| Name | ipuppy-notebooks JSON |
| Version |
0.1.9
JSON |
| download |
| home_page | None |
| Summary | 🐶 Agentic AI-Empowered Data Science Notebooks - A revolutionary notebook environment combining Jupyter-style computing with autonomous AI assistance |
| upload_time | 2025-08-04 04:28:58 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10 |
| license | MIT |
| keywords |
agent
ai
data-science
fastapi
jupyter
notebook
react
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# 🐶 iPuppy Notebooks 🐶
**Agentic AI-Empowered Data Science for the Modern Era** 🚀🐕
A revolutionary notebook environment that combines the power of Jupyter-style computing with intelligent AI assistance. Built with FastAPI backend and React frontend, iPuppy Notebooks puts the fun back in data science! 🎉
## ✨ Features
🐕 **Puppy Scientist AI Agent** - Fully integrated AI assistant that autonomously controls notebooks, writes code, executes analyses, and provides data science expertise
🌙 **Modern Dark Theme** - Sleek monochromatic design with zinc color palette and JetBrains Mono fonts
⚡ **Real-time Execution** - WebSocket-powered code execution with instant feedback and auto-scroll to outputs
📊 **Rich Output Support** - LaTeX math rendering, Plotly charts, matplotlib/seaborn plots, images, videos, and more
🧮 **LaTeX in Markdown** - Write beautiful mathematical expressions with KaTeX rendering (both inline `$x$` and display `$$x$$`)
📱 **Responsive Design** - Works beautifully on desktop and mobile
🔄 **Cell Management** - Create, reorder, expand, and manage code/markdown cells with full programmatic control
⌨️ **Smart Shortcuts** - Shift+Enter to run cells and navigate seamlessly with intelligent tab handling
🤖 **Agentic Operations** - AI can directly manipulate notebooks: add cells, execute code, read outputs, and more
🐍 **Python Kernel** - Full iPython kernel with autocomplete, rich MIME type support, and matplotlib inline display
🎨 **Animated UI** - Puppy spinner animations and smooth transitions throughout
## 🚀 Quick Start
### How to Run 🏃♂️
The fastest way to get iPuppy Notebooks running:
1. **Set up your API keys** 🔑
```bash
export OPENAI_API_KEY="your-openai-api-key"
export GEMINI_API_KEY="your-gemini-api-key"
export ANTHROPIC_API_KEY="your-anthropic-api-key"
# Add any other AI provider keys you want to use
```
2. **Run with uvx** ⚡
```bash
uvx ipuppy-notebooks
```
That's it! iPuppy Notebooks will start and be available at `http://localhost:8000` 🐶
### Development Setup 🛠️
For development or if you prefer to build from source:
#### Prerequisites 🐾
- Python 3.10+
- Node.js 16+
- [uv](https://docs.astral.sh/uv/) package manager
### Installation 📦
1. **Clone the repository** 🐕
```bash
git clone <repository-url>
cd iPuppy-Notebooks
```
2. **Backend Setup** 🐍
```bash
# Install Python dependencies
uv pip install -r pyproject.toml
# Install code_puppy for AI model management (optional but recommended)
# Follow instructions at: https://github.com/anthropics/code_puppy
```
3. **Frontend Setup** ⚛️
```bash
# Install Node dependencies
npm install
# Build the React frontend
npm run build
```
### Launch 🚀
1. **Start the FastAPI server** 🌐
```bash
python main.py
```
2. **Open your browser** 🌍
Navigate to `http://localhost:8000` and start your data science journey! 🐶
## 🎯 Usage Guide
### Getting Started 🐾
1. **Create a Notebook** - Click "create" in the sidebar and give your notebook a name
2. **Add Cells** - Use the "add cell" button to create code or markdown cells
3. **Run Code** - Press the 🚀 run button or use Shift+Enter to execute cells (automatically scrolls to output!)
