Data Science at the Command Line

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9781491947852: Data Science at the Command Line

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1.

Jeroen Janssens
ISBN 10 : 1491947853 ISBN 13 : 9781491947852
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Edition internationale
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Description du livre Paperback. État : New. This is an International Edition Brand New Paperback Same Title Author and Edition as listed. ISBN and Cover design differs. Similar Contents as U.S Edition. Standard Delivery within 6-14 business days ACROSS THE GLOBE. We can ship to PO Box address in US. International Edition Textbooks may bear a label "Not for sale in the U.S. or Canada" or "For sale in Asia only" or similar restrictions- printed only to discourage students from obtaining an affordable copy. US Court has asserted your right to buy and use International edition. Access code/CD may not provided with these editions. We may ship the books from multiple warehouses across the globe including Asia depending upon the availability of inventory. Printed in English. Customer satisfaction guaranteed. N° de réf. du libraire U_9789351108498

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2.

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. 231 x 178 mm. 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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3.

Jeroen Janssens
Edité par O Reilly Media, Inc, USA, United States (2014)
ISBN 10 : 1491947853 ISBN 13 : 9781491947852
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The Book Depository
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Description du livre O Reilly Media, Inc, USA, United States, 2014. Paperback. État : New. 231 x 178 mm. 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
Edité par O'Reilly Media, Inc, USA
ISBN 10 : 1491947853 ISBN 13 : 9781491947852
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THE SAINT BOOKSTORE
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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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Janssens, Jeroen
ISBN 10 : 1491947853 ISBN 13 : 9781491947852
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Description du livre Paperback. État : New. This item is printed on demand. Item doesn't include CD/DVD. N° de réf. du libraire 7783574

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Jeroen Janssens
Edité par Oand#8242;Reilly (2014)
ISBN 10 : 1491947853 ISBN 13 : 9781491947852
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Description du livre Oand#8242;Reilly, 2014. PAP. État : New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. N° de réf. du libraire WO-9781491947852

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Jeroen Janssens
Edité par O'Reilly Media, Inc, USA 2014-10-07, Sebastopol (2014)
ISBN 10 : 1491947853 ISBN 13 : 9781491947852
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Description du livre O'Reilly Media, Inc, USA 2014-10-07, Sebastopol, 2014. paperback. État : New. N° de réf. du libraire 9781491947852

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Janssens, Jeroen
ISBN 10 : 1491947853 ISBN 13 : 9781491947852
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Description du livre 2014. PAP. État : New. New Book. Shipped from US within 10 to 14 business days. Established seller since 2000. N° de réf. du libraire KB-9781491947852

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Jeroen Janssens
Edité par O'Reilly Media
ISBN 10 : 1491947853 ISBN 13 : 9781491947852
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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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Jeroen Janssens
Edité par O'Reilly Media (2014)
ISBN 10 : 1491947853 ISBN 13 : 9781491947852
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Description du livre O'Reilly Media, 2014. État : New. N° de réf. du libraire TH9781491947852

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