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2425. Convenient and Efficient Implementation of Analytic Python Apps with Xpress Insight and Workbench
Invited abstract in session TD-30: Python Modeling Tools, stream Software for Optimization.
Tuesday, 14:30-16:00Room: 064 (building: 208)
Authors (first author is the speaker)
| 1. | Alexander Biele
|
| FICO |
Abstract
In this talk we aim to illustrate the efficient reduction of development time and enhancement of the developer experience for fully fledged analytic Python applications, utilizing FICO Xpress Workbench and Xpress Insight. Our discussion spans across all stages of the development cycle, encompassing model implementation, scenario analysis, and the crucial feedback loop closure with business users.
Our initial focus involves showcasing the seamless deployment of an analytic Python model, transforming it into a fully operational application within Xpress Insight. Then we demonstrate the latest enhancements for Python language support in our IDE Xpress Workbench. We will showcase how advanced debugging features lead to an improved and integrated development experience. Beyond local debugging, we will spotlight remote debugging capabilities tailored for scenarios executed in Xpress Insight. This becomes particularly significant as production data might be inaccessible on a developer’s laptop due to security considerations.
Keywords
- Mathematical Programming
- Software
Status: accepted
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