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Explaining software and computational methods

blog.khinsen.net · published 25 June 2025

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https://en.wikipedia.org/wiki/Explainable_artificial_intelligence
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https://quoteinvestigator.com/2024/10/22/question-answer/
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Why we should review research software Read at the source ↗
blog.khinsen.net
https://mitpress.mit.edu/9780262510875/structure-and-interpretation-of-computer-programs/
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http://sarabander.github.io/sicp/
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https://doi.org/10.1093/comjnl/27.2.97
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https://en.wikipedia.org/wiki/Web_(programming_system
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https://www.mathcad.com/
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https://www.wolfram.com/mathematica/
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https://jupyter.org/
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https://en.wikipedia.org/wiki/Read%E2%80%93eval%E2%80%93print_loop
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https://en.wikipedia.org/wiki/Open-notebook_science
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https://www.theatlantic.com/science/archive/2018/04/the-scientific-paper-is-obsolete/556676/
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https://quarto.org/
quarto.org
https://worrydream.com/ExplorableExplanations/
worrydream.com
https://jupyter.org/widgets
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https://doi.org/10.1109/VISSOFT55257.2022.00009
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https://gtoolkit.com/
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https://www.quicklisp.org/beta/
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https://ultralisp.org/
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https://en.wikipedia.org/wiki/Sandbox_(computer_security
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https://common-lisp.net/
common-lisp.net
Why computational reproducibility matters Read at the source ↗
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https://github.com/activepapers/activepapers-python
github.com
https://leibniz.khinsen.net/
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https://codeberg.org/khinsen/hyperdoc
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