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ZENODO
Software . 2025
License: http://opensource.org/licenses/MIT
Data sources: ZENODO
ZENODO
Software . 2025
License: https://opensource.org/licenses/MIT
Data sources: Datacite
ZENODO
Software . 2025
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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Computational Analysis: A Reproducible Python Course for Numerical Methods

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 27 Dec 2025Publisher:Zenodo
Authors: Afful, James;

doi: 10.5281/zenodo.18066312 , 10.5281/zenodo.18066313

Computational Analysis: A Reproducible Python Course for Numerical Methods

Abstract

This repository provides a fully reproducible Python-based computational analysis course covering numerical linear algebra, optimization, ordinary and partial differential equations, and data-driven modeling. The materials are designed for training students and researchers in modern computational workflows, including numerical stability analysis, algorithmic verification, and reproducible scientific computing using Jupyter notebooks. The course is packaged as an executable Jupyter Book and is intended for use in academic instruction, research group onboarding, and independent study in computational science and engineering

Keywords

Scientific computing, Numerical analysis, Python

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    popularity
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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average