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CCoders World

Coders World

@codersworld1 · channel · Tech · indexed since 2026-07-19
148 985subscribers
10 254average post reach
1posts in 30 days
49posts in the index
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Coders World
15+ Must Watch Movies for Programmers🧑‍💻🤖 1. The Matrix 2. The Social Network 3. Source Code 4. The Imitation Game 5. Silicon Valley 6. Mr. Robot 7. Jobs 8. The Founder 9. The Social Dilemma 10. The Great Hack 11. Halt and Catch Fire 12. Wargames 13. Hackers 14. Snowden 15. Who Am I Happy Coding ♥️
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drawSVG.py · 3 KB · click to show
SVG Drawing with Turtle Graphics in Python
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Portfolio Source Code.zip · 848 KB · click to show
Responsive Portfolio using HTML, CSS, JS 🧑‍💻❤️
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Portfolio Project using HTML & CSS.zip · 814 KB · click to show
Portfolio Project With HTML and CSS
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SQL Complete Handwritten Notes.pdf · 19.8 MB · click to show
SQL Complete Handwritten Notes🗒
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🚀 Free Courses & Certifications from Google, AWS & Microsoft! 🎓 Just found some amazing 100% FREE resources from top tech giants — perfect for boosting your resume and skills 💼 👇 Grab them here: 🔹 Google Certificates – https://grow.google/certificates/ 🔹 Google Cloud – https://cloud.google.com/learn 🔹 Skillshop (Google Ads, etc.) – https://skillshop.withgoogle.com/ 🔹 AWS Skill Builder – https://aws.amazon.com/training/digital/ 🔹 AWS Educate – https://aws.amazon.com/education/awseducate/ 🔹 Microsoft Learn – https://learn.microsoft.com/en-us/training/ 🔹 Free Microsoft Exams (Students) – https://aka.ms/student-certification Enroll now and thank me later 😉🔥
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Mongo-DB Complete Handwritten Notes.pdf · 24.2 MB · click to show
Mongo-DB Complete Handwritten Notes 📝
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Node JS Handwritten Notes.pdf · 53.3 MB · click to show
Node JS Complete Handwritten Notes 📝
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C# Handwritten Notes.pdf · 38.9 MB · click to show
Complete C# Handwritten Notes📝
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IMG_9726.MP4 · 2.7 MB · click to show
🚀 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
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