If you're preparing for coding interviews, don't try to memorize hundreds of solutions. A better strategy is to learn problem-solving patterns. Once you recognize the pattern, many seemingly different problems become much easier. Here are 10 important ones 👇 1️⃣ TWO POINTERS Use two pointers to move through a data structure, often from opposite ends or at different speeds. Commonly useful for: • Sorted arrays • Pair-sum problems • Removing duplicates • Palindrome problems 👉 Instead of repeatedly searching the entire array, two pointers can often reduce unnecessary work. 2️⃣ SLIDING WINDOW Use a moving window to examine a continuous portion of an array or string. Useful for problems involving: • Subarrays • Substrings • Maximum/minimum sums • Longest or shortest ranges Example idea: ""[1][2][3][4][5] Instead of recalculating every range from scratch, maintain a window and update it as it moves. 3️⃣ HASHING Use a Hash Map or Set when you need fast lookup. Useful for: • Finding duplicates • Counting frequencies • Checking whether an element exists • Finding pairs • Tracking previously seen values 👉 If a problem repeatedly asks "Have I seen this before?", think about hashing. 4️⃣ BINARY SEARCH Binary Search repeatedly divides a sorted search space into two parts. Instead of checking: 1 → 2 → 3 → 4 → 5 →... you eliminate half of the remaining possibilities after each comparison. Time Complexity: O(log n) It can also be applied to certain problems where you're searching for the answer within a monotonic range. 5️⃣ FAST & SLOW POINTERS Two pointers move at different speeds. This pattern is commonly used with linked lists to: • Detect cycles • Find the middle node • Determine certain positional relationships A classic example is the cycle-detection technique using a slow pointer and a fast pointer. 6️⃣ STACK A stack follows: LIFO → Last In, First Out Stacks are useful for: • Valid parentheses • Undo operations • Expression evaluation • Backtracking • Monotonic stack problems If you need to process the most recently added item first, consider a stack. 7️⃣ BFS & DFS These are fundamental ways to traverse trees and graphs. BFS → Breadth-First Search Explores nodes level by level. Often useful for: • Shortest path in an unweighted graph • Level-order traversal • Finding nearby nodes DFS → Depth-First Search Explores as deeply as possible before backtracking. Often useful for: • Tree traversal • Graph traversal • Connected components • Backtracking-style problems 8️⃣ BACKTRACKING Backtracking builds a solution step by step. When a choice doesn't work, you undo it and try another possibility. Common problems: Permutations, Combinations, Subsets, Sudoku, N-Queens Basic idea: Choose → Explore → Undo 9️⃣ GREEDY A greedy algorithm makes the best-looking choice at the current step. The key question is: "Can making the best local choice lead to a globally optimal solution?" Greedy approaches appear in problems involving: • Scheduling • Intervals • Resource allocation • Optimization ⚠️ Not every optimization problem can be solved greedily. Claim your Free $5 Bonus Here: https://bit.ly/3wUxw09 LinkedIn profile 👇 https://www.linkedin.com/in/subarno-roy-3b2251374 Join our WhatsApp Channel 👇 https://whatsapp.com/channel/0029VbAi27y0lwghBe9mE42i WhatsApp Community Link 👇 https://chat.whatsapp.com/HPJDqRr6G1sKQIqfdJF3pL 1️⃣ GROUP FOR PROGRAMMERS🖥 📎 Channel Link: [ https://t.me/realgroupforprogrammer ] --- 2️⃣ Coding Community 📎 Channel Link: [ https://t.me/Coding_CommunityOfficial ] --- 3️⃣ Programming Bay 📎 Channel Link: [ https://t.me/programmingbay ] --- 4️⃣ Data Structures and Algorithms 📎 Channel Link: [ https://t.me/datastructuresandalgoofficial ] Share with your College Whatsapp Groups & Friends too All the best 👍👍
