Scientific Data: A 50 Steps Guide using Python (De Gruyter Textbook) By Matthias Josef Hofmann
Author(s): Matthias Josef Hofmann
Publisher: De Gruyter
Year: 2024
Edition: 1
Language: English
Pages: 234
ISBN: 3111334570, 9783111334578
Size: 20 MB
Extension: pdf
Your guide to experimental scientific data is “Scientific Data: A 50 Steps Guide Using Python”. It seeks to bridge the gap between traditional natural sciences taught in universities and the ever-increasing demand for technological/digital capabilities, especially in industry research. Instructions for creating a workspace, data organization standards, examples for interacting with results files, and advice for deriving scientific conclusions are among the topics covered. Furthermore, techniques for designing experiments and visualizing the results are discussed, as well as methods for extracting meaningful characteristics and using them in multi-objective optimizations.
The brief problem-solution-discussion approach employed throughout, supplemented by Python code snippets, underlines the work’s practitioner focus. This guide will provide you a strong grasp of how to process and comprehend experimental data in a natural scientific environment, as well as how to ensure the long-term usage of your discoveries and processing from the perspective of a programmer.
Scientific Data: A 50 Steps Guide using Python (De Gruyter Textbook) By Matthias Josef Hofmann