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Streamlit\n\n[![CI](https://github.com/dimipash/Streamlit_portfolio/actions/workflows/ci.yml/badge.svg)](https://github.com/dimipash/Streamlit_portfolio/actions/workflows/ci.yml)\n[![codecov](https://codecov.io/gh/dimipash/Streamlit_portfolio/branch/main/graph/badge.svg)](https://codecov.io/gh/dimipash/Streamlit_portfolio)\n[![Python 3.13+](https://img.shields.io/badge/python-3.13+-blue.svg)](https://www.python.org/downloads/)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n[![Code style: ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)\n\nA modern, interactive portfolio showcasing professional skills, experience, and projects through an elegant web interface.\n\n## Key Features\n\n- **Professional Presentation**: Clean, responsive design with professional profile and resume\n- **Comprehensive Overview**: Detailed sections for skills, experience, education, and projects\n- **Interactive Experience**: Dynamic content presentation with GitHub integration\n- **Easy Maintenance**: Simple content updates through Python code\n- **Portable Deployment**: Ready for deployment on any Streamlit-supported platform\n\n## Technology Stack\n\n### Core Framework\n- **Streamlit**: Web application framework for Python\n\n### Data Handling\n- **Pandas**: Data manipulation and organization\n- **Requests**: API integration for GitHub data\n\n### Media Processing\n- **Pillow (PIL)**: Image processing for profile pictures\n\n## Getting Started\n\n### Prerequisites\n- Python 3.13 or higher\n- [uv](https://docs.astral.sh/uv/) - Ultra-fast Python package installer and resolver\n\n### Installation\n\n1. **Install uv** (if you haven't already):\n   ```bash\n   # macOS and Linux\n   curl -LsSf https://astral.sh/uv/install.sh | sh\n\n   # Windows\n   powershell -ExecutionPolicy ByPass -c \"irm https://astral.sh/uv/install.ps1 | iex\"\n\n   # Or via pip\n   pip install uv\n   ```\n\n2. **Clone the repository**:\n   ```bash\n   git clone https://github.com/dimipash/Streamlit_portfolio.git\n   cd Streamlit_portfolio\n   ```\n\n3. **Install dependencies** (fast with uv!):\n   ```bash\n   uv sync\n   ```\n\n4. **Run the application**:\n   ```bash\n   uv run streamlit run main.py\n   ```\n\n5. **Access your portfolio** at `http://localhost:8501`\n\n### Why uv?\n\n- **⚡ Ultra-fast**: 10-100x faster than pip for dependency resolution and installation\n- **🔒 Reliable**: Consistent dependency resolution with lock files\n- **🎯 Simple**: Drop-in replacement for pip with better defaults\n- **📦 Modern**: Built-in virtual environment management\n\n### Alternative Setup (Traditional)\n\nIf you prefer using pip:\n```bash\npython -m venv venv\nsource venv/bin/activate  # On Windows: venv\\\\Scripts\\\\activate\npip install -r requirements.txt\nstreamlit run main.py\n```\n\n## Docker Deployment\n\n### Quick Start with Docker\n\nThe easiest way to run the portfolio is using Docker:\n\n```bash\n# Build and run with Docker Compose (Development)\ndocker-compose up\n\n# Or build and run with Docker Compose (Production)\ndocker-compose -f docker-compose.prod.yml up -d\n```\n\nAccess the application at `http://localhost:8501`\n\n### Docker Options\n\n#### Option 1: Docker Compose (Recommended)\n\n**Development Mode** (with live code reload):\n```bash\n# Start development server\ndocker-compose up\n\n# Run in background\ndocker-compose up -d\n\n# View logs\ndocker-compose logs -f\n\n# Stop containers\ndocker-compose down\n```\n\n**Production Mode** (optimized):\n```bash\n# Start production server\ndocker-compose -f docker-compose.prod.yml up -d\n\n# View logs\ndocker-compose -f docker-compose.prod.yml logs -f\n\n# Stop containers\ndocker-compose -f docker-compose.prod.yml down\n```\n\n#### Option 2: Plain Docker\n\n```bash\n# Build the image\ndocker build -t streamlit-portfolio .