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This is the API documentation for the gdtest_google_big_class library.
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## Classes

Main classes provided by the package


DataProcessor(source: str, format: str = 'csv')

A processor for tabular data.

Args:
    source: Data source path.
    format: Data format string.


## DataProcessor Methods

Methods for the DataProcessor class


load(self) -> list

Load data from the source.

Returns:
    A list of records.

filter(self, predicate) -> 'DataProcessor'

Filter data using a predicate function.

Args:
    predicate: A callable that returns True for items to keep.

Returns:
    A new DataProcessor with filtered data.

sort(self, key: str, reverse: bool = False) -> 'DataProcessor'

Sort data by a key.

Args:
    key: Column name to sort by.
    reverse: If True, sort in descending order.

Returns:
    A new DataProcessor with sorted data.

aggregate(self, column: str, func: str = 'sum') -> dict

Aggregate values in a column.

Args:
    column: Column to aggregate.
    func: Aggregation function name.

Returns:
    Dictionary with aggregation results.

export(self, path: str, format: str = 'csv') -> None

Export data to a file.

Args:
    path: Output file path.
    format: Output format.

describe(self) -> dict

Generate summary statistics.

Returns:
    Dictionary of column statistics.

head(self, n: int = 5) -> list

Return the first n records.

Args:
    n: Number of records to return.

Returns:
    List of the first n records.


## Functions

Utility functions


load_data(path: str) -> gdtest_google_big_class.DataProcessor

Load data from a file into a DataProcessor.

Args:
    path: Path to the data file.

Returns:
    A DataProcessor instance with the loaded data.