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Scientific Data: A 50 Steps Guide Using Python

Walter de Gruyter
SKU:
9783111334578
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ISBN13:
9783111334578
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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.


  • | Author: Matthias Hofmann
  • | Publisher: Walter de Gruyter
  • | Publication Date: Oct 07, 2024
  • | Number of Pages: NA pages
  • | Language: English
  • | Binding: Paperback
  • | ISBN-10: 3111334570
  • | ISBN-13: 9783111334578
Author:
Aman Thakur, Vineet Mehta, Priyanka Nagu, Kiran Goutam
Publisher:
De Gruyter, Incorporated
Publication Date:
Aug 19, 2024
Number of pages:
NA pages
Language:
English
Binding:
Paperback
ISBN-10:
3111434745
ISBN-13:
9783111434742