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# SciPy Integration
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Wrappers for SciPy functionality including optimization, interpolation, signal processing, and image processing.
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## Capabilities
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### Optimization Functions
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Scientific optimization and curve fitting with automatic unit handling.
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```python { .api }
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def curve_fit(f, data, **kwargs):
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    """
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    Non-linear least squares curve fitting
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    Args:
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        f (callable): Model function
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        data (DataArray): Data to fit
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        **kwargs: Additional fitting parameters
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    Returns:
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        tuple: Optimal parameters and covariance matrix
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    """
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```
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### Interpolation Functions
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Data interpolation with dimension-aware coordinate handling.
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```python { .api }  
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def interp1d(data, dim, **kwargs):
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    """
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    1D interpolation function
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    Args:
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        data (DataArray): Input data
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        dim (str): Interpolation dimension
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        **kwargs: Interpolation options
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    Returns:
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        callable: Interpolation function
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    """
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```
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### Image Processing Functions
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N-dimensional image filtering and processing operations.
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```python { .api }
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def gaussian_filter(x, *, sigma, **kwargs):
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    """
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    Multidimensional Gaussian filter
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    Args:
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        x (Variable or DataArray): Input data
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        sigma: Standard deviation for Gaussian kernel
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        **kwargs: Additional filter parameters
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    Returns:
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        Variable or DataArray: Filtered data
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    """
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```