Data Science at the Command Line: Facing the Future with Time-Tested Tools - Brossura

Janssens, Jeroen

 
9781491947852: Data Science at the Command Line: Facing the Future with Time-Tested Tools
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ISBN 10: 1491947853 ISBN 13: 9781491947852
Casa editrice: O'Reilly UK Ltd., 2014

Sinossi

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

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

Jeroen Janssens is an assistant professor of data science at Tilburg University. As an independent consultant and trainer, he helps organizations making sense of their data. Previously, he was a data scientist at Elsevier in Amsterdam and startups YPlan and Visual Revenue in New York City. Jeroen holds an MSc in artificial intelligence from Maastricht University and a PhD in machine learning from Tilburg University. He's passionate about building open source tools for data science.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
O'Reilly UK Ltd.
Data di pubblicazione
2014
Lingua
Inglese
ISBN 10 
1491947853
ISBN 13 
9781491947852
Rilegatura
Copertina flessibile
Numero di pagine
212
Contatto del produttore
non disponibile
Persona responsabile
non disponibile

Altre edizioni note dello stesso titolo

9789351108498: Data Science at the Command Line

Edizione in evidenza

ISBN 10:  935110849X ISBN 13:  9789351108498
Casa editrice: Shroff Publishers & Distribu..., 2014
Brossura