Verlag: O'Reilly Media (edition 1), 2014
ISBN 10: 1491947853 ISBN 13: 9781491947852
Sprache: Englisch
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Verlag: O'Reilly Media, Incorporated, 2014
ISBN 10: 1491947853 ISBN 13: 9781491947852
Sprache: Englisch
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Verlag: O'Reilly Media, Incorporated, 2014
ISBN 10: 1491947853 ISBN 13: 9781491947852
Sprache: Englisch
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Verlag: O'Reilly Media (edition 2), 2021
ISBN 10: 1492087912 ISBN 13: 9781492087915
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: New. This thoroughly revised 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, author Jeroen Janssens provides a Docker image packed with over 80 tools--useful whether you work with Windows, macOS, or Linux.You'll quickly discover why the command line is an agile, scalable, and extensible technology. Even if you're comfortable processing data with Python or R, you'll learn how to greatly improve your data science workflow by leveraging the command line's power. This book is ideal for data scientists, analysts, and engineers; software and machine learning engineers; and system administrators.Obtain data from websites, APIs, databases, and spreadsheetsPerform scrub operations on text, CSV, HTM, XML, and JSON filesExplore data, compute descriptive statistics, and create visualizationsManage your data science workflowCreate reusable command-line tools from one-liners and existing Python or R codeParallelize and distribute data-intensive pipelinesModel data with dimensionality reduction, clustering, regression, and classification algorithms.
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In den WarenkorbPaperback. Zustand: New. This thoroughly revised 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, author Jeroen Janssens provides a Docker image packed with over 80 tools--useful whether you work with Windows, macOS, or Linux.You'll quickly discover why the command line is an agile, scalable, and extensible technology. Even if you're comfortable processing data with Python or R, you'll learn how to greatly improve your data science workflow by leveraging the command line's power. This book is ideal for data scientists, analysts, and engineers; software and machine learning engineers; and system administrators.Obtain data from websites, APIs, databases, and spreadsheetsPerform scrub operations on text, CSV, HTM, XML, and JSON filesExplore data, compute descriptive statistics, and create visualizationsManage your data science workflowCreate reusable command-line tools from one-liners and existing Python or R codeParallelize and distribute data-intensive pipelinesModel data with dimensionality reduction, clustering, regression, and classification algorithms.
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In den WarenkorbPaperback or Softback. Zustand: New. Data Science at the Command Line: Obtain, Scrub, Explore, and Model Data with Unix Power Tools 1. Book.
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In den WarenkorbZustand: New. This thoroughly revised 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 m.
EUR 58,31
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In den WarenkorbPaperback. Zustand: New. This thoroughly revised 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, author Jeroen Janssens provides a Docker image packed with over 80 tools--useful whether you work with Windows, macOS, or Linux.You'll quickly discover why the command line is an agile, scalable, and extensible technology. Even if you're comfortable processing data with Python or R, you'll learn how to greatly improve your data science workflow by leveraging the command line's power. This book is ideal for data scientists, analysts, and engineers; software and machine learning engineers; and system administrators.Obtain data from websites, APIs, databases, and spreadsheetsPerform scrub operations on text, CSV, HTM, XML, and JSON filesExplore data, compute descriptive statistics, and create visualizationsManage your data science workflowCreate reusable command-line tools from one-liners and existing Python or R codeParallelize and distribute data-intensive pipelinesModel data with dimensionality reduction, clustering, regression, and classification algorithms.
Verlag: O'Reilly Media, Inc, USA 2021-08-27, 2021
ISBN 10: 1492087912 ISBN 13: 9781492087915
Sprache: Englisch
Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
EUR 46,23
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In den WarenkorbPaperback. Zustand: New.
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In den WarenkorbPaperback. Zustand: New. This thoroughly revised 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, author Jeroen Janssens provides a Docker image packed with over 80 tools--useful whether you work with Windows, macOS, or Linux.You'll quickly discover why the command line is an agile, scalable, and extensible technology. Even if you're comfortable processing data with Python or R, you'll learn how to greatly improve your data science workflow by leveraging the command line's power. This book is ideal for data scientists, analysts, and engineers; software and machine learning engineers; and system administrators.Obtain data from websites, APIs, databases, and spreadsheetsPerform scrub operations on text, CSV, HTM, XML, and JSON filesExplore data, compute descriptive statistics, and create visualizationsManage your data science workflowCreate reusable command-line tools from one-liners and existing Python or R codeParallelize and distribute data-intensive pipelinesModel data with dimensionality reduction, clustering, regression, and classification algorithms.
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware - 'This thoroughly revised 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, author Jeroen Janssens provides a Docker image packed with over 100 Unix power tools--useful whether you work with Windows, macOS, or Linux. You'll quickly discover why the command line is an agile, scalable, and extensible technology. Even if you're comfortable processing data with Python or R, you'll learn how to greatly improve your data science workflow by leveraging the command line's power. This book is ideal for data scientists, analysts, engineers, system administrators, and researchers'.
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 52,50
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In den WarenkorbZustand: New.
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In den WarenkorbPaperback. Zustand: Good. 1st Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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In den WarenkorbPaperback. Zustand: New. 1st Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
EUR 75,44
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In den WarenkorbZustand: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.