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Campus Monk by Rachit Rastogi

Campus Monk by Rachit Rastogi

الذهاب إلى القناة على Telegram

Your one stop for knowledge in a better perspective !

إظهار المزيد

📈 نظرة تحليلية على قناة تيليجرام Campus Monk by Rachit Rastogi

تُعد قناة Campus Monk by Rachit Rastogi (@rachityoutube) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 10 711 مشتركاً، محتلاً المرتبة 18 355 في فئة التعليم والمرتبة 36 044 في منطقة الهند.

📊 مؤشرات الجمهور والحراك

منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 10 711 مشتركاً.

بحسب آخر البيانات بتاريخ 02 سبتمبر, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار -124، وفي آخر 24 ساعة بمقدار 0، مع بقاء الوصول العام مرتفعاً.

  • حالة التحقق: غير موثّقة
  • معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 1.09‎%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 0.47‎% من ردود الفعل نسبةً إلى إجمالي المشتركين.
  • وصول المنشورات: يحصل كل منشور على متوسط 117 مشاهدة. وخلال اليوم الأول يجمع عادةً 50 مشاهدة.
  • التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 0.
  • الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل tcs, sankalp, engineer, prep, intern.

📝 الوصف وسياسة المحتوى

يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
Your one stop for knowledge in a better perspective !

بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 03 سبتمبر, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التعليم.

10 711
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-187 أيام
-12430 أيام

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Repost from N/a
🎯 CODING CHALLENGE #12 - Group Anagrams Difficulty: Medium Given an array of strings, group the anagrams together.
Input: ["eat","tea","tan","ate","nat","bat"]
Output: [["eat","tea","ate"],["tan","nat"],["bat"]]
💡 Hint: Two words are anagrams if and only if their sorted characters are identical. That sorted string makes a perfect hash key. Solution:
python
from collections import defaultdict

def group_anagrams(strs):
    groups = defaultdict(list)
    for s in strs:
        key = ''.join(sorted(s))
        groups[key].append(s)
    return list(groups.values())
Complexity: O(n · k log k) time, where n is the number of strings and k is the max string length - sorting each string dominates. Space O(n · k).

Common mistake: Trying to compare every pair of strings directly (O(n²) comparisons) instead of using a canonical key to bucket them in one pass. Any time you see "group things that share a property," ask: "what's the key I can compute once per item?"

Bonus optimization: instead of sorting (O(k log k)), you can build a character-count tuple as the key in O(k) time - faster for long strings. Worth mentioning if you want to show extra depth.

Sorted-string-as-key or character-count-as-key - which would you reach for first? 👇

