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This paper presents gnssₗibₚy, a Python library used to parse, analyze, and visualize data from a variety of GNSS (Global Navigation Satellite Systems) data sources. The gnssₗibₚy library's ease of use, modular capabilities, testing coverage, and extensive documentation make it an attractive tool not only for scientific and industry users wanting a quick, out-of-the-box solution but also for advanced GNSS users developing new GNSS algorithms. gnssₗibₚy has already demonstrated its usefulness and impact through presentation in academic conferences, use in research papers, and adoption in graduate-level university course curricula.
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Knowles et al. (Fri,) studied this question.
synapsesocial.com/papers/68e6f609b6db643587670beb — DOI: https://doi.org/10.1016/j.softx.2024.101811
Derek Knowles
Stanford University
Ashwin Vivek Kanhere
Stanford University
Daniel Neamati
Florida Museum of Natural History
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