4. **Chat with Puppy Scientist** - Ask questions and watch the AI autonomously control your notebook, write code, and analyze data
5. **Write Math** - Use LaTeX in markdown cells: `$inline$` or `$$display$$` for beautiful mathematical expressions
6. **Rich Outputs** - Enjoy Plotly charts, matplotlib plots, LaTeX rendering, images, and more
### AI Agent Operations 🤖
The **Puppy Scientist AI Agent** can autonomously control your notebook through these operations:
**Notebook Manipulation:**
- `add_new_cell(cell_index, cell_type, content)` - Add new code/markdown cells
- `delete_cell(cell_index)` - Remove cells
- `alter_cell_content(cell_index, content)` - Modify cell content
- `execute_cell(cell_index)` - Execute cells and wait for results
- `swap_cell_type(cell_index, new_type)` - Switch between code/markdown
- `move_cell(cell_index, new_index)` - Reorder cells
**State Reading (requires active notebook):**
- `list_all_cells()` - Get complete notebook overview
- `read_cell_input(cell_index)` - Read cell source code
- `read_cell_output(cell_index)` - Read execution outputs
**Communication:**
- `share_your_reasoning(reasoning, next_steps)` - Explain thought process
The agent uses these tools to autonomously:
- 📊 Analyze your data and create visualizations
- 💻 Write, execute, and debug Python code
- 📝 Create markdown documentation with LaTeX math
- 🔍 Inspect notebook state and outputs
- 🚀 Implement complete data science workflows
Example conversation:
```
You: "Analyze the iris dataset and create some visualizations"
🐶: *Creates cells, loads data, performs EDA, generates Plotly charts*
```
### Keyboard Shortcuts ⌨️
- **Shift+Enter** - Execute current cell and move to next (with auto-scroll to output)
- **Tab** - Smart indentation and autocomplete in code cells
- **Cell Navigation** - Seamlessly move between cells after execution
### Cell Types 📝
- **Code Cells** - Execute Python code with full IPython kernel, rich outputs, and autocomplete
- **Markdown Cells** - Rich text formatting with LaTeX math support (`$inline$` and `$$display$$`)
## 🏗️ Architecture
```
🐶 iPuppy Notebooks Architecture 🐶
├── 🐍 Backend (FastAPI)
│ ├── main.py # FastAPI server and WebSocket handling
│ ├── ipuppy_notebooks/ # Core notebook functionality
│ │ ├── agent/ # AI agent system
│ │ │ ├── agent.py # DataSciencePuppyAgent main class
│ │ │ ├── tools.py # Notebook manipulation tools
│ │ │ └── prompts.py # System prompts and instructions
│ │ ├── kernels/ # Jupyter kernel management
│ │ │ ├── manager.py # Kernel lifecycle and initialization
│ │ │ └── executor.py # Code execution handling
│ │ ├── frontend_operations.py # Backend→Frontend communication
│ │ └── socket_handlers.py # WebSocket event handling
│ └── notebooks/ # Stored notebook files (.py format)
├── ⚛️ Frontend (React + TypeScript)
│ ├── src/
│ │ ├── components/ # React components
│ │ │ ├── Header.tsx # Top navigation with kernel status
│ │ │ ├── Sidebar.tsx # Notebooks + Puppy Scientist chat
│ │ │ ├── NotebookCell.tsx # Individual cell with LaTeX support
│ │ │ └── NotebookContainer.tsx # Main notebook view
│ │ ├── lib/
│ │ │ └── tabHandler.ts # Smart tab indentation system
│ │ ├── App.tsx # Main application logic & WebSocket
│ │ └── main.tsx # React entry point
│ └── public/
│ └── puppy.svg # Custom puppy favicon 🐕
```
## 🎨 Design Philosophy
iPuppy Notebooks embraces a **modern monochromatic aesthetic** with:
- 🎨 Zinc color palette (grey variants only)
- 🔤 JetBrains Mono monospace typography
- 🌙 Dark theme optimized for long coding sessions
- ✨ Subtle animations and clean interfaces
- 🐕 Playful puppy branding throughout
## 🤖 AI Agent Integration
The **Puppy Scientist** 🐕🦺 is a fully autonomous AI agent powered by pydantic-ai that can:
- 🎯 **Autonomous Operation** - Takes high-level requests and executes complete workflows independently
- 📊 **Data Analysis** - Loads, cleans, analyzes data and creates professional visualizations
- 💻 **Code Generation** - Writes, executes, and debugs Python code in real-time
- 🧮 **Mathematical Communication** - Creates markdown cells with LaTeX equations and explanations
- 🔍 **Notebook Inspection** - Reads existing notebook state and builds upon your work
- 🚀 **Best Practices** - Follows data science methodologies and coding standards
- 🐕 **Personality** - Fun, informal, and pedantic about data science principles (refuses to make pie charts!)
