ANN: PyIMSL Studio 1.5 now available at no charge for non-commercial use
Visual Numerics, a Rogue Wave Software Company, is making PyIMSL Studio 1.5 available for download at no charge for non-commercial use or for commercial evaluation. Learn more about PyIMSL Studio and download at: http://www.vni.com/campaigns/pyimslstudioeval PyIMSL Studio contains both open source and proprietary components that create a fully supported and documented platform for analytic prototyping and production development. - For prototyping, a number of open source tools including Python, NumPy, Eclipse, matplotlib and commercial components from Visual Numerics, Inc. are available for Python, including Python wrappers to the mathematics and statistics algorithms in the IMSL Numerical Library which are incorporated in the distribution. This combination of tools provides a rich environment for prototype development. - For production deployment, commercial users of PyIMSL Studio also have access to the IMSL C Library to allow the development of native C implementations of algorithms for high performance production code. Using the IMSL C Library provides parity between prototype and production code. The IMSL Numerical Libraries have been the cornerstone of high-performance and desktop computing as well as predictive analytics applications in science, technical and business environments for well over three decades. Functional areas include: Mathematics * Matrix Operations * Linear Algebra * Eigensystems * Interpolation Approximation * Numerical Quadrature * Differential Equations * Transforms * Nonlinear Equations * Optimization * Special Functions * Finance Bond Calculations Statistics * Basic Statistics * Time Series Forecasting * Multivariate Analysis * Nonparametric Tests * Correlation Covariance * Regression * Analysis of Variance and Designed Experiments * Categorical and Discrete Data Analysis * Survival and Reliability Analysis * Goodness of Fit * Distribution Functions * Random Number Generation * Neural Networks * Genetic Algorithm * Naïve Bayes -- http://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations/
[ANN] PyIMSL Studio 1.5 released
Visual Numerics, a Rogue Wave Software Company, is pleased to announce the release of PyIMSL Studio V1.5. PyIMSL Studio contains both open source and proprietary components that create a fully supported and documented platform for analytic prototyping and production development. - For prototyping, a number of open source tools including Python, NumPy, Eclipse, matplotlib and commercial components from Visual Numerics, Inc. are available for Python, including PyIMSL Python wrappers to the mathematics and statistics algorithms in the IMSL C Library. This combination of tools provides a rich environment for prototype development. - For production deployment, PyIMSL Studio includes the IMSL C Library. Other I/O and data filtering components are available in both Python and C to further support deployment. Using the IMSL C Library provides parity between prototype and production code. This new release offers: - Support for IMSL C Library V7.0 which provides access to: - Numerous parallelized algorithms - New function that solves the generalized Feynman-Kac PDE and Black-Scholes problems - New data mining functions including a Genetic Algorithm for optimization and Naïve Bayes for classification problems and text mining - Many other new functions, including Kochanek-Bartels Cubic Splines, Non-central chi-square, and Non-central student's T PDFs - A more seamless installation process so you can get started with PyIMSL Studio faster and easier Learn more about PyIMSL Studio and request a free evaluation at http://www.vni.com/pyimslstudio -- http://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations/
