Visual Numerics Launches PyIMSL Studio Numeric Analysis Prototyping Environment
Ensures that numerical prototype work is included in production applications faster and with less complexity, cost, and risk.
February 10, 2009
By DE Editors
Visual Numerics’ PyIMSL Studio is the first commercially available numerical analysis prototyping environment designed for deploying mathematics and statistics models into production applications, according to the company.
In a recent Visual Numerics survey, more than 60% of respondents said they create prototype models before developing code for production applications. The majority of respondents also indicated their organization uses multiple numerical analysis tools for prototyping. Modelers and developers are using different tool sets in the prototyping and production stages of development, which causes significant challenges in moving numerical prototypes into production use. This problem causes development teams to spend time developing equivalent algorithms to those used in prototype models. These challenges can cause a significant gap between modeling a numerical prototype and deploying that numerical model in production.
PyIMSL Studio bridges the prototype-to-production gap by combining prototyping tools in the Python dynamic language with the IMSL C Numerical Library. Now the IMSL C Library can be used throughout the entire development process so that the same mathematical and statistical algorithms can be used throughout prototyping and production application development and then deployed on more than 50 computing environments.
In addition to the IMSL C Library math and statistical algorithms, PyIMSL Studio also provides Python development tools for rapid prototyping. These Python tools are integrated into a single installable and supported package and include NumPy for data array manipulation, matplotlib charting components, GUI development tools, Pydev with Eclipse and IPython IDEs, data I/O and transformation components and other tools. Documentation provides a complete API for the math and statistics functions, tutorials, and details for implementation teams to make prototype models part of production applications.
For more information, visit Visual Numerics.
Sources: Press materials received from the company and additional information gleaned from the company’s website.
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