Advanced User Guide =================== This guide is for developers and scientists who need to leverage the full power of NLSQ: custom optimization pipelines, protocol-based design, orchestration components, and library extension. .. grid:: 2 :gutter: 3 .. grid-item-card:: Advanced Tutorials :link: tutorials/advanced/index :link-type: doc Design custom workflows using NLSQ's API layer. .. grid-item-card:: Architecture :link: tutorials/advanced/architecture/index :link-type: doc Package structure and optimization pipeline. API Levels ---------- NLSQ provides multiple API levels for different needs: .. code-block:: python # High Level: fit() function from nlsq import fit popt, pcov = fit(model, x, y, p0=[...]) # Mid Level: CurveFit class from nlsq import CurveFit fitter = CurveFit() popt, pcov = fitter.curve_fit(model, x, y, p0=[...]) # Low Level: LeastSquares class from nlsq.core.least_squares import LeastSquares optimizer = LeastSquares() result = optimizer.least_squares(fun=residuals, x0=p0) # Orchestration: Decomposed components (v0.6.4) from nlsq.core.orchestration import DataPreprocessor, OptimizationSelector preprocessor = DataPreprocessor() preprocessed = preprocessor.preprocess(f=model, xdata=x, ydata=y) .. toctree:: :maxdepth: 2 :caption: Advanced Tutorials tutorials/advanced/index tutorials/advanced/architecture/index tutorials/advanced/core_apis/index tutorials/advanced/orchestration/index .. toctree:: :maxdepth: 2 :caption: API Reference reference/core_api reference/orchestration reference/facades howto/advanced_api .. toctree:: :maxdepth: 2 :caption: Factories & DI tutorials/advanced/factories_di/index .. toctree:: :maxdepth: 2 :caption: Performance & Scale tutorials/advanced/performance/index howto/handle_large_data howto/optimize_performance howto/streaming_checkpoints reference/large_data .. toctree:: :maxdepth: 2 :caption: Stability & Extension tutorials/advanced/stability/index tutorials/advanced/extension/index howto/debug_bad_fits howto/troubleshooting .. toctree:: :maxdepth: 2 :caption: Conceptual Deep Dives explanation/index