CS CORNER Sunita Rai
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Kanal postlari
| 2 | Matn yo'q... | 57 |
| 3 | https://youtu.be/_JMx-HrltSo | 83 |
| 4 | https://youtu.be/LK-F9jwLkfw | 1 |
| 5 | https://youtu.be/LK-F9jwLkfw | 83 |
| 6 | https://youtu.be/iZbH7z7Pu8M?si=-AOlV-eJer7sQfUH | 91 |
| 7 | 🎯 LINKEDIN TIPS FOR DEVELOPERS
Profile optimize karo:
1️⃣ Headline:
"Python Developer | Automation Expert"
NOT "Student" or "Fresher"
2️⃣ Summary:
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• Skills (Python, pandas, etc)
• Projects (2-3 lines)
3️⃣ Featured:
• GitHub repos
• Projects
• Certificates
4️⃣ Post regularly:
• Python tips
• Mini tutorials
Clients LinkedIn se milte hain! 💼 for freelancing, for contractual jobs, for part time jobs
Double Tap ♥️ For More | 104 |
| 8 | ESSENTIAL ARRAY PATTERNS 📌
Every Developer Should Know
1. TWO POINTERS
Find pairs, remove duplicates, compare elements
from both ends, and optimize array traversals.
2. SLIDING WINDOW
Solve subarray and contiguous sequence problems
efficiently without repeatedly recalculating values.
3. PREFIX SUM
Answer range-sum and cumulative queries quickly
by reusing previously computed sums.
4. KADANE'S ALGORITHM
Find the maximum-sum subarray in O(n) time.
5. BINARY SEARCH
Whenever the search space is sorted or monotonic,
think O(log n) instead of scanning everything.
6. CYCLIC SORT
Useful for finding missing, duplicate, or misplaced
numbers when values belong to a known range.
7. MERGE INTERVALS
Handle overlapping, merging, and scheduling
interval problems efficiently.
8. MONOTONIC STACK
Solve next greater/smaller element problems and
many range-optimization problems in O(n).
9. HASH MAP / FREQUENCY COUNT
Count occurrences, detect duplicates, and perform
fast lookups using hashing.
10. SORTING + GREEDY
Sort the data first, then make locally optimal
decisions to reach the best overall result.
✅ THE GOAL
Don't memorize individual solutions. Learn to recognize the pattern behind the problem.
Pattern recognition
→ Faster approach
→ Better complexity
→ Stronger interview performance | 126 |
| 9 | https://www.instagram.com/reel/DdhCjqdKUMy/?stkn=MWExbWxtNjBnODA3cw== | 105 |
| 10 | https://ezylern.com/instructor/sunita-rai
Course Link🔥 | 112 |
| 11 | https://www.linkedin.com/feed/update/urn:li:activity:7509136611314458624 | 121 |
| 12 | Matn yo'q... | 102 |
| 13 | SQL Interview Questions 2026 | 117 |
| 14 | https://www.instagram.com/reel/DdhCjqdKUMy/?stkn=MWExbWxtNjBnODA3cw==
Prompt Library🔥 | 115 |
| 15 | Nokia is hiring
Position: Software Test Engineer
Qualification: Bachelor’s/ Master’s Degree
Experience: Experienced
Location: Bangalore, India (Hybrid)
📌Apply Now: https://jobs.nokia.com/en/sites/CX_1/jobs/preview/37314/?keyword=engineer&location=India&locationId=300000000471745&locationLevel=country&mode=location | 151 |
| 16 | https://youtu.be/5VS_w17siZA?si=VVXHIQL8dph1nW2X | 149 |
| 17 | https://ezylern.com/instructor/sunita-rai
MySQL COMPLETELY FREE with Certificate 🔥🔥🔥✨ | 149 |
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| 19 | https://www.instagram.com/reel/DdgJztYqWOd/?stkn=MXB3eDluN2hyaXVmbg==
Productivity Tools🔥 | 204 |
| 20 | 🚀 GigaChat 3.5 Reasoning — a new open-source LLM that thinks before it answers.
It breaks problems into stages, builds a plan, checks intermediate results, and self-corrects. Built on GigaChat 3.5 Ultra, it explores multiple step-by-step reasoning paths for math & coding, using automated verification to reinforce correct answers.
⚡️ Proprietary linear attention makes it highly efficient on long contexts, retaining key points without re-matching from scratch. It’s also token-efficient: uses 37% fewer tokens than DeepSeek V4 Flash Preview on math problems!
📈 Benchmark gains over non-reasoning version:
• IFBench: 44 → 77
• Natural Plan: 64 → 80
• LiveCodeBench v6: 56 → 85
📦 MIT license. Weights on Hugging Face: fp8 | bf16 | 228 |