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Company - Cisco Role - Software QA Engineer Location - Bengaluru, Karnataka, India Apply link - https://careers.cisco.com/global/en/job/CISCISGLOBAL2015350EXTERNALENGLOBAL/Software-QA-Engineer Company - Blacksof Role - Project Trainee Location - Indore, Madhya Pradesh, India APply link - https://www.linkedin.com/jobs/view/4458891570 Company - CPL Aromas Role - Trainee Location - Mumbai, Maharashtra, India APply link - https://careers.cplaromas.com/job/Trainee/733425222/ [02/09, 15:20] null: Company - CoTrav Role - Data Entry & Operations Associate Location - Gurugram, Haryana, India Apply link - https://www.linkedin.com/jobs/view/4459202103 Company - IQVIA Role - Data Analyst Location - Pune/Pimpri-Chinchwad Area Apply link - https://jobs.iqvia.com/en/jobs/R1553302-0 Company - Sealed Air Corporation Role - IT Business Analyst I Location - Mumbai Metropolitan Region Apply link - https://jobs.sealedair.com/job/Mumbai-IT-Business-Analyst-I/56229-en_US/ Company Name: IBM Post Name: Data Scientist-Artificial Intelligence Expected Salary: ₹5-8 LPA* Job Location: Bangalore JobType: Freshers/ Experienced https://careers.ibm.com/en_US/careers/JobDetail?jobId=86123 Company - Textron India Private Limited Role - Graduate Engineer -Engineering Data Management Location - Bengaluru East, Karnataka, India Apply link - https://careers.textron.com/bangalore-ind/graduate-engineer-engineering-data-management/962CF3A5DBF144BAACCC857D2A173F85/job/ Company - Kensara Role - HIMS Engineer Location - Indore, Madhya Pradesh, India Apply link - https://www.linkedin.com/jobs/view/4459215533 Company - IdeaTown Investments Role - Research Analyst Location - Tamil Nadu, India Apply link - https://www.linkedin.com/jobs/view/4459212706 Company - Rapidcloud Systems and Solutions Private Limited Role - Data Engineer Location - Bengaluru, Karnataka, India Apply link - https://www.linkedin.com/jobs/view/4459224463 Company - Purplle.com Role - Business Analyst Location - Mumbai, Maharashtra, India APply link - https://purplle.turbohire.co/job/publicjobs/9e13b6c4-8e4c-4eff-a084-5c46bf28e37e ➖➖➖➖➖➖➖➖➖➖➖➖➖ Join our community for more ✨❤️ 📌Campusmonk Blogs: https://campusmonk.in/articles/ 📌Instagram: https://www.instagram.com/hustlewithcampusmonk/ 📌 Telegram: https://t.me/Campusmonk2025 📌LinkedIn: https://www.linkedin.com/company/campusmonk All the best 👍👍
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Adobe is hiring SDE For 2021, 2022, 2023, 2024 gards Location: Noida https://careers.adobe.com/us/en/job/ADOBUSR171208EXTERNALENUS/Software-Development-Engineer Like for more job opportunities ❤️ ➖➖➖➖➖➖➖➖➖➖➖➖➖ Join our community for more ✨❤️ 📌Campusmonk Blogs: https://campusmonk.in/articles/ 📌Instagram: https://www.instagram.com/hustlewithcampusmonk/ 📌 Telegram: https://t.me/Campusmonk2025 📌LinkedIn: https://www.linkedin.com/company/campusmonk All the best 👍👍
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4
Barclays is hiring Software Engineer For 2022, 2023, 2024, 2025 gards Location: Chennai https://search.jobs.barclays/job/-/-/13015/98506859296 Like for more job opportunities ❤️ ➖➖➖➖➖➖➖➖➖➖➖➖➖ Join our community for more ✨❤️ 📌Campusmonk Blogs: https://campusmonk.in/articles/ 📌Instagram: https://www.instagram.com/hustlewithcampusmonk/ 📌 Telegram: https://t.me/Campusmonk2025 📌LinkedIn: https://www.linkedin.com/company/campusmonk All the best 👍👍
47
5
