
Scientific Data: A 50 Steps Guide Using Python
Matthias Hofmann$65.44
$76.99
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.
Binding Type: Paperback
Publisher: de Gruyter
Published: 09/23/2024
ISBN: 9783111334578
Pages: 260