**Supported AI Models:**
- Claude (Anthropic) - Recommended for best performance
- GPT-4 series (OpenAI)
- QWEN models (Alibaba)
- Any model supported by pydantic-ai
The agent maintains conversation history per notebook and can switch between different models on the fly! 🎯
## 🛣️ Roadmap
### Phase 1: Foundation ✅
- [x] Modern React + TypeScript frontend
- [x] FastAPI backend with WebSocket support
- [x] Cell management and execution
- [x] Keyboard shortcuts and navigation
- [x] Modern UI/UX design
### Phase 2: AI Integration ✅
- [x] Fully autonomous Puppy Scientist AI agent
- [x] Real-time notebook manipulation by AI
- [x] Multi-model support (Claude, GPT-4, QWEN, etc.)
- [x] Conversation history per notebook
- [x] Intelligent error handling and guidance
### Phase 3: Rich Content ✅
- [x] LaTeX math rendering in markdown cells
- [x] Comprehensive MIME type support (images, videos, audio, JSON, CSV)
- [x] Plotly charts with proper timing
- [x] Matplotlib/seaborn inline display
- [x] Auto-scroll to outputs on execution
- [x] Animated puppy spinner and smooth UI transitions
### Phase 4: Advanced Features 🔮
- [ ] Collaborative editing
- [ ] Version control integration
- [ ] Plugin system
- [ ] Export to various formats (PDF, HTML, etc.)
- [ ] Custom visualization libraries
- [ ] Advanced data connectors
## 🤝 Contributing
Want to help make iPuppy Notebooks even better? We'd love your contributions! 🐕
1. Fork the repository
2. Create a feature branch
3. Make your improvements
4. Submit a pull request
## 📄 License
MIT License - Feel free to use iPuppy Notebooks for your data science adventures! 🐾
## 🐕 About the Creator
Created with ❤️ by **Michael Pfaffenberger** to revolutionize how we approach data science. iPuppy Notebooks combines the best of Jupyter-style computing with cutting-edge AI assistance - no more bloated IDEs or expensive proprietary tools, just pure, puppy-powered productivity! 🐶✨
**Why iPuppy Notebooks?**
- 🤖 **True AI Partnership** - The agent doesn't just suggest, it actually does the work
- 📊 **Beautiful Math & Viz** - LaTeX rendering and rich outputs make presentations ready
- ⚡ **Lightning Fast** - Modern architecture with real-time updates
- 🎨 **Thoughtful Design** - Every detail crafted for the data science workflow
- 🐕 **Pure Joy** - Data science should be fun, not frustrating!
---
**Ready to unleash your data science potential?** 🐕🚀
*Ask the Puppy Scientist: "Analyze the Titanic dataset and create some visualizations"*
*Watch as it autonomously loads data, performs EDA, and generates beautiful charts!* 🐾📊
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"description": "# \ud83d\udc36 iPuppy Notebooks \ud83d\udc36\n\n**Agentic AI-Empowered Data Science for the Modern Era** \ud83d\ude80\ud83d\udc15\n\nA revolutionary notebook environment that combines the power of Jupyter-style computing with intelligent AI assistance. Built with FastAPI backend and React frontend, iPuppy Notebooks puts the fun back in data science! \ud83c\udf89\n\n## \u2728 Features\n\n\ud83d\udc15 **Puppy Scientist AI Agent** - Fully integrated AI assistant that autonomously controls notebooks, writes code, executes analyses, and provides data science expertise \n\ud83c\udf19 **Modern Dark Theme** - Sleek monochromatic design with zinc color palette and JetBrains Mono fonts \n\u26a1 **Real-time Execution** - WebSocket-powered code execution with instant feedback and auto-scroll to outputs \n\ud83d\udcca **Rich Output Support** - LaTeX math rendering, Plotly charts, matplotlib/seaborn plots, images, videos, and more \n\ud83e\uddee **LaTeX in Markdown** - Write beautiful mathematical expressions with KaTeX rendering (both inline `$x$` and display `$$x$$`) \n\ud83d\udcf1 **Responsive Design** - Works beautifully on desktop and mobile \n\ud83d\udd04 **Cell Management** - Create, reorder, expand, and manage code/markdown cells with full programmatic control \n\u2328\ufe0f **Smart Shortcuts** - Shift+Enter to run cells and navigate seamlessly with intelligent tab handling \n\ud83e\udd16 **Agentic Operations** - AI can directly manipulate notebooks: add cells, execute code, read outputs, and more \n\ud83d\udc0d **Python Kernel** - Full iPython kernel with autocomplete, rich MIME type support, and matplotlib inline display \n\ud83c\udfa8 **Animated UI** - Puppy spinner animations and smooth transitions throughout \n\n## \ud83d\ude80 Quick Start\n\n### How to Run \ud83c\udfc3\u200d\u2642\ufe0f\n\nThe fastest way to get iPuppy Notebooks running:\n\n1. **Set up your API keys** \ud83d\udd11\n ```bash\n export OPENAI_API_KEY=\"your-openai-api-key\"\n export GEMINI_API_KEY=\"your-gemini-api-key\"\n export ANTHROPIC_API_KEY=\"your-anthropic-api-key\"\n # Add any other AI provider keys you want to use\n ```\n\n2. **Run with uvx** \u26a1\n ```bash\n uvx ipuppy-notebooks\n ```\n\nThat's it! iPuppy Notebooks will start and be available at `http://localhost:8000` \ud83d\udc36\n\n### Development Setup \ud83d\udee0\ufe0f\n\nFor development or if you prefer to build from source:\n\n#### Prerequisites \ud83d\udc3e\n- Python 3.10+\n- Node.js 16+\n- [uv](https://docs.astral.sh/uv/) package manager\n\n### Installation \ud83d\udce6\n\n1. **Clone the repository** \ud83d\udc15\n ```bash\n git clone <repository-url>\n cd iPuppy-Notebooks\n ```\n\n2. **Backend Setup** \ud83d\udc0d\n ```bash\n # Install Python dependencies\n uv pip install -r pyproject.toml\n \n # Install code_puppy for AI model management (optional but recommended)\n # Follow instructions at: https://github.com/anthropics/code_puppy\n ```\n\n3. **Frontend Setup** \u269b\ufe0f\n ```bash\n # Install Node dependencies\n npm install\n \n # Build the React frontend\n npm run build\n ```\n\n### Launch \ud83d\ude80\n\n1. **Start the FastAPI server** \ud83c\udf10\n ```bash\n python main.py\n ```\n\n2. **Open your browser** \ud83c\udf0d\n Navigate to `http://localhost:8000` and start your data science journey! \ud83d\udc36\n\n## \ud83c\udfaf Usage Guide\n\n### Getting Started \ud83d\udc3e\n1. **Create a Notebook** - Click \"create\" in the sidebar and give your notebook a name\n2. **Add Cells** - Use the \"add cell\" button to create code or markdown cells \n3. **Run Code** - Press the \ud83d\ude80 run button or use Shift+Enter to execute cells (automatically scrolls to output!)\n4. **Chat with Puppy Scientist** - Ask questions and watch the AI autonomously control your notebook, write code, and analyze data\n5. **Write Math** - Use LaTeX in markdown cells: `$inline$` or `$$display$$` for beautiful mathematical expressions\n6. **Rich Outputs** - Enjoy Plotly charts, matplotlib plots, LaTeX rendering, images, and more\n\n### AI Agent Operations \ud83e\udd16\n\nThe **Puppy Scientist AI Agent** can autonomously control your notebook through these operations:\n\n**Notebook Manipulation:**\n- `add_new_cell(cell_index, cell_type, content)` - Add new code/markdown cells\n- `delete_cell(cell_index)` - Remove cells\n- `alter_cell_content(cell_index, content)` - Modify cell content\n- `execute_cell(cell_index)` - Execute cells and wait for results\n- `swap_cell_type(cell_index, new_type)` - Switch between code/markdown\n- `move_cell(cell_index, new_index)` - Reorder cells\n\n**State Reading (requires active notebook):**\n- `list_all_cells()` - Get complete notebook overview\n- `read_cell_input(cell_index)` - Read cell source