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- 448pages
- 16 heures de lecture
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Focusing on geoscientific applications, this book introduces various data analysis methods using Python. It covers essential topics such as basic statistics for different data sets, time series analysis, signal processing, and image analysis. The text provides numerous practical examples demonstrating Python's application in earth sciences, enhancing the reader's understanding of spatial and directional data analysis. Additionally, the accompanying codes are accessible online via GitHub, allowing for hands-on practice and implementation.
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Python Recipes for Earth Sciences, Martin H. Trauth
- Langue
- Année de publication
- 2024
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- Langue
- Anglais
- Auteurs
- Martin H. Trauth
- Éditeur
- Springer, Berlin
- Publié
- 2024
- Format
- rigide
- Pages
- 448
- ISBN13
- 9783031569050
- Séries
- Description
- Focusing on geoscientific applications, this book introduces various data analysis methods using Python. It covers essential topics such as basic statistics for different data sets, time series analysis, signal processing, and image analysis. The text provides numerous practical examples demonstrating Python's application in earth sciences, enhancing the reader's understanding of spatial and directional data analysis. Additionally, the accompanying codes are accessible online via GitHub, allowing for hands-on practice and implementation.