Data Management for Natural Scientists : : A Practical Guide to Data Extraction and Storage Using Python / / Matthias Hofmann.
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 workstrea...
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| Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2023] ©2023 |
| Year of Publication: | 2023 |
| Language: | English |
| Series: | De Gruyter Textbook
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| Physical Description: | 1 online resource (XVI, 200 p.) |
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Hofmann, Matthias, author. aut http://id.loc.gov/vocabulary/relators/aut Data Management for Natural Scientists : A Practical Guide to Data Extraction and Storage Using Python / Matthias Hofmann. Berlin ; Boston : De Gruyter, [2023] ©2023 1 online resource (XVI, 200 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda De Gruyter Textbook Frontmatter -- Acknowledgment -- Contents -- 1 Presenting the challenge -- 2 Python quick start -- 3 The steps of data processing -- 4 From experimental files to data -- 5 From data to information -- 6 Where to put data and information -- 7 How to visualize data and information -- 8 Responding to lessons learned -- 9 Where to go from here -- 10 Conclusion -- A Packaging a custom module -- B Comments to tables and columns via SQLAlchemy -- C A word on version control systems -- D Overview of utilized Python and package versions -- E Extracting data via pd.read_csv -- F Installation of an ODBC driver -- List of Figures -- Bibliography -- Index restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star 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. Issued also in print. Mode of access: Internet via World Wide Web. In English. Description based on online resource; title from PDF title page (publisher's Web site, viewed 29. Mai 2023) Science Data processing. Datenstruktur. Datenverarbeitung. Python. Wissenschaftler. Technology & Engineering / Chemical & Biochemical. bisacsh Data Processing. Data Structure. Data Visualization. Practitioner. Title is part of eBook package: De Gruyter DG Plus DeG Package 2023 Part 1 9783111175782 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2023 English 9783111319292 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2023 9783111318912 ZDB-23-DGG Title is part of eBook package: De Gruyter EBOOK PACKAGE Physics, Chemistry, Mat.Sc, Geosc 2023 English 9783111319230 Title is part of eBook package: De Gruyter EBOOK PACKAGE Physics, Chemistry, Mat.Sc, Geosc 2023 9783111318660 ZDB-23-DPC EPUB 9783110788532 print 9783110788402 https://doi.org/10.1515/9783110788433 https://www.degruyter.com/isbn/9783110788433 Cover https://www.degruyter.com/document/cover/isbn/9783110788433/original |
| language |
English |
| format |
eBook |
| author |
Hofmann, Matthias, Hofmann, Matthias, |
| spellingShingle |
Hofmann, Matthias, Hofmann, Matthias, Data Management for Natural Scientists : A Practical Guide to Data Extraction and Storage Using Python / De Gruyter Textbook Frontmatter -- Acknowledgment -- Contents -- 1 Presenting the challenge -- 2 Python quick start -- 3 The steps of data processing -- 4 From experimental files to data -- 5 From data to information -- 6 Where to put data and information -- 7 How to visualize data and information -- 8 Responding to lessons learned -- 9 Where to go from here -- 10 Conclusion -- A Packaging a custom module -- B Comments to tables and columns via SQLAlchemy -- C A word on version control systems -- D Overview of utilized Python and package versions -- E Extracting data via pd.read_csv -- F Installation of an ODBC driver -- List of Figures -- Bibliography -- Index |
| author_facet |
Hofmann, Matthias, Hofmann, Matthias, |
| author_variant |
m h mh m h mh |
| author_role |
VerfasserIn VerfasserIn |
| author_sort |
Hofmann, Matthias, |
| title |
Data Management for Natural Scientists : A Practical Guide to Data Extraction and Storage Using Python / |
| title_sub |
A Practical Guide to Data Extraction and Storage Using Python / |
| title_full |
Data Management for Natural Scientists : A Practical Guide to Data Extraction and Storage Using Python / Matthias Hofmann. |
| title_fullStr |
Data Management for Natural Scientists : A Practical Guide to Data Extraction and Storage Using Python / Matthias Hofmann. |
| title_full_unstemmed |
Data Management for Natural Scientists : A Practical Guide to Data Extraction and Storage Using Python / Matthias Hofmann. |
| title_auth |
Data Management for Natural Scientists : A Practical Guide to Data Extraction and Storage Using Python / |
| title_alt |
Frontmatter -- Acknowledgment -- Contents -- 1 Presenting the challenge -- 2 Python quick start -- 3 The steps of data processing -- 4 From experimental files to data -- 5 From data to information -- 6 Where to put data and information -- 7 How to visualize data and information -- 8 Responding to lessons learned -- 9 Where to go from here -- 10 Conclusion -- A Packaging a custom module -- B Comments to tables and columns via SQLAlchemy -- C A word on version control systems -- D Overview of utilized Python and package versions -- E Extracting data via pd.read_csv -- F Installation of an ODBC driver -- List of Figures -- Bibliography -- Index |
| title_new |
Data Management for Natural Scientists : |
| title_sort |
data management for natural scientists : a practical guide to data extraction and storage using python / |
| series |
De Gruyter Textbook |
| series2 |
De Gruyter Textbook |
| publisher |
De Gruyter, |
| publishDate |
2023 |
| physical |
1 online resource (XVI, 200 p.) Issued also in print. |
| contents |
Frontmatter -- Acknowledgment -- Contents -- 1 Presenting the challenge -- 2 Python quick start -- 3 The steps of data processing -- 4 From experimental files to data -- 5 From data to information -- 6 Where to put data and information -- 7 How to visualize data and information -- 8 Responding to lessons learned -- 9 Where to go from here -- 10 Conclusion -- A Packaging a custom module -- B Comments to tables and columns via SQLAlchemy -- C A word on version control systems -- D Overview of utilized Python and package versions -- E Extracting data via pd.read_csv -- F Installation of an ODBC driver -- List of Figures -- Bibliography -- Index |
| isbn |
9783110788433 9783111175782 9783111319292 9783111318912 9783111319230 9783111318660 9783110788532 9783110788402 |
| callnumber-first |
Q - Science |
| callnumber-subject |
Q - General Science |
| callnumber-label |
Q183 |
| callnumber-sort |
Q 3183.9 |
| url |
https://doi.org/10.1515/9783110788433 https://www.degruyter.com/isbn/9783110788433 https://www.degruyter.com/document/cover/isbn/9783110788433/original |
| illustrated |
Not Illustrated |
| dewey-hundreds |
500 - Science |
| dewey-tens |
500 - Science |
| dewey-ones |
502 - Miscellany |
| dewey-full |
502.85 |
| dewey-sort |
3502.85 |
| dewey-raw |
502.85 |
| dewey-search |
502.85 |
| doi_str_mv |
10.1515/9783110788433 |
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1370496260 |
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Title is part of eBook package: De Gruyter DG Plus DeG Package 2023 Part 1 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2023 English Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2023 Title is part of eBook package: De Gruyter EBOOK PACKAGE Physics, Chemistry, Mat.Sc, Geosc 2023 English Title is part of eBook package: De Gruyter EBOOK PACKAGE Physics, Chemistry, Mat.Sc, Geosc 2023 |
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Data Management for Natural Scientists : A Practical Guide to Data Extraction and Storage Using Python / |
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Title is part of eBook package: De Gruyter DG Plus DeG Package 2023 Part 1 |
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