Data Management for Natural Scientists
A Practical Guide to Data Extraction and Storage Using Python
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.
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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.
Detaljer
- Forlag
- De Gruyter
- Språk
- Engelsk
- Sider
- 216
- ISBN
- 9783110788433
- Utgivelsesår
- 2023
- Format
- Kopibeskyttet PDF (Må leses i Adobe Digital Editions)
Om forfatteren
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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