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Papers: 10.3390/s21041072

https://doi.org/10.3390/s21041072

A Do-It-Yourself Hyperspectral Imager Brought to Practice with Open-Source Python

Cited by: 8
Author(s): Kimmo A. Riihiaho, Matti A. Eskelinen, Ilkka Pölönen
Published: over 4 years ago

Software Mentions 7

cran: ui
Uncertainty Intervals and Sensitivity Analysis for Missing Data
Papers that mentioned: 4
Very Likely Science (85)
pypi: ipython
IPython: Productive Interactive Computing
Papers that mentioned: 40
Likely Science (40)
pypi: numpy
Fundamental package for array computing in Python
Papers that mentioned: 832
Very Likely Science (100)
pypi: py
library with cross-python path, ini-parsing, io, code, log facilities
Papers that mentioned: 403
Very Likely Science (65)
pypi: scipy
Fundamental algorithms for scientific computing in Python
Papers that mentioned: 1,071
Very Likely Science (100)
pypi: ui
Simple menu-driven user interface for the terminal
Papers that mentioned: 4
Very Likely Science (65)
pypi: xarray
N-D labeled arrays and datasets in Python
Papers that mentioned: 11
Very Likely Science (80)