Language: English
Published by O'Reilly Media (edition 1), 2021
ISBN 10: 1492093408 ISBN 13: 9781492093404
Seller: BooksRun, Philadelphia, PA, U.S.A.
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Seller: thebookforest.com, San Rafael, CA, U.S.A.
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Seller: medimops, Berlin, Germany
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Seller: Lakeside Books, Benton Harbor, MI, U.S.A.
Condition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
Paperback. Condition: New. Success in data science depends on the flexible and appropriate use of tools. That includes Python and R, two of the foundational programming languages in the field. With this book, data scientists from the Python and R communities will learn how to speak the dialects of each language. By recognizing the strengths of working with both, you'll discover new ways to accomplish data science tasks and expand your skill set.Authors Boyan Angelov and Rick Scavetta explain the parallel structures of these languages and highlight where each one excels, whether it's their linguistic features or the powers of their open source ecosystems. Not only will you learn how to use Python and R together in real-world settings, but you'll also broaden your knowledge and job opportunities by working as a bilingual data scientist.Learn Python and R from the perspective of your current languageUnderstand the strengths and weaknesses of each languageIdentify use cases where one language is better suited than the otherUnderstand the modern open source ecosystem available for both, including packages, frameworks, and workflowsLearn how to integrate R and Python in a single workflowFollow a real-world case study that demonstrates ways to use these languages together.
Language: English
Published by O'Reilly Media 7/13/2021, 2021
ISBN 10: 1492093408 ISBN 13: 9781492093404
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condition: New. Python and R for the Modern Data Scientist: The Best of Both Worlds. Book.
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
US$ 59.24
Quantity: Over 20 available
Add to basketPaperback. Condition: New. Success in data science depends on the flexible and appropriate use of tools. That includes Python and R, two of the foundational programming languages in the field. With this book, data scientists from the Python and R communities will learn how to speak the dialects of each language. By recognizing the strengths of working with both, you'll discover new ways to accomplish data science tasks and expand your skill set.Authors Boyan Angelov and Rick Scavetta explain the parallel structures of these languages and highlight where each one excels, whether it's their linguistic features or the powers of their open source ecosystems. Not only will you learn how to use Python and R together in real-world settings, but you'll also broaden your knowledge and job opportunities by working as a bilingual data scientist.Learn Python and R from the perspective of your current languageUnderstand the strengths and weaknesses of each languageIdentify use cases where one language is better suited than the otherUnderstand the modern open source ecosystem available for both, including packages, frameworks, and workflowsLearn how to integrate R and Python in a single workflowFollow a real-world case study that demonstrates ways to use these languages together.
Seller: Brook Bookstore On Demand, Napoli, NA, Italy
Condition: new.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Add to basketCondition: New.
Language: English
Published by O'Reilly Media, Inc, USA, 2021
ISBN 10: 1492093408 ISBN 13: 9781492093404
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
US$ 60.62
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Add to basketCondition: As New. Unread book in perfect condition.
Language: English
Published by Oreilly & Associates Inc, 2021
ISBN 10: 1492093408 ISBN 13: 9781492093404
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketPaperback. Condition: Brand New. 175 pages. 9.19x7.00x0.42 inches. In Stock.
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Language: English
Published by O'Reilly Media, Inc, USA, 2021
ISBN 10: 1492093408 ISBN 13: 9781492093404
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Condition: New. 2021. Paperback. . . . . .
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New.
Paperback. Condition: New. Success in data science depends on the flexible and appropriate use of tools. That includes Python and R, two of the foundational programming languages in the field. With this book, data scientists from the Python and R communities will learn how to speak the dialects of each language. By recognizing the strengths of working with both, you'll discover new ways to accomplish data science tasks and expand your skill set.Authors Boyan Angelov and Rick Scavetta explain the parallel structures of these languages and highlight where each one excels, whether it's their linguistic features or the powers of their open source ecosystems. Not only will you learn how to use Python and R together in real-world settings, but you'll also broaden your knowledge and job opportunities by working as a bilingual data scientist.Learn Python and R from the perspective of your current languageUnderstand the strengths and weaknesses of each languageIdentify use cases where one language is better suited than the otherUnderstand the modern open source ecosystem available for both, including packages, frameworks, and workflowsLearn how to integrate R and Python in a single workflowFollow a real-world case study that demonstrates ways to use these languages together.
Language: English
Published by O'Reilly Media, Inc, USA, 2021
ISBN 10: 1492093408 ISBN 13: 9781492093404
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. 2021. Paperback. . . . . . Books ship from the US and Ireland.
Condition: New. With this book, data scientists from the Python and R communities will learn how to speak the dialects of each language. By recognizing the strengths of working with both, you ll discover new ways to accomplish data science tasks and expand your skill set.
US$ 56.54
Quantity: Over 20 available
Add to basketPaperback. Condition: New. Success in data science depends on the flexible and appropriate use of tools. That includes Python and R, two of the foundational programming languages in the field. With this book, data scientists from the Python and R communities will learn how to speak the dialects of each language. By recognizing the strengths of working with both, you'll discover new ways to accomplish data science tasks and expand your skill set.Authors Boyan Angelov and Rick Scavetta explain the parallel structures of these languages and highlight where each one excels, whether it's their linguistic features or the powers of their open source ecosystems. Not only will you learn how to use Python and R together in real-world settings, but you'll also broaden your knowledge and job opportunities by working as a bilingual data scientist.Learn Python and R from the perspective of your current languageUnderstand the strengths and weaknesses of each languageIdentify use cases where one language is better suited than the otherUnderstand the modern open source ecosystem available for both, including packages, frameworks, and workflowsLearn how to integrate R and Python in a single workflowFollow a real-world case study that demonstrates ways to use these languages together.
Language: English
Published by O'Reilly Media, Inc, USA, 2021
ISBN 10: 1492093408 ISBN 13: 9781492093404
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
US$ 62.17
Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 209.