Data Management for Natural Scientists: A Practical Guide to Data Extraction and Storage Using Python

· Walter de Gruyter GmbH & Co KG
Ebook
216
Pages

About this ebook

Data Management for Natural Scientists offers a practical guide for scientific processing of data. It covers the way from “getting hands on” experimental results to ensuring their use for addressing various scientific questions. Code snippets are provided in order to introduce the proposed workstream and to demonstrate the adjustability to specific challenges.

About the author

Matthias Hofmann

holds a Ph.D. in Physical Chemistry from the University of Regensburg. Currently, he is working in the chemical industry where his focus is on streamlining data processing routines and ensuring the accessibility of experimental data.

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