\n\n# Run the container\ndocker run -p 8501:8501 --env-file .env streamlit-portfolio\n\n# Run in background\ndocker run -d -p 8501:8501 --env-file .env streamlit-portfolio\n\n# With custom environment variables\ndocker run -p 8501:8501 \\\n  -e EMAIL_HOST=smtp.gmail.com \\\n  -e EMAIL_PORT=587 \\\n  -e EMAIL_USERNAME=your@email.com \\\n  -e EMAIL_PASSWORD=yourpassword \\\n  streamlit-portfolio\n```\n\n### Docker Features\n\n- ✅ **Multi-stage build** - Small image size (~150MB)\n- ✅ **Non-root user** - Security best practices\n- ✅ **Health checks** - Container monitoring\n- ✅ **Volume mounts** - Development hot-reload\n- ✅ **Environment variables** - Easy configuration\n- ✅ **Production-ready** - Resource limits and logging\n\n### Docker Environment Setup\n\n1. **Copy environment template**:\n   ```bash\n   cp .env.template .env\n   ```\n\n2. **Edit .env file** with your credentials:\n   ```bash\n   EMAIL_HOST=smtp.gmail.com\n   EMAIL_PORT=587\n   EMAIL_USERNAME=your.email@gmail.com\n   EMAIL_PASSWORD=your_app_specific_password\n   GITHUB_TOKEN=your_github_token_here  # Optional\n   ```\n\n3. **Run with Docker**:\n   ```bash\n   docker-compose up\n   ```\n\n### Deployment Platforms\n\nDeploy the Docker container to:\n- **AWS ECS/Fargate** - Fully managed containers\n- **Google Cloud Run** - Serverless containers\n- **Azure Container Instances** - Quick container deployment\n- **DigitalOcean App Platform** - Simple container hosting\n- **Railway** - One-click container deployment\n- **Fly.io** - Global container deployment\n\n## Development\n\n### Adding Dependencies\n```bash\n# Add a new dependency\nuv add package-name\n\n# Add development dependencies\nuv add --dev package-name\n\n# Update all dependencies\nuv sync --upgrade\n```\n\n### Running Tests\n```bash\n# Run all tests\nuv run pytest\n\n# Run tests with coverage\nuv run pytest --cov\n\n# Run specific test file\nuv run pytest tests/test_data.py\n\n# Run tests in watch mode (requires pytest-watch)\nuv run ptw\n```\n\n### Code Quality\n```bash\n# Run linter\nuv run ruff check .\n\n# Auto-fix linting issues\nuv run ruff check --fix .\n\n# Format code\nuv run ruff format .\n\n# Check formatting without changes\nuv run ruff format --check .\n```\n\n### Running Commands\n```bash\n# Run any command in the project environment\nuv run python script.py\nuv run streamlit run main.py\n\n# Or activate the environment\nsource .venv/bin/activate  # On Windows: .venv\\\\Scripts\\\\activate\n```\n\n## Continuous Integration\n\nThis project uses GitHub Actions for CI/CD:\n\n- **Automated Testing**: All tests run on every push and pull request\n- **Code Quality**: Linting and formatting checks with Ruff\n- **Coverage Reports**: Test coverage tracked with Codecov\n- **Python 3.13**: Tests run on latest Python version\n\nSee [.github/workflows/ci.yml](.github/workflows/ci.yml) for the full CI configuration.\n\n## Customization\n\n### Adding Dependencies\n```bash\n# Add a new dependency\nuv add package-name\n\n# Add development dependencies\nuv add --dev package-name\n\n# Update all dependencies\nuv sync --upgrade\n```\n\n### Running Commands\n```bash\n# Run any command in the project environment\nuv run python script.py\nuv run streamlit run main.py\n\n# Or activate the environment\nsource .venv/bin/activate  # On Windows: .venv\\Scripts\\activate\n```\n\n## Customization\n\nReplace the following files with your personal content:\n- `photo.jpeg`: Profile picture\n- `resume.pdf`: Professional resume\n- Update content in `main.py` to reflect your personal information\n\n## Deployment\n\n### Streamlit Community Cloud\n1. Push your repository to GitHub\n2. Connect to [Streamlit Community Cloud](https://streamlit.io/cloud)\n3. Deploy directly from your repository\n\n### Other Platforms\nThe project is compatible with:\n- Heroku\n- Railway\n- Render\n- Any platform supporting Python web applications\n\n## Project Structure\n\n```\nStreamlit_portfolio/\n├── main.py              # Main application entry point\n├── components.py        # Reusable UI components\n├── config.py           # Configuration settings\n├── data.py             # Data management\n├── styles.py           # Custom CSS styling\n├── analytics.py        # Analytics and tracking\n├── pyproject.toml      # Project configuration and dependencies\n├── uv.lock            # Locked dependency versions\n├── requirements.txt    # Pip compatibility (auto-generated)\n├── photo.jpeg         # Profile picture\n└── resume.pdf         # Professional resume\n```\n\n## License\n\nThis project is open-source and available under the MIT License.\n\n---\n\n*Built with ❤️ using Streamlit and uv for blazingly fast setup*\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdimipash%2Fstreamlit_portfolio","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdimipash%2Fstreamlit_portfolio","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdimipash%2Fstreamlit_portfolio/lists"}