Initializing help system before first use

Overview

Topics covered in this chapter:


MoselPy is a Python package that provides bindings to FICO Xpress Mosel, enabling seamless integration between Python and Mosel. It allows Python developers to:

  • compile and run Mosel models from Python,
  • exchange data bidirectionally (Python ↔ Mosel),
  • integrate with Pandas Series and DataFrames,
  • control Mosel execution and stream redirection,
  • access optimization results programmatically,
  • query model status, security, and annotations.

A typical workflow involves three steps: prepare your data in Python, run a Mosel model to solve an optimization problem, and retrieve the results back in Python. The moselpy I/O driver for data exchange in memory handles data conversion automatically.

Document scope

This document serves as both a tutorial introduction and a complete API reference for the moselpy package.

Part 1: User Guide introduces MoselPy through practical examples, focusing on the core workflows needed to integrate Mosel optimization models into Python applications and data science workflows.

  • Chapter Getting Started with MoselPy covers installation, prerequisites, and your first MoselPy model, introducing the basic compile-load-run workflow.
  • Chapter Data Exchange explains bidirectional data exchange between Python and Mosel, including type mapping, arrays, sets, and Pandas integration.
  • Chapter Optimization Workflows demonstrates running optimization models, accessing solution values, checking problem status, and visualizing results with matplotlib.
  • Chapter Advanced Topics covers advanced topics including iterative solving, model control, annotations, security, binary format, and stream redirection.

Part 2: API Reference provides a complete reference for all classes, functions, enumerations, and the moselpy I/O driver.

Relationship to python3.dso

The moselpy package and the python3 Mosel module address opposite use cases:

Component Host Language Called Language Use Case
python3.dso Mosel Python Use Python libraries from Mosel models
moselpy Python Mosel Embed Mosel models in Python applications

Choose moselpy when your main application is written in Python and you want to call Mosel code, in particular for optimization. Choose python3.dso when your main application is a Mosel model and you want to leverage advanced Python functionality such as specialized analytics, statistics, or graphical libraries. Using both components together (i.e., a Mosel model that uses python3.dso running inside a moselpy host) is not currently supported.


Parent Topic Mosel Python Interface Reference Manual

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