Array programming with NumPy

@article{Harris2020ArrayPW,
  title={Array programming with NumPy},
  author={Charles R. Harris and K. Jarrod Millman and St{\'e}fan van der Walt and Ralf Gommers and Pauli Virtanen and David Cournapeau and Eric Wieser and Julian Taylor and Sebastian Berg and Nathaniel J. Smith and Robert Kern and Matti Picus and Stephan Hoyer and Marten Henric van Kerkwijk and Matthew Brett and Allan Haldane and Jaime Fern'andez del R'io and Marcy Wiebe and Pearu Peterson and Pierre G'erard-Marchant and Kevin Sheppard and Tyler Reddy and Warren Weckesser and Hameer Abbasi and Christoph Gohlke and Travis E. Oliphant},
  journal={Nature},
  year={2020},
  volume={585},
  pages={357 - 362}
}
Array programming provides a powerful, compact and expressive syntax for accessing, manipulating and operating on data in vectors, matrices and higher-dimensional arrays. NumPy is the primary array programming library for the Python language. It has an essential role in research analysis pipelines in fields as diverse as physics, chemistry, astronomy, geoscience, biology, psychology, materials science, engineering, finance and economics. For example, in astronomy, NumPy was an important part of… 
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