code\n- `read_cell_output(cell_index)` - Read execution outputs\n\n**Communication:**\n- `share_your_reasoning(reasoning, next_steps)` - Explain thought process\n\nThe agent uses these tools to autonomously:\n- \ud83d\udcca Analyze your data and create visualizations\n- \ud83d\udcbb Write, execute, and debug Python code\n- \ud83d\udcdd Create markdown documentation with LaTeX math\n- \ud83d\udd0d Inspect notebook state and outputs\n- \ud83d\ude80 Implement complete data science workflows\n\nExample conversation:\n```\nYou: \"Analyze the iris dataset and create some visualizations\"\n\ud83d\udc36: *Creates cells, loads data, performs EDA, generates Plotly charts*\n```\n\n### Keyboard Shortcuts \u2328\ufe0f\n- **Shift+Enter** - Execute current cell and move to next (with auto-scroll to output)\n- **Tab** - Smart indentation and autocomplete in code cells\n- **Cell Navigation** - Seamlessly move between cells after execution\n\n### Cell Types \ud83d\udcdd\n- **Code Cells** - Execute Python code with full IPython kernel, rich outputs, and autocomplete\n- **Markdown Cells** - Rich text formatting with LaTeX math support (`$inline$` and `$$display$$`)\n\n## \ud83c\udfd7\ufe0f Architecture\n\n```\n\ud83d\udc36 iPuppy Notebooks Architecture \ud83d\udc36\n\u251c\u2500\u2500 \ud83d\udc0d Backend (FastAPI)\n\u2502 \u251c\u2500\u2500 main.py # FastAPI server and WebSocket handling\n\u2502 \u251c\u2500\u2500 ipuppy_notebooks/ # Core notebook functionality\n\u2502 \u2502 \u251c\u2500\u2500 agent/ # AI agent system\n\u2502 \u2502 \u2502 \u251c\u2500\u2500 agent.py # DataSciencePuppyAgent main class\n\u2502 \u2502 \u2502 \u251c\u2500\u2500 tools.py # Notebook manipulation tools\n\u2502 \u2502 \u2502 \u2514\u2500\u2500 prompts.py # System prompts and instructions\n\u2502 \u2502 \u251c\u2500\u2500 kernels/ # Jupyter kernel management\n\u2502 \u2502 \u2502 \u251c\u2500\u2500 manager.py # Kernel lifecycle and initialization\n\u2502 \u2502 \u2502 \u2514\u2500\u2500 executor.py # Code execution handling\n\u2502 \u2502 \u251c\u2500\u2500 frontend_operations.py # Backend\u2192Frontend communication\n\u2502 \u2502 \u2514\u2500\u2500 socket_handlers.py # WebSocket event handling\n\u2502 \u2514\u2500\u2500 notebooks/ # Stored notebook files (.py format)\n\u251c\u2500\u2500 \u269b\ufe0f Frontend (React + TypeScript)\n\u2502 \u251c\u2500\u2500 src/\n\u2502 \u2502 \u251c\u2500\u2500 components/ # React components\n\u2502 \u2502 \u2502 \u251c\u2500\u2500 Header.tsx # Top navigation with kernel status\n\u2502 \u2502 \u2502 \u251c\u2500\u2500 Sidebar.tsx # Notebooks + Puppy Scientist chat\n\u2502 \u2502 \u2502 \u251c\u2500\u2500 NotebookCell.tsx # Individual cell with LaTeX support\n\u2502 \u2502 \u2502 \u2514\u2500\u2500 NotebookContainer.tsx # Main notebook view\n\u2502 \u2502 \u251c\u2500\u2500 lib/\n\u2502 \u2502 \u2502 \u2514\u2500\u2500 tabHandler.ts # Smart tab indentation system\n\u2502 \u2502 \u251c\u2500\u2500 App.tsx # Main application logic & WebSocket\n\u2502 \u2502 \u2514\u2500\u2500 main.tsx # React entry point\n\u2502 \u2514\u2500\u2500 public/\n\u2502 \u2514\u2500\u2500 puppy.svg # Custom puppy favicon \ud83d\udc15\n```\n\n## \ud83c\udfa8 Design Philosophy\n\niPuppy Notebooks embraces a **modern monochromatic aesthetic** with:\n- \ud83c\udfa8 Zinc color palette (grey variants only)\n- \ud83d\udd24 JetBrains Mono monospace typography\n- \ud83c\udf19 Dark theme optimized for long coding sessions\n- \u2728 Subtle animations and clean interfaces\n- \ud83d\udc15 Playful puppy branding throughout\n\n## \ud83e\udd16 AI Agent Integration\n\nThe **Puppy Scientist** \ud83d\udc15\u200d\ud83e\uddba is a fully autonomous AI agent powered by pydantic-ai