On Abstraction, Complexitity, and Refactoring Factor in Data Science

Code is dependent on data and models, and therefore on the abstractions used in them, so refactoring is inevitable today. Why? Usually, refactoring means changeRead the full story


This content originally appeared on Hacker Noon and was authored by Deep.Foundation

Code is dependent on data and models, and therefore on the abstractions used in them, so refactoring is inevitable today. Why? Usually, refactoring means change

Read the full story


This content originally appeared on Hacker Noon and was authored by Deep.Foundation


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Deep.Foundation | Sciencx (2021-09-01T10:57:20+00:00) On Abstraction, Complexitity, and Refactoring Factor in Data Science. Retrieved from https://www.scien.cx/2021/09/01/on-abstraction-complexitity-and-refactoring-factor-in-data-science/

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" » On Abstraction, Complexitity, and Refactoring Factor in Data Science." Deep.Foundation | Sciencx - Wednesday September 1, 2021, https://www.scien.cx/2021/09/01/on-abstraction-complexitity-and-refactoring-factor-in-data-science/
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" » On Abstraction, Complexitity, and Refactoring Factor in Data Science." Deep.Foundation | Sciencx [Online]. Available: https://www.scien.cx/2021/09/01/on-abstraction-complexitity-and-refactoring-factor-in-data-science/. [Accessed: ]
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» On Abstraction, Complexitity, and Refactoring Factor in Data Science | Deep.Foundation | Sciencx | https://www.scien.cx/2021/09/01/on-abstraction-complexitity-and-refactoring-factor-in-data-science/ |

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