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Introduction To Python For Computational Science And Engineering

appsOther research productkeyboard_double_arrow_right Other ORP type 08 Sep 2018 English Publisher:ZenodoFunded by:EC | OpenDreamKit
Authors: Fangohr, Hans;

doi: 10.5281/zenodo.1411869

Introduction To Python For Computational Science And Engineering

Abstract

Textbook "Introduction to Python for Computational Science and Engineering". The content and methods of the executable textbook are intended for a target audience of scientists and engineers who need to program in their work in computational science and data science, but typically have no prior programming experience or formal computer science training. The book is available as PDF, Jupyter Notebooks, executable Notebooks on MyBinder, HTML and source code This edition is notebook based, using Python 3. Hosted online at github.com/fangohr/introduction-to-python-for-computational-science-and-engineering

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Keywords

Textbook, Data Science, Jupyter, Computational Science, Python, Education

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selected citations
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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!
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