Scientific Data: A 50 Steps Guide using Python - Matthias Josef Hofmann
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Piegāde 10-16 darba dienu laikā
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This guide provides a solid understanding of how to understand experimental data within a natural scientific context while ensuring sustainable use of findings and processing as seen through a programmer's eye. The concise problem - solution - discussion structure used throughout supported by Python code snippets emphasizes the book's focus on practitioners.
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Aprašymas
This guide provides a solid understanding of how to understand experimental data within a natural scientific context while ensuring sustainable use of findings and processing as seen through a programmer's eye. The concise problem - solution - discussion structure used throughout supported by Python code snippets emphasizes the book's focus on practitioners.
Vairāk informācijas
| Autors | Matthias Josef Hofmann |
|---|---|
| Izdevējs | Walter de Gruyter |
| Series | De Gruyter Textbook |
| Izlaides gads | 2024 |
| Vāka tips | Mīkstais vāks |
| EAN | 9783111334578 |