Numerical Python
By P. Dubois, Konrad Hinsen, James R. Hugunin. 1996
Subfields: Numerical Methods & Scientific Computing
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In Numerical Methods & Scientific Computing
- K. Jarrod Millman
- S. Van Der Walt
- J. Vanderplas
- Carlos Henrique Grohmann
- Colin Raffel
- Daniel Müllner
- M. Cappellari
- Matthew Newville
Citations in the corpus
- Array programming with NumPy (2020, methodology): “The Numeric package began in the mid-1990s and provided an array object and array-aware functions in Python, written in C, and linking to standard fast implementations of linear algebra [8, 9].”
- NARA-WPE: A Python package for weighted prediction error dereverberation in Numpy and Tensorflow for online and offline processing (2018, unknown): “optimized linear algebra libraries [16, 17].”
- OpenStructure: an integrated software framework for computational structural biology (2013, background): “In addition to general-purpose libraries, e.g. NumPy (Dubois et al., 1996), SciPy (http://www.scipy.org/) and the plotting framework matplotlib (Hunter, 2007), there are many bioinformatics and structural biology toolkits that are either completely implemented in Python or provide a well maintained…”
- The population of TeV pulsar wind nebulae in the H.E.S.S. Galactic Plane Survey (2017, methodology): “This work made extensive use of the ATNF Pulsar Catalogue (Manchester et al. 2005), the Python packages NumPy/SciPy (Dubois et al. 1996; Jones et al. 2001), and Matplotlib (Hunter 2007).”