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ZENODO
Software . 2019
Data sources: Datacite
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ZENODO
Software . 2019
Data sources: ZENODO
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scivision/pymap3d: Enable fallback to Python 2.6, 2.7 and 3.4

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 17 May 2019Publisher:Zenodo
Authors: Michael Hirsch, Ph.D.; Ryan Pavlick; cchuravy; Samuel Marks; Philippe Rivière;
Code repository: https://github.com/scivision/pymap3d/tree/v1.8.0

doi: 10.5281/zenodo.2875814

scivision/pymap3d: Enable fallback to Python 2.6, 2.7 and 3.4

Abstract

Full functionality of PyMap3D (as with Python in general in 2019) requires Python ≥ 3.5, but a useful subset is made available to Python 2.6, 2.7 and 3.4. This is relevant to MicroPython and ROS users and other special use cases where currently supported Python versions may not yet be readily available. Put Ellipsoid() in its own file for clarity and flexibility with other packages. ECI functions previously had an API unlike other PyMap3D functions, they are now the same as the rest of PyMap3D (scalar or N-D array for each variable).

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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