that can:\n- \ud83c\udfaf **Autonomous Operation** - Takes high-level requests and executes complete workflows independently\n- \ud83d\udcca **Data Analysis** - Loads, cleans, analyzes data and creates professional visualizations\n- \ud83d\udcbb **Code Generation** - Writes, executes, and debugs Python code in real-time\n- \ud83e\uddee **Mathematical Communication** - Creates markdown cells with LaTeX equations and explanations\n- \ud83d\udd0d **Notebook Inspection** - Reads existing notebook state and builds upon your work\n- \ud83d\ude80 **Best Practices** - Follows data science methodologies and coding standards\n- \ud83d\udc15 **Personality** - Fun, informal, and pedantic about data science principles (refuses to make pie charts!)\n\n**Supported AI Models:**\n- Claude (Anthropic) - Recommended for best performance\n- GPT-4 series (OpenAI) \n- QWEN models (Alibaba)\n- Any model supported by pydantic-ai\n\nThe agent maintains conversation history per notebook and can switch between different models on the fly! \ud83c\udfaf\n\n## \ud83d\udee3\ufe0f Roadmap\n\n### Phase 1: Foundation \u2705\n- [x] Modern React + TypeScript frontend\n- [x] FastAPI backend with WebSocket support\n- [x] Cell management and execution\n- [x] Keyboard shortcuts and navigation\n- [x] Modern UI/UX design\n\n### Phase 2: AI Integration \u2705\n- [x] Fully autonomous Puppy Scientist AI agent\n- [x] Real-time notebook manipulation by AI\n- [x] Multi-model support (Claude, GPT-4, QWEN, etc.)\n- [x] Conversation history per notebook\n- [x] Intelligent error handling and guidance\n\n### Phase 3: Rich Content \u2705\n- [x] LaTeX math rendering in markdown cells\n- [x] Comprehensive MIME type support (images, videos, audio, JSON, CSV)\n- [x] Plotly charts with proper timing\n- [x] Matplotlib/seaborn inline display\n- [x] Auto-scroll to outputs on execution\n- [x] Animated puppy spinner and smooth UI transitions\n\n### Phase 4: Advanced Features \ud83d\udd2e\n- [ ] Collaborative editing\n- [ ] Version control integration\n- [ ] Plugin system\n- [ ] Export to various formats (PDF, HTML, etc.)\n- [ ] Custom visualization libraries\n- [ ] Advanced data connectors\n\n## \ud83e\udd1d Contributing\n\nWant to help make iPuppy Notebooks even better? We'd love your contributions! \ud83d\udc15\n\n1. Fork the repository\n2. Create a feature branch\n3. Make your improvements\n4. Submit a pull request\n\n## \ud83d\udcc4 License\n\nMIT License - Feel free to use iPuppy Notebooks for your data science adventures! \ud83d\udc3e\n\n## \ud83d\udc15 About the Creator\n\nCreated with \u2764\ufe0f by **Michael Pfaffenberger** to revolutionize how we approach data science. iPuppy Notebooks combines the best of Jupyter-style computing with cutting-edge AI assistance - no more bloated IDEs or expensive proprietary tools, just pure, puppy-powered productivity! \ud83d\udc36\u2728\n\n**Why iPuppy Notebooks?**\n- \ud83e\udd16 **True AI Partnership** - The agent doesn't just suggest, it actually does the work\n- \ud83d\udcca **Beautiful Math & Viz** - LaTeX rendering and rich outputs make presentations ready\n- \u26a1 **Lightning Fast** - Modern architecture with real-time updates\n- \ud83c\udfa8 **Thoughtful Design** - Every detail crafted for the data science workflow\n- \ud83d\udc15 **Pure Joy** - Data science should be fun, not frustrating!\n\n---\n\n**Ready to unleash your data science potential?** \ud83d\udc15\ud83d\ude80 \n*Ask the Puppy Scientist: \"Analyze the Titanic dataset and create some visualizations\"* \n*Watch as it autonomously loads data, performs EDA, and generates beautiful charts!* \ud83d\udc3e\ud83d\udcca",
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