Home
Reading
Searching
Subscribe
Sponsors
Statistics
Posting
Contact
Spam
Lists
Links
About
Hosting
Filtering
Features Download
Marketing
Archives
FAQ
Blog
 
Gmane
From: Steve Lang <stevel <at> vni.com>
Subject: ANN: PyIMSL Studio 1.5 now available at no charge for non-commercial use
Newsgroups: gmane.comp.python.announce
Date: Tuesday 17th November 2009 18:32:55 UTC (over 6 years ago)
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/
 
CD: 2ms