Purplle is hiring Product Analyst 🚀 Experience : 1+ Year Location : Mumbai Apply link : https://purplle.turbohire.co/job/publicjobs/937a330e-d1b3-4acd-8573-c111f7edec30?src=linkedin ➖➖➖➖➖➖➖➖➖➖➖➖➖ Join our community for more ✨❤️ 📌Campusmonk Blogs: https://campusmonk.in/articles/ 📌Instagram: https://www.instagram.com/hustlewithcampusmonk/ 📌 Telegram: https://t.me/Campusmonk2025 📌LinkedIn: https://www.linkedin.com/company/campusmonk All the best 👍👍
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🚨 Hi Champ 👋 Today, Okesh sir will take your LIVE SESSION, Don’t miss it! 🔥 👩‍🏫 Faculty: Okesh sir 📘 Topic: Verbal Abil
🚨 Hi Champ 👋 Today, Okesh sir will take your LIVE SESSION, Don’t miss it! 🔥 👩‍🏫 Faculty: Okesh sir 📘 Topic: Verbal Ability PREP ⏰ Time: : 6:15 PM 📅 Date: 03/09/2026 🎥 batch details: https://youtu.be/k3OD0kNgSuI?si=XHQqJ9lyWCUgWZmw 👉 NEW SANKALP 9.0 — 2027: https://campusmonk123.netlify.app/ ━━━━━━━━━━━━━━ 📚 Already prefer recorded learning? AARAMBH 1.0 Apti + Verbal + Coding + Mock Tests & more 👉 https://bfwhv.courses.store/830023 ━━━━━━━━━━━━━━ 🎓 2028 Batch Students: NEW SANKALP 2028 👉https://bfwhv.courses.store/877885 Team Campusmonk 🔥
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💻 *Programming Tips for Beginners — Part 3* 🚀 When you're learning to code, making mistakes is completely normal. But some mistakes can slow your progress unnecessarily. Here are some of the most common ones beginners should avoid 👇 *1️⃣ Trying to Learn Everything at Once* Python + Java + C++ + JavaScript + React + AI + Cloud... Don't do this. Pick one path and build a strong foundation first. Depth > Variety *2️⃣ Too much tutorials* Watching tutorial after tutorial can feel productive without actually improving your coding ability. Learn a concept. Then close the tutorial and build something with it. Learn → Build → Get Stuck → Solve → Repeat *3️⃣ Memorizing Code* Don't try to memorize every syntax or solution. Understand the logic. You can always look up syntax later. Understanding > Memorization *4️⃣ Copying Code Without Understanding It* Copy-pasting code may fix your immediate problem, but it doesn't necessarily teach you anything. Before using someone else's code, ask: 👉 What does it do? 👉 Why does it work? 👉 What would happen if I changed it? *5️⃣ Avoiding Difficult Problems* If you only solve problems you already know how to solve, your skills won't grow much. Challenge yourself. Getting stuck is often where the real learning happens. *6️⃣ Ignoring Error Messages* Don't immediately search: "My code doesn't work." Read the actual error message first. It often tells you: 📍 Where the problem occurred 🔍 What went wrong 💡 Sometimes even how to fix it Learning to read errors is a superpower. *7️⃣ Writing Everything in One Huge Function* Beginners often put their entire program into one function or file. Instead, break your program into smaller logical pieces. Small functions are easier to: ✅ Understand ✅ Test ✅ Debug ✅ Reuse *8️⃣ Ignoring Code Readability* Code isn't written only for computers. Other developers—including your future self—will read it. Use: - Meaningful variable names - Consistent formatting - Small functions - Clear structure *9️⃣ Focusing Only on Syntax* Knowing syntax doesn't make you a good programmer. The real skill is: Understanding a problem → Designing a solution → Implementing it → Testing it → Improving it *🔟 Giving Up Too Quickly* You will encounter problems that make you think: "I'll never understand this." Keep going. Read the documentation. Try another approach. Break the problem down. Take a short break and return to it. Programming becomes easier through repeated exposure to difficult problems. 🧠 You don't need to become an expert overnight. You need to improve one concept, one problem, and one project at a time. 🚀 Don't aim to write perfect code. Aim to understand your code and improve it. *Double Tap ❤️ For More*
