Science Notebooks

2020 ◽  
pp. 23-49
Author(s):  
Troy Hicks ◽  
Jeremy Hyler ◽  
Wiline Pangle
Keyword(s):  
2004 ◽  
Vol 30 (1) ◽  
pp. 61-85 ◽  
Author(s):  
Maria Araceli Ruiz-Primo ◽  
Min Li

Author(s):  
Michael P. Klentschy ◽  
Elizabeth Molina-De La Torre

1919 ◽  
Vol 19 (2) ◽  
pp. 162-163
Author(s):  
Ray McClellen
Keyword(s):  

2018 ◽  
Author(s):  
Jiaming Hu ◽  
Ling-Hong Hung ◽  
Ka Yee Yeung

AbstractData science notebooks, such as Jupyter, combine text documentation with dynamically editable and executable code and have become popular for sharing computational methods. We present nbdocker, an extension that integrates Docker software containers into Jupyter notebooks. nbdocker transforms notebooks into autonomous, self-contained, executable and reproducible modules that can document and disseminate complicated data science workflows containing code written in different languages and executables requiring different software environments.


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