Introducing PyIMSL ™ Studio www.vni.com Eliminating the PAIN of Converting Analytical Models and Prototypes into Production-Quality Applications

Two Different WORLDS Modeler Choose the best model Robustness Efficiency Statistical validity Publication-quality graphics Publication criteria Developer Choose the best implementation Platform portability Performance Threading vs. SMP vs. MPI vs. … Consistency across multiple apps Compatibility Existing libraries, databases/data sources, infrastructure

Modeler

Choose the best model

Robustness

Efficiency

Statistical validity

Publication-quality graphics

Publication criteria

Developer

Choose the best implementation

Platform portability

Performance

Threading vs. SMP vs. MPI vs. …

Consistency across multiple apps

Compatibility

Existing libraries, databases/data sources, infrastructure

Two Different TOOLSETS Modeler Proprietary languages like MATLAB, SAS, S-Plus, SPSS and more Developer Open standards like C/C++ Compilers and platform-specific tools

Modeler

Proprietary languages like MATLAB, SAS, S-Plus, SPSS and more

Developer

Open standards like C/C++

Compilers and platform-specific tools

UGLY RESULT! Modeler Proprietary languages like MATLAB, SAS, S-Plus, SPSS and more Developer Open standards like C/C++ Compilers and platform-specific tools Terrible Disconnect!

Modeler

Proprietary languages like MATLAB, SAS, S-Plus, SPSS and more

Developer

Open standards like C/C++

Compilers and platform-specific tools

Prototype to Production GAP Prototyping tools are useful for: Exploring data and analytic methods Identifying requirements Proving concepts Prototyping tools not good for production deployment Difficult to move to production code Difficult to get same answers in production as prototype PyIMSL Studio Reduces Cost and Risk Ease of prototyping with open, dynamic language Access to broad collection of numerical algorithms Same algorithms for prototyping and production Fully supported development tools and utilities

Prototyping tools are useful for:

Exploring data and analytic methods

Identifying requirements

Proving concepts

Prototyping tools not good for production deployment

Difficult to move to production code

Difficult to get same answers in production as prototype

PyIMSL Studio Reduces Cost and Risk

Ease of prototyping with open, dynamic language

Access to broad collection of numerical algorithms

Same algorithms for prototyping and production

Fully supported development tools and utilities

PyIMSL Studio Alternative! Modeler PyIMSL Studio Open, non-proprietary language (Python) IMSL C Numerical Library for advanced numerical analysis Developer PyIMSL Studio “ Take-in” Python prototypes Identical algorithms (IMSL C Numerical Library) means numerical consistency from prototype to production Easy transition to C/C++ application

Modeler

PyIMSL Studio

Open, non-proprietary language (Python)

IMSL C Numerical Library for advanced numerical analysis

Developer

PyIMSL Studio

“ Take-in” Python prototypes

Identical algorithms (IMSL C Numerical Library) means numerical consistency from prototype to production

Easy transition to C/C++ application

Visit www.vni.com/pyimslstudio