Data Management for Natural Scientists
eBook - ePub

Data Management for Natural Scientists

A Practical Guide to Data Extraction and Storage Using Python

  1. 216 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Data Management for Natural Scientists

A Practical Guide to Data Extraction and Storage Using Python

Book details
Table of contents
Citations

About This Book

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.

Frequently asked questions

Simply head over to the account section in settings and click on “Cancel Subscription” - it’s as simple as that. After you cancel, your membership will stay active for the remainder of the time you’ve paid for. Learn more here.
At the moment all of our mobile-responsive ePub books are available to download via the app. Most of our PDFs are also available to download and we're working on making the final remaining ones downloadable now. Learn more here.
Both plans give you full access to the library and all of Perlego’s features. The only differences are the price and subscription period: With the annual plan you’ll save around 30% compared to 12 months on the monthly plan.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes, you can access Data Management for Natural Scientists by Matthias Hofmann in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Chemical & Biochemical Engineering. We have over one million books available in our catalogue for you to explore.

Information

Publisher
De Gruyter
Year
2023
ISBN
9783110788532
Edition
1
Topic
Technology & Engineering
Subtopic
Chemical & Biochemical Engineering
Index
Technology & Engineering

Table of contents

  1. Title Page
  2. Copyright
  3. Contents
  4. 1 Presenting the challenge
  5. 2 Python quick start
  6. 3 The steps of data processing
  7. 4 From experimental files to data
  8. 5 From data to information
  9. 6 Where to put data and information
  10. 7 How to visualize data and information
  11. 8 Responding to lessons learned
  12. 9 Where to go from here
  13. 10 Conclusion
  14. Subject Index