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Stay safe. Stay aware. 🇮🇳

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🚀 𝗧𝗵𝗲 𝗣𝗼𝘄𝗲𝗿 𝗼𝗳 𝗣𝘆𝘁𝗵𝗼𝗻 𝗶𝗻 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲!

Python is a game-changer in data science! Whether it's data manipulation, visualization, or ML, there's a library for everything. Here's a quick look at some essential tools:

🔹 𝗗𝗮𝘁𝗮 𝗠𝗮𝗻𝗶𝗽𝘂𝗹𝗮𝘁𝗶𝗼𝗻: Pandas, NumPy, Polars, Vaex
🔹 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Matplotlib, Seaborn, Plotly
🔹 𝗦𝘁𝗮𝘁𝘀: SciPy, Statsmodels
🔹 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Scikit-learn, TensorFlow, PyTorch
🔹 𝗡𝗟𝗣: NLTK, spaCy
🔹 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲: Dask, PySpark
🔹 𝗧𝗶𝗺𝗲 𝗦𝗲𝗿𝗶𝗲𝘀: Sktime, Prophet
🔹 𝗪𝗲𝗯 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴: Beautiful Soup, Scrapy

Which libraries have helped you the most?

𝗙𝗼𝗹𝗹𝗼𝘄 @SkillsUnlock for more

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AWS & DevOps Free Videos


Part -1 : https://drive.google.com/drive/folders/1P2MORPWWUDk6MBzLktlahDRHJgh9YNta?usp=sharing

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DeepSeek-V3 Takes the Lead! 🚀📊

AI benchmark showdown! DeepSeek-V3 dominates across multiple categories, hitting 90.2% on MATH 500 and 51.6% on Codeforces.

🏆 How do other models compare?

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🥇 1. Agentset MCP
https://github.com/agentset-ai/mcp-server

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https://github.com/modelcontextprotocol/servers/tree/HEAD/src/filesystem

🥉 3. Notion MCP Server
https://github.com/makenotion/notion-mcp-server

4. MCP Run Python
https://github.com/pydantic/pydantic-ai/tree/main/mcp-run-python

5. Safe Local Python Executor
https://github.com/maxim-saplin/mcp_safe_local_python_executor

6. GitHub MCP Server
https://github.com/github/github-mcp-server

7. Mobile Next MCP Server
https://github.com/mobile-next/mobile-mcp

8. Fetch MCP Server
https://github.com/modelcontextprotocol/servers/tree/main/src/fetch

9. Markdownify MCP Server
https://github.com/zcaceres/markdownify-mcp

10. arXiv MCP
https://github.com/andybrandt/mcp-simple-arxiv

11. Basic Memory
https://memory.basicmachines.co/docs/introduction

12. Cursor MCP Installer
https://github.com/matthewdcage/cursor-mcp-installer

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⚡️ Breaking: OpenAI just integrated MCP into ChatGPT connectors!

🎯 You can now add and manage custom third-party connectors directly from the chatbot — powered by Model Context Protocol (MCP) with OAuth support for seamless authentication.

📚 ChatGPT can now fetch, cite, and synthesize data from your own tools — like internal databases, GitHub, cloud drives, CRMs or even proprietary systems.

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🚀 This marks a new chapter in ChatGPT’s evolution.

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---

📚 Free Materials & Docs:

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📘 Postman Learning Center:
🔗 https://learning.postman.com/

📘 GitHub Learning Lab:
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Write Infrastructure as Code
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Fullstack Web Development 👆

Paypal is hiring Software Engineer

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𝗙𝗼𝗹𝗹𝗼𝘄 t.me/SkillsUnlock 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁

🤖 Use these to learn and understand core principles, through skill development and problem-solving, to memory techniques and creative output.

1. Master Any Topic Quickly with the 80/20 Principle
✅ Prompt:
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✅ Prompt:
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3. Enhance Problem-Solving Skills with Actionable Steps
✅ Prompt:
“Act as a problem-solving expert. Provide me with a detailed, step-by-step guide to tackle [insert your problem], ensuring I can approach similar challenges with confidence.”

4. Strengthen Learning Through Self-Testing
✅ Prompt:
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✅ Prompt:
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✅ Prompt:
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𝗙𝗼𝗹𝗹𝗼𝘄 t.me/SkillsUnlock 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