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Focusing on experimental data analysis in the natural sciences, this guide emphasizes sustainable processing routines through a programmer's lens. It adopts a clear problem-solution-discussion format, making it accessible for practitioners. The inclusion of Python code snippets enhances the practical application of concepts, providing readers with valuable tools for effective data analysis.
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Scientific Data: A 50 Steps Guide using Python, Matthias Hofmann
- Language
- Released
- 2024
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- Title
- Scientific Data: A 50 Steps Guide using Python
- Language
- English
- Authors
- Matthias Hofmann
- Publisher
- Walter de Gruyter
- Released
- 2024
- Format
- Paperback
- Pages
- 218
- ISBN13
- 9783111334578
- Series
- Description
- Focusing on experimental data analysis in the natural sciences, this guide emphasizes sustainable processing routines through a programmer's lens. It adopts a clear problem-solution-discussion format, making it accessible for practitioners. The inclusion of Python code snippets enhances the practical application of concepts, providing readers with valuable tools for effective data analysis.