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 | 9783111334707 |
|---|---|
| Artikelnummer | 9783111334707 |
| Medientyp | E-Book - ePUB |
| Copyrightjahr | 2024 |
| Verlag | Walter de Gruyter GmbH & Co.KG |
| Umfang | 234 Seiten |
| Sprache | Englisch |
| Kopierschutz | Digitales Wasserzeichen |
