El Hachimi C., Belaqziz S., Khabba S., Chehbouni Abdelghani. (2022). Data Science Toolkit : an all-in-one python library to help researchers and practitioners in implementing data science-related algorithms with less effort. Software Impacts, 12, p. 100240 [4 p.]. ISSN 2665-9638.
Titre du document
Data Science Toolkit : an all-in-one python library to help researchers and practitioners in implementing data science-related algorithms with less effort
El Hachimi C., Belaqziz S., Khabba S., Chehbouni Abdelghani
Source
Software Impacts, 2022,
12, p. 100240 [4 p.] ISSN 2665-9638
Data Science Toolkit (DST) is a python library built as a wrapper layer on top of several libraries to increase the abstraction level of the code, making its users more efficient and productive. The current version is widely used in our ongoing research activities that focus on optimizing agricultural management practices using artificial intelligence. DST adopts an object-oriented approach in implementing data science algorithms and is therefore composed of multiple classes such as the DataFrame class that adds additional functionalities to the standard pandas dataframe and the Model class that facilitates the building, training, and evaluation of machine learning models.
