Название: Python Recipes for Earth Sciences Автор: Martin H. Trauth Издательство: Springer Год: 2022 Формат: True PDF Страниц: 463 Размер: 10 Mb Язык: English
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.
Learn Data Analysis with Python: Lessons in Coding Название: Learn Data Analysis with Python: Lessons in Coding Автор: A.J. Henley, Dave Wolf Издательство: Apress Год: 2018 Страниц: 97 Формат: PDF,...
Python for Data Analysis, 2nd Edition Название: Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython, 2nd Edition Автор: Wes McKinney Издательство: O'Reilly Media Год:...
MATLAB Recipes for Earth Sciences, 4th Edition Автор: Martin H. Trauth Название: MATLAB Recipes for Earth Sciences, 4th Edition Издательство: Springer Год: 2015 ISBN: 9783662462430 Язык: English...
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