Data science at the command line: facing the future with time-tested tools
This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You'll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data. To get you started--whether yo...
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| Main Author: | |
|---|---|
| Other Authors: | , , , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Sebastopol, California
O'Reilly
2015
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| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9781491947845/?ar |
| Summary: | This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You'll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data. To get you started--whether you're on Windows, OS X, or Linux--author Jeroen Janssens introduces the Data Science Toolbox, an easy-to-install virtual environment packed with over 80 command-line tools. Discover why the command line is an agile, scalable, and extensible technology. Even if you're already comfortable processing data with, say, Python or R, you'll greatly improve your data science workflow by also leveraging the power of the command line. Obtain data from websites, APIs, databases, and spreadsheets Perform scrub operations on plain text, CSV, HTML/XML, and JSON Explore data, compute descriptive statistics, and create visualizations Manage your data science workflow using Drake Create reusable tools from one-liners and existing Python or R code Parallelize and distribute data-intensive pipelines using GNU Parallel Model data with dimensionality reduction, clustering, regression, and classification algorithms. |
| Item Description: | Includes bibliographical references and index. - Online resource; title from PDF title page (ebrary, viewed October 11, 2014) |
| Physical Description: | 1 Online-Ressource (212 Seiten) Illustrationen (some color) |
| ISBN: | 9781491947821 1491947829 1491947853 9781491947852 |
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| spelling | Janssens, Jeroen VerfasserIn aut Data science at the command line facing the future with time-tested tools Jeroen Janssens ; Mike Loukides, Ann Spencer, and Marie Beaugureau, editors ; Matthew Hacker, production editor ; Kiel Van Horn, copyeditor Sebastopol, California O'Reilly 2015 ©2015 1 Online-Ressource (212 Seiten) Illustrationen (some color) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Online resource; title from PDF title page (ebrary, viewed October 11, 2014) This hands-on guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You'll learn how to combine small, yet powerful, command-line tools to quickly obtain, scrub, explore, and model your data. To get you started--whether you're on Windows, OS X, or Linux--author Jeroen Janssens introduces the Data Science Toolbox, an easy-to-install virtual environment packed with over 80 command-line tools. Discover why the command line is an agile, scalable, and extensible technology. Even if you're already comfortable processing data with, say, Python or R, you'll greatly improve your data science workflow by also leveraging the power of the command line. Obtain data from websites, APIs, databases, and spreadsheets Perform scrub operations on plain text, CSV, HTML/XML, and JSON Explore data, compute descriptive statistics, and create visualizations Manage your data science workflow using Drake Create reusable tools from one-liners and existing Python or R code Parallelize and distribute data-intensive pipelines using GNU Parallel Model data with dimensionality reduction, clustering, regression, and classification algorithms. Database management Bases de données ; Gestion Spencer, Ann HerausgeberIn edt Beaugureau, Marie HerausgeberIn edt Hacker, Matthew HerausgeberIn edt Horn, Kiel Van HerausgeberIn edt 9781491947852 Erscheint auch als Druck-Ausgabe 9781491947852 |
| spellingShingle | Janssens, Jeroen Data science at the command line facing the future with time-tested tools Database management Bases de données ; Gestion |
| title | Data science at the command line facing the future with time-tested tools |
| title_auth | Data science at the command line facing the future with time-tested tools |
| title_exact_search | Data science at the command line facing the future with time-tested tools |
| title_full | Data science at the command line facing the future with time-tested tools Jeroen Janssens ; Mike Loukides, Ann Spencer, and Marie Beaugureau, editors ; Matthew Hacker, production editor ; Kiel Van Horn, copyeditor |
| title_fullStr | Data science at the command line facing the future with time-tested tools Jeroen Janssens ; Mike Loukides, Ann Spencer, and Marie Beaugureau, editors ; Matthew Hacker, production editor ; Kiel Van Horn, copyeditor |
| title_full_unstemmed | Data science at the command line facing the future with time-tested tools Jeroen Janssens ; Mike Loukides, Ann Spencer, and Marie Beaugureau, editors ; Matthew Hacker, production editor ; Kiel Van Horn, copyeditor |
| title_short | Data science at the command line |
| title_sort | data science at the command line facing the future with time tested tools |
| title_sub | facing the future with time-tested tools |
| topic | Database management Bases de données ; Gestion |
| topic_facet | Database management Bases de données ; Gestion |
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