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Author Correction: SciPy 1.0: fundamental algorithms for scientific computing in Python
- Source :
- Nature Methods; March 2020, Vol. 17 Issue: 3 p352-352, 1p
- Publication Year :
- 2020
-
Abstract
- An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Details
- Language :
- English
- ISSN :
- 15487091 and 15487105
- Volume :
- 17
- Issue :
- 3
- Database :
- Supplemental Index
- Journal :
- Nature Methods
- Publication Type :
- Periodical
- Accession number :
- ejs52508974
- Full Text :
- https://doi.org/10.1038/s41592-020-0772-5