GrahamCREATE

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Scientific calculator functions and the uses...

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SQL Mindmap SQL can feel overwhelming when you look at it topic by topic. That’s why visual roadmaps work so well. They help you see how concepts connect instead of learning them in isolation. This post walks through SQL from the ground up. Starting with how databases are structured, moving into writing basic queries, filtering data correctly, sorting results, grouping records, applying aggregate calculations, and finally understanding how tables relate through joins and subqueries. If you are a beginner, this helps you understand what to learn first and what naturally comes next. If you already use SQL, it helps you identify gaps and strengthen weak areas. If you are preparing for interviews, it gives you a clean mental framework to explain your approach clearly. Save this post if you want a structured way to approach SQL learning and revision. #sql #learnsql #database

Agentic AI

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From Apollo to Orion: Five Decades of Progress in a Single CapsuleThe 1972 Apollo Command Module was an engineering marvel of its time — a compact home for three astronauts on short, high-stakes missions to the lunar surface. Tight quarters, basic systems, and just enough room to get the job done.Fast forward to the Orion spacecraft flying Artemis II in 2026: a clear leap forward. Larger and more capable, Orion offers significantly more habitable volume for its four-person crew — roughly 60% more interior space than Apollo (about 330 cubic feet versus Apollo’s ~210). It includes modern comforts like a dedicated Universal Waste Management System (a proper microgravity toilet), better life support, and design features built for longer deep-space journeys.This isn’t just a bigger capsule — it represents over half a century of hard-won lessons in human spaceflight. Where Apollo left footprints, Orion is helping us build toward a sustained presence on and around the Moon, paving the way for long-term exploration and eventual journeys deeper into the solar system.The contrast is stunning. The ambition? Even greater.(Credit: NASA)

Electrical and electronics circuit symbols .

Understanding Pulley Systems – Fixed, Movable & Compound

Most people think AI = prompts. That’s outdated. Real AI in 2026 = Agents with skills Here’s the architecture nobody talks about 👇 ➡️ Skills Reusable instruction modules Like training manuals for AI ➡️ Core loop Perceive → Reason → Act → Observe → Repeat This is how agents actually “work” ➡️ MCP servers Connect AI to real tools GitHub, Slack, databases, APIs ➡️ Subagents Delegate tasks like a team Researcher • Coder • Deployer ➡️ Hooks Automate actions Before / After / On trigger ➡️ Memory layer Files + Claude.md = always-on context ➡️ The stack Plugins = Skills + Tools + Subagents + Hooks 💡 Big shift: You’re not using AI anymore You’re building systems that run work Prompting is step 1 Agent design is step 10 ❤️ Like 🔁 Retweet 🔖 Bookmark Follow @MeenakshiYACS for more such posts #AI #ArtificialIntelligence #GenerativeAI #CareerGrowth #Upskilling DISCLAIMER- Image rights belong to the owner. Got it from an open source to download.

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Katherine Johnson was a mathematician at NASA whose precise calculations of orbital mechanics were essential to the success of the first and later U.S. crewed space missions. [✏️ Steve Breen, San Diego Union Tribune]

SQL and Python