Scientific Data: A 50 Steps Guide using Python - Matthias Josef Hofmann
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Toimitus 10-16 arkipäivässä
30 päivän palautusoikeus
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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Kuvaus
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.
Lisätietoja
| Kirjoittaja | Matthias Josef Hofmann |
|---|---|
| Julkaisija | Walter de Gruyter |
| Series | De Gruyter Textbook |
| Julkaisuvuosi | 2024 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9783111334578 |