Update smma/grant_starting.md
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Right, let's inventory your actual technical arsenal. What tools, languages, platforms, and capabilities do you currently have access to?
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**Programming Languages:**
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- Python? (and which libraries/frameworks you're comfortable with)
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- SQL? (which databases you've worked with)
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- JavaScript/TypeScript?
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- Others?
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**Data Engineering Tools:**
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- DuckDB (you mentioned this)
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- PostgreSQL, MySQL, SQLite?
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- Cloud platforms (AWS, GCP, Azure)?
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- ETL tools, workflow orchestrators?
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**ML/AI Capabilities:**
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- scikit-learn, pandas, numpy?
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- LLM APIs (OpenAI, Anthropic, local models)?
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- ML frameworks (TensorFlow, PyTorch)?
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- Vector databases, embedding models?
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**Infrastructure & Deployment:**
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- Docker, containerization?
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- Cloud services you have access to?
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- CI/CD pipelines, GitHub Actions?
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- Monitoring/logging tools?
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**Development Environment:**
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- IDE preferences?
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- Local development setup?
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- Version control workflows?
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**Constraints:**
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- Budget limitations?
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- Time constraints?
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- Hardware limitations?
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- Any tools/services you specifically want to avoid?
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This inventory will help us design a solution that plays to your actual strengths rather than theoretical capabilities.
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It's clear you've got a lot of exciting ideas swirling around, and that's fantastic! You've accurately broken down the core problem in government funding: **information overload and noise**. Your instinct to tackle this programmatically is spot on; that's where the real value lies.
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It's clear you've got a lot of exciting ideas swirling around, and that's fantastic! You've accurately broken down the core problem in government funding: **information overload and noise**. Your instinct to tackle this programmatically is spot on; that's where the real value lies.
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