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

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9781491947852: 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 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

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

About the Author :

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

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Jeroen Janssens
Edité par O Reilly Media, Inc, USA, United States (2014)
ISBN 10 : 1491947853 ISBN 13 : 9781491947852
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Description du livre O Reilly Media, Inc, USA, United States, 2014. Paperback. État : New. Language: English . Brand New Book. 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. N° de réf. du libraire AAS9781491947852

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Jeroen Janssens
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ISBN 10 : 1491947853 ISBN 13 : 9781491947852
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Description du livre O Reilly Media, Inc, USA, United States, 2014. Paperback. État : New. Language: English . Brand New Book. 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. N° de réf. du libraire AAS9781491947852

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Description du livre O'Reilly Media, Inc, USA. Paperback. État : new. BRAND NEW, Data Science at the Command Line: Facing the Future with Time-Tested Tools, Jeroen Janssens, 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. N° de réf. du libraire B9781491947852

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Description du livre O'Reilly Media. Paperback. État : New. Paperback. 208 pages. Dimensions: 9.2in. x 7.0in. x 0.6in.In this practical guide, youll learn how to leverage the power of the command line for doing data science. By combining small, yet powerful, command-line tools, you can quickly obtain, scrub, explore, and model your data. Even if youre already comfortable processing data with R or Python, being able to integrate the command line into your existing workflow will make you a more efficient and productive data scientist. Learn essential concepts and built-in commands of the nix command lineGet started with your own Data Science Toolbox on either Linux, Mac OS X, or Microsoft WindowsUse classic command-line tools such as grep, sed, and awkObtain data from websites, APIs, databases, and spreadsheetsParallelize and distribute data-intensive pipelines to remote machines, including AWS EC2Clean data in CSV, JSON, and XMLHTML formats using csvkit, and jq, and scrapeApply dimensionality reduction, clustering, regression, and classification algorithmsVisualize data and results from the command line using gnuplot and ggplotTurn Bash one-liners and existing Python and R code into reusable command-line tools This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. N° de réf. du libraire 9781491947852

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