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🌟✨ Word of the Day ✨🌟 Sagacious (adjective – C1) 🔊 /səˈɡeɪ.ʃəs/ (suh-GAY-shus) 💡 Meaning: Having good judgment and wisdom. 📌 She gave a sagacious piece of advice. 🧠 Mini-Story Trick: Sagacious → “Sage” 🌿 Imagine a wise sage 🧙‍♂️ giving smart advice that solves everyone’s problems. 💡 👉 Sagacious = Wise + Intelligent 📝 Syn: Wise, Judicious | Ant: Foolish, Unwise ⸻ ✨ Double Tap ❤️ if you’re learning English every day! ⚡️ Share with friends 🙌
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🌟✨ Idiom of the Day ✨🌟 The tip of the iceberg 🧊 💡 Meaning: A small, visible part of a much larger problem or situation. 📌 These complaints are just the tip of the iceberg. 🧠 Mini-Story Trick: Imagine seeing only the top of a huge iceberg 🧊 above the water, while most of it remains hidden underneath 🌊. 👉 Tip of the iceberg = Small visible part of something much bigger 📝 Syn: Small part, Surface | Ant: Whole picture ⸻ ✨ Double Tap ❤️ if you’re learning English every day! ⚡️ Share with friends 🙌
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💭 Ek baat honestly batao… Jab placement season start hoga na, tab tumhare paas 2 options honge: “Kaash maine pehle prepare k
💭 Ek baat honestly batao… Jab placement season start hoga na, tab tumhare paas 2 options honge: “Kaash maine pehle prepare kiya hota…” ya “Good. I was ready for this.” 🔥 Difference sirf preparation ke start hone ka hai. 2027 students - agar TCS, Accenture, Cognizant, Capgemini, Wipro & other MNCs ka target hai, toh ab sirf YouTube videos save karne ka time nahi hai. 🎥 batch details: https://youtu.be/k3OD0kNgSuI?si=XHQqJ9lyWCUgWZmw 👉 NEW SANKALP 9.0 — 2027: https://campusmonk123.netlify.app/ ━━━━━━━━━━━━━━ 📚 Already prefer recorded learning? AARAMBH 1.0 Apti + Verbal + Coding + Mock Tests & more 👉 https://bfwhv.courses.store/830023 ━━━━━━━━━━━━━━ 🎓 2028 Batch Students: NEW SANKALP 2028 👉https://bfwhv.courses.store/877885
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Amtech is hiring Associate Software Engineer For 2023, 2024, 2025 grads Location: Bangalore https://engradar.com/jobs/greenhouse:amtechsoftware:4388057009 ➖➖➖➖➖➖➖➖➖➖➖➖➖ Join our community for more ✨❤️ 📌Campusmonk Blogs: https://campusmonk.in/articles/ 📌Instagram: https://www.instagram.com/hustlewithcampusmonk/ 📌 Telegram: https://t.me/Campusmonk2025 📌LinkedIn: https://www.linkedin.com/company/campusmonk All the best 👍👍
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Pravah is hiring Forward Deployed Engineer For 2023, 2024, 2025 grads Location: Multiple https://jobs.ashbyhq.com/pravah/1e002f56-0b3c-4908-9bee-fb94215bfead ➖➖➖➖➖➖➖➖➖➖➖➖➖ Join our community for more ✨❤️ 📌Campusmonk Blogs: https://campusmonk.in/articles/ 📌Instagram: https://www.instagram.com/hustlewithcampusmonk/ 📌 Telegram: https://t.me/Campusmonk2025 📌LinkedIn: https://www.linkedin.com/company/campusmonk All the best 👍👍
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Adbrew is hiring SDE Intern For 2025, 2026 grads https://adbrew.notion.site/SDE-Intern-Adbrew-38b6f6887f14802ba9a4edd56a03d2d9 ➖➖➖➖➖➖➖➖➖➖➖➖➖ Join our community for more ✨❤️ 📌Campusmonk Blogs: https://campusmonk.in/articles/ 📌Instagram: https://www.instagram.com/hustlewithcampusmonk/ 📌 Telegram: https://t.me/Campusmonk2025 📌LinkedIn: https://www.linkedin.com/company/campusmonk All the best 👍👍
