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Faire une suggestion Affiner la recherchePython recipes for earth sciences / Martin H Trauth (C 2022)
Titre : Python recipes for earth sciences Type de document : texte imprimé Auteurs : Martin H Trauth (1963-..), Auteur Editeur : Cham : Springer Année de publication : C 2022 Collection : Springer Textbooks in Earth Sciences, Geography and Environment, ISSN 2510-1307 Importance : 1 vol. (XII-453 p.) Présentation : ill. en coul., couv. ill. en coul Format : 24 cm ISBN/ISSN/EAN : 978-3-031-07718-0 Langues : Anglais (eng) Catégories : G?eologie ; Python (Computer program language) ; Python (langage de programmation) ; Sciences de la terre Résumé : Python is used in a wide range of geoscientific applications, such as in processing images for remote sensing, in generating and processing digital elevation models, and in analyzing time series. This book introduces methods of data analysis in the geosciences using Python that include basic statistics for univariate, bivariate, and multivariate data sets, time series analysis, and signal processing; the analysis of spatial and directional data; and image analysis. The text includes numerous examples that demonstrate how Python can be used on data sets from the earth sciences. The supplementary electronic material (available online through Springer Link) contains the example data as well as recipes that include all the Python commands featured in the book Python recipes for earth sciences [texte imprimé] / Martin H Trauth (1963-..), Auteur . - Cham : Springer, C 2022 . - 1 vol. (XII-453 p.) : ill. en coul., couv. ill. en coul ; 24 cm. - (Springer Textbooks in Earth Sciences, Geography and Environment, ISSN 2510-1307) .
ISBN : 978-3-031-07718-0
Langues : Anglais (eng)
Catégories : G?eologie ; Python (Computer program language) ; Python (langage de programmation) ; Sciences de la terre Résumé : Python is used in a wide range of geoscientific applications, such as in processing images for remote sensing, in generating and processing digital elevation models, and in analyzing time series. This book introduces methods of data analysis in the geosciences using Python that include basic statistics for univariate, bivariate, and multivariate data sets, time series analysis, and signal processing; the analysis of spatial and directional data; and image analysis. The text includes numerous examples that demonstrate how Python can be used on data sets from the earth sciences. The supplementary electronic material (available online through Springer Link) contains the example data as well as recipes that include all the Python commands featured in the book Exemplaires(0)
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