Scientific Data: A 50 Steps Guide using Python
Scientific Data: A 50 Steps Guide using Python
This guide offers a comprehensive understanding of experimental data analysis in the natural sciences while ensuring sustainable processing routines from a programmer's perspective. It applies a concise problem-solution-discussion format, supported by Python code snippets, catering to practitioners.
Hofmann, Matthias
ISBN | 9783111334578 |
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Artikelnummer | 9783111334578 |
Medientyp | Buch |
Copyrightjahr | 2024 |
Verlag | De Gruyter |
Umfang | X, 250 Seiten |
Abbildungen | 85 col. ill. |
Sprache | Englisch |