Examples

This section provides a collection of practical examples demonstrating various use cases and features of pipefunc.

Basic Usage

Skip this if you did the tutorial!

We recommend to look at the Physics Simulation example after the tutorial to get a hands-on introduction to the library.

• Basic Pipeline: A simple example showing how to create and run a basic pipeline.

  • Uses: pipefunc(), Pipeline, sequential execution (pipeline(), run())

Scientific Computing

• Physics Simulation: Demonstrates a physics-based simulation using pipefunc.

  • Uses: pipefunc(), Pipeline, mapspec (N-dimensional sweeps, zip, reduction), add_mapspec_axis(), load_outputs(), load_xarray_dataset(), nest_funcs(), NestedPipeFunc

• Weather Simulation and Analysis: Example of generating and analyzing weather data with xarray.

  • Uses: pipefunc(), Pipeline, mapspec (N-dimensional sweeps), load_xarray_dataset(), parallel execution (map())

Data Processing

• Sensor Data Processing: A pipeline for processing sensor data, including filtering, feature extraction, and anomaly detection.

  • Uses: pipefunc(), Pipeline, add_mapspec_axis(), load_xarray_dataset(), subpipeline(), parallel execution (map())

• Image Processing Workflow: Demonstrates a workflow for image processing, including segmentation and classification.

  • Uses: pipefunc(), Pipeline, mapspec (element-wise operations), load_outputs(), parallel execution (map())

• NLP Text Summarization: An example of a natural language processing pipeline for text summarization.

  • Uses: pipefunc(), Pipeline, mapspec (element-wise operations, reduction), parallel execution (map())