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Data Management for Natural Scientists: A Practical Guide to Data Extraction and Storage Using Python [Mīkstie vāki]

  • Formāts: Paperback / softback, 216 pages, height x width: 240x170 mm, weight: 366 g, 20 Tables, black and white; 1 Illustrations, black and white; 71 Illustrations, color
  • Sērija : De Gruyter Textbook
  • Izdošanas datums: 20-Feb-2023
  • Izdevniecība: De Gruyter
  • ISBN-10: 3110788403
  • ISBN-13: 9783110788402
Citas grāmatas par šo tēmu:
  • Mīkstie vāki
  • Cena: 70,90 €
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Data Management for Natural Scientists: A Practical Guide to Data Extraction and Storage Using PythonPalielināt
  • Formāts: Paperback / softback, 216 pages, height x width: 240x170 mm, weight: 366 g, 20 Tables, black and white; 1 Illustrations, black and white; 71 Illustrations, color
  • Sērija : De Gruyter Textbook
  • Izdošanas datums: 20-Feb-2023
  • Izdevniecība: De Gruyter
  • ISBN-10: 3110788403
  • ISBN-13: 9783110788402
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783110788402.html
Keywords:

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.

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.