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Python Recipes for Earth Sciences

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  • 468pages
  • 17 heures de lecture

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Focusing on geoscientific applications, this book explores data analysis methods using Python, covering basic statistics, time series analysis, and image processing. It addresses univariate, bivariate, and multivariate data sets, alongside spatial and directional data analysis. Numerous examples illustrate Python's practical use with earth science data. Additionally, supplementary online materials provide example datasets and Python command recipes, enhancing the learning experience for readers interested in applying Python in geosciences.

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Python Recipes for Earth Sciences, Martin H. Trauth

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Année de publication
2022
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