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

✍ Scribed by Matthias Hofmann

Publisher: De Gruyter
Year: 2023
Tongue: English
Leaves: 216
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

Discusses extraction of data and characteristic parameters.
Outlines storage to database(-like) structures.
Details visualization of database(-like) structures.
Material is presented in a consistent manner with relatable examples along the way.

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