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EVERYONE JOIN FAST SO THAT YOU ALL WON'T MISS ANY Coding Contest 🔥 𝗧𝗵𝗼𝘀𝗲 𝘄𝗵𝗼 𝘄𝗮𝗻𝘁 𝘁𝗼 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲 𝗰𝗼𝗺𝗽
EVERYONE JOIN FAST SO THAT YOU ALL WON'T MISS ANY Coding Contest 🔥 𝗧𝗵𝗼𝘀𝗲 𝘄𝗵𝗼 𝘄𝗮𝗻𝘁 𝘁𝗼 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗼𝗿 𝘄𝗮𝗻𝘁 𝘁𝗼 𝗽𝗮𝗿𝘁𝗶𝗰𝗶𝗽𝗮𝘁𝗲 𝗶𝗻 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗰𝗼𝗻𝘁𝗲𝘀𝘁𝘀 𝗷𝗼𝗶𝗻 𝘁𝗵𝗲𝘀𝗲 𝗯𝗲𝗹𝗼𝘄 𝗴𝗿𝗼𝘂𝗽𝘀👇👇. 𝟭. 𝗚𝗲𝗻𝗲𝗿𝗮𝗹 𝗗𝗶𝘀𝗰𝘂𝘀𝘀𝗶𝗼𝗻 𝗚𝗿𝗼𝘂𝗽: https://t.me/cp_discussion_group https://t.me/allcodingsolution_official 𝟮. 𝗟𝗘𝗘𝗧𝗖𝗢𝗗𝗘 𝗗𝗶𝘀𝗰𝘂𝘀𝘀𝗶𝗼𝗻 𝗚𝗿𝗼𝘂𝗽: https://t.me/leetcode_cp 𝟯. 𝗖𝗢𝗗𝗘𝗙𝗢𝗥𝗖𝗘𝗦 𝗗𝗶𝘀𝗰𝘂𝘀𝘀𝗶𝗼𝗻 𝗚𝗿𝗼𝘂𝗽: https://t.me/codeforces_cp 𝟰. 𝗖𝗢𝗗𝗘𝗖𝗛𝗘𝗙 𝗗𝗶𝘀𝗰𝘂𝘀𝘀𝗶𝗼𝗻 𝗚𝗿𝗼𝘂𝗽: https://t.me/codechef_group 𝟱. 𝗖𝗢𝗗𝗜𝗡𝗚 𝗡𝗜𝗡𝗝𝗔𝗦 𝗗𝗜𝗦𝗖𝗨𝗦𝗦𝗜𝗢𝗡 𝗚𝗿𝗼𝘂𝗽: https://t.me/coding_ninjas_discuss 𝟲. 𝗔𝗧𝗖𝗢𝗗𝗘𝗥 𝗗𝗜𝗦𝗖𝗨𝗦𝗦𝗜𝗢𝗡 𝗚𝗥𝗢𝗨𝗣: https://t.me/atcoder_discuss 𝟳. 𝗡𝗘𝗪𝗧𝗢𝗡 𝗦𝗖𝗛𝗢𝗢𝗟 𝗗𝗜𝗦𝗖𝗨𝗦𝗦𝗜𝗢𝗡 𝗚𝗥𝗢𝗨𝗣: https://t.me/Newton_School_Discuss 𝟴. 𝗞𝗔𝗚𝗚𝗟𝗘 𝗗𝗜𝗦𝗖𝗨𝗦𝗦𝗜𝗢𝗡 𝗚𝗥𝗢𝗨𝗣: https://t.me/kaggle_official 9.Smart India Hackathon: https://t.me/sih_official 10. ICPC Official: https://t.me/icpc_Official
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If you are interested to learn SQL for data analytics purpose and clear the interviews, just cover the following topics 1)Install MYSQL workbench 2) Select 3) From 4) where 5) group by 6) having 7) limit 8) Joins (Left, right , inner, self, cross) 9) Aggregate function ( Sum, Max, Min , Avg) 9) windows function ( row num, rank, dense rank, lead, lag, Sum () over) 10)Case 11) Like 12) Sub queries 13) CTE 14) Replace CTE with temp tables 15) Methods to optimize Sql queries 16) Solve problems and case studies at Ankit Bansal youtube channel Trick: Just copy each term and paste on youtube and watch any 10 to 15 minute on each topic and practise it while learning , By doing this , you get the basics understanding 17) Now time to go on youtube and search data analysis end to end project using sql 18) Watch them and practise them end to end. 17) learn integration with power bi In this way , you will not only memorize the concepts but also learn how to implement them in your current working and projects and will be able to defend it in your interviews as well. Claim your Free $5 Bonus Here: https://bit.ly/3wUxw09 LinkedIn profile 👇 https://www.linkedin.com/in/subarno-roy-3b2251374 Join our WhatsApp Channel 👇 https://whatsapp.com/channel/0029VbAi27y0lwghBe9mE42i WhatsApp Community Link 👇 https://chat.whatsapp.com/HPJDqRr6G1sKQIqfdJF3pL 1️⃣ GROUP FOR PROGRAMMERS🖥 📎 Channel Link: [ https://t.me/realgroupforprogrammer ] --- 2️⃣ Coding Community 📎 Channel Link: [ https://t.me/Coding_CommunityOfficial ] --- 3️⃣ Programming Bay 📎 Channel Link: [ https://t.me/programmingbay ] --- 4️⃣ Data Structures and Algorithms 📎 Channel Link: [ https://t.me/datastructuresandalgoofficial ] Share with your College Whatsapp Groups & Friends too All the best 👍👍
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