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Company name: Hevo Data Role: SDE1 Batch Eligible: 2026 graduates Location: Bangalore Job Description: https://jobs.lever.co/hevodata/6cbbe304-e065-4711-bf3e-756795d2bc2a Apply Link: https://docs.google.com/forms/d/e/1FAIpQLSdUXEWZMGd9k4A_Thkhl_tya1Zcu5ROnWP9SjMKhHSQzKUGog/viewform ➖➖➖➖➖➖➖➖➖➖➖➖➖ Join our community for more ✨❤️ 📌Campusmonk Blogs: https://campusmonk.in/articles/ 📌Instagram: https://www.instagram.com/hustlewithcampusmonk/ 📌 Telegram: https://t.me/Campusmonk2025 📌LinkedIn: https://www.linkedin.com/company/campusmonk All the best 👍👍
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🚨 Hi Champ 👋 Today, Vishal sir will take your LIVE SESSION, Don’t miss it! 🔥 👩‍🏫 Faculty: Vishal sir 📘 Topic: GDPI ⏰ Ti
🚨 Hi Champ 👋 Today, Vishal sir will take your LIVE SESSION, Don’t miss it! 🔥 👩‍🏫 Faculty: Vishal sir 📘 Topic: GDPI ⏰ Time: : 8:30 PM 📅 Date: 02/09/2026 🎥 batch details: https://youtu.be/k3OD0kNgSuI?si=XHQqJ9lyWCUgWZmw 👉 NEW SANKALP 9.0 — 2027: https://campusmonk123.netlify.app/ ━━━━━━━━━━━━━━ 📚 Already prefer recorded learning? AARAMBH 1.0 Apti + Verbal + Coding + Mock Tests & more 👉 https://bfwhv.courses.store/830023 ━━━━━━━━━━━━━━ 🎓 2028 Batch Students: NEW SANKALP 2028 👉https://bfwhv.courses.store/877885 Team Campusmonk 🔥
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🌟✨ Word of the Day ✨🌟 Adamant (adjective – C1) 🔊 /ˈæd.ə.mənt/ (AD-uh-muhnt) 💡 Meaning: Refusing to change your opinion or decision. 📌 She was adamant that she would not change her decision. 🧠 Mini-Story Trick: Adamant → “Adam + Ant” 🧑🐜 Imagine Adam refusing to move an ant from his desk, saying, “Absolutely not!” 😤 👉 Adamant = Firm + Unwilling to change 📝 Syn: Unyielding, Stubborn | Ant: Flexible, Compliant ⸻ ✨ Double Tap ❤️ if you’re learning English every day! ⚡️ Share with friends 🙌
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🌟✨ Phrasal Verb of the Day ✨🌟 Turn down (phrasal verb – B1) 💡 Meaning: To reject or refuse something. 📌 She turned down the job offer. 🧠 Mini-Story Trick: Imagine someone offering you a glass of juice 🥤, but you turn your face down 🙅‍♂️. 👉 Turn down = Refuse / Reject 📝 Syn: Reject, Refuse | Ant: Accept ⸻ ✨ Double Tap ❤️ if you’re learning English every day! ⚡️ Share with friends 🙌
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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. *🔟 DYNAMIC PROGRAMMING* Dynamic Programming, or DP, is used when a problem can be broken into *smaller overlapping subproblems* and their results can be reused. Two important ideas are: 👉 *Memoization* → Store results of previously solved states. 👉 *Tabulation* → Build results iteratively from smaller states. DP often appears in problems involving: Sequences, Paths, Knapsack-style problems, Optimization, Counting possibilities 🔥 *HOW TO RECOGNIZE THE PATTERN* 🔹 Continuous subarray/substring → Sliding Window 🔹 Sorted data + search → Binary Search 🔹 Pair or opposite-end comparison → Two Pointers 🔹 Need fast lookup → Hashing 🔹 Most recent item first → Stack 🔹 Tree/graph traversal → BFS / DFS 🔹 Explore multiple possibilities → Backtracking 🔹 Repeated subproblems → Dynamic Programming 🔹 Local choices with provable optimality → Greedy
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📝 Quick Quiz 👇 👉 Choose the antonym of “Obsolete”: A) ❤️ Outdated B) 👍 Ancient C) 😮 Modern D) 🙏 Old-fashioned ⚡️ Comment your answer!
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