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PyIMSL is unique in that developers get 100% consistency between the mathematical and statistical algorithms used for prototyping as used for production. Developers can use Python and PyIMSL for rapid prototyping. Using IMSL C Library in a production C application, developers can get the the same mathematics and statistics algorithms in both development environments. | PyIMSL is unique in that developers get 100% consistency between the mathematical and statistical algorithms used for prototyping as used for production. Developers can use Python and PyIMSL for rapid prototyping. Using IMSL C Library in a production C application, developers can get the same mathematics and statistics algorithms in both development environments. |
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PyIMSL is available at no charge to current IMSL C Numerical Library customers or is available with [[http://www.vni.com/pyimslstudio|PyIMSL Studio]]. | PyIMSL Studio is available for download at no charge for non-commercial use or for commercial evaluation. The PyIMSL wrappers are available at no charge to current IMSL C Numerical Library users. |
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[[http://www.vni.com/products/imsl/pyimsl/overview.php]]. | [[http://www.vni.com/campaigns/pyimslstudioeval]]. |
PyIMSL is a collection of Python wrappers to the mathematical and statistical algorithms in the IMSL C Numerical Library. PyIMSL is available as part of the PyIMSL Studio product or as a separate download. If using PyIMSL as a separate download, a IMSL C Numerical Library license is required.
PyIMSL is unique in that developers get 100% consistency between the mathematical and statistical algorithms used for prototyping as used for production. Developers can use Python and PyIMSL for rapid prototyping. Using IMSL C Library in a production C application, developers can get the same mathematics and statistics algorithms in both development environments.
PyIMSL Studio is available for download at no charge for non-commercial use or for commercial evaluation. The PyIMSL wrappers are available at no charge to current IMSL C Numerical Library users.
For more information see: