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Scientific Data: A 50 Steps Guide using Python

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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

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Rok vydání
2024
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Titul
Scientific Data: A 50 Steps Guide using Python
Jazyk
anglicky
Rok vydání
2024
Vazba
měkká
Počet stran
218
ISBN13
9783111334578
Série
Anotace
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.