Numerical methods with Sage
Lauri Ruotsalainen, Matti Vuorinen
TL;DR
This paper reviews how Sage integrates Numpy and SciPy for scientific computing, demonstrating their use through typical examples in scientific computation courses.
Contribution
It provides a comprehensive overview of using Sage as a unified platform for numerical methods with popular Python libraries.
Findings
Sage effectively integrates Numpy and SciPy for scientific computing.
Examples demonstrate practical applications in scientific courses.
Sage simplifies complex numerical computations for users.
Abstract
Numpy and SciPy are program libraries for the Python scripting language, which apply to a large spectrum of numerical and scientific computing tasks. The Sage project provides a multiplatform software environment which enables one to use, in a unified way, a large number of software components, including Numpy and Scipy, and which has Python as its command language. We review several examples, typical for scientific computation courses, and their solution using these tools in the Sage environment.
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