Package python-module-BlockCanvas: Information
Binary package: python-module-BlockCanvas
Version: 4.0.3-alt3.git20130328
Architecture: x86_64
Build time: Nov 3, 2014, 08:52 PM in the task #133907
Source package: python-module-BlockCanvas
Category: Development/Python
Report package bugHome page: http://www.enthought.com/
Summary: Enthought Numerical Modeling
Description:
The BlockCanvas project provides a visual environment for creating simulation experiments, where function and data are separated. Thus, you can define your simulation algorithm by visually connecting function blocks into a data flow network, and then run it with various data sets (known as "contexts"); likewise, you can use the same context in a different functional simulation. The project provides support for plotting, function searching and inspection, and optimization. It includes a stand-alone application that demonstrates the block-canvas environment, but the same functionality can be incorporated into other applications. The BlockCanvas project relies on included libraries that allow multiple data sets using Numeric arrays to be incorporated in a Traits-based model in a way that is simple, fast, efficient, and consistent.
Maintainer: Eugeny A. Rostovtsev
Last changed
Nov. 3, 2014 Eugeny A. Rostovtsev 4.0.3-alt3.git20130328
- Rebuilt with updated NumPy
June 17, 2013 Eugeny A. Rostovtsev 4.0.3-alt2.git20130328
- Rebuilt with updated NumPy
May 6, 2013 Eugeny A. Rostovtsev 4.0.3-alt1.git20130328
- Version 4.0.3