Edité par O'Reilly Media (edition 1), 2021
ISBN 10 : 1492093408 ISBN 13 : 9781492093404
Langue: anglais
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Ajouter au panierPaperback. Etat : Fair. 1. Heavy wear. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported.
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Ajouter au panierPaperback. Etat : 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.
EUR 50,19
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Ajouter au panierPaperback. Etat : 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.
Edité par O'Reilly Media 7/13/2021, 2021
ISBN 10 : 1492093408 ISBN 13 : 9781492093404
Langue: anglais
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Ajouter au panierPaperback or Softback. Etat : New. Python and R for the Modern Data Scientist: The Best of Both Worlds 0.71. Book.
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Edité par O'Reilly Media, Inc, USA, 2021
ISBN 10 : 1492093408 ISBN 13 : 9781492093404
Langue: anglais
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EUR 49,80
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Ajouter au panierPaperback / softback. Etat : New. New copy - Usually dispatched within 4 working days. 209.
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Ajouter au panierPaperback. Etat : 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.
Edité par O'Reilly Media, Inc, USA, 2021
ISBN 10 : 1492093408 ISBN 13 : 9781492093404
Langue: anglais
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Ajouter au panierEtat : As New. Unread book in perfect condition.
EUR 61,24
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Ajouter au panierPaperback. Etat : 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.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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EUR 57,74
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Ajouter au panierEtat : 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.
Edité par O'Reilly Media, Inc, USA, 2021
ISBN 10 : 1492093408 ISBN 13 : 9781492093404
Langue: anglais
Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
EUR 67,59
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Ajouter au panierEtat : New. 2021. Paperback. . . . . . Books ship from the US and Ireland.
Edité par Oreilly & Associates Inc, 2021
ISBN 10 : 1492093408 ISBN 13 : 9781492093404
Langue: anglais
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 62,65
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Ajouter au panierPaperback. Etat : Brand New. 175 pages. 9.19x7.00x0.42 inches. In Stock.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 66,96
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Edité par O'reilly Media Jul 2021, 2021
ISBN 10 : 1492093408 ISBN 13 : 9781492093404
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 67,03
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware - 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. This book guides data scientists from the Python and R communities along the path to becoming bilingual. By recognizing the strengths of both languages, you'll discover new ways to accomplish data science tasks and expand your skill set.
Vendeur : Books Puddle, New York, NY, Etats-Unis
EUR 78,02
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EUR 39,30
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Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
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Edité par O'Reilly Media, Sebastopol, 2021
ISBN 10 : 1492093408 ISBN 13 : 9781492093404
Langue: anglais
Vendeur : AussieBookSeller, Truganina, VIC, Australie
EUR 79,81
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Ajouter au panierPaperback. Etat : new. Paperback. 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 language Understand the strengths and weaknesses of each language Identify use cases where one language is better suited than the other Understand the modern open source ecosystem available for both, including packages, frameworks, and workflows Learn how to integrate R and Python in a single workflow Follow a real-world case study that demonstrates ways to use these languages together" 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Edité par O'Reilly Media, Sebastopol, 2021
ISBN 10 : 1492093408 ISBN 13 : 9781492093404
Langue: anglais
Vendeur : Grand Eagle Retail, Mason, OH, Etats-Unis
EUR 53,53
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Ajouter au panierPaperback. Etat : new. Paperback. 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 language Understand the strengths and weaknesses of each language Identify use cases where one language is better suited than the other Understand the modern open source ecosystem available for both, including packages, frameworks, and workflows Learn how to integrate R and Python in a single workflow Follow a real-world case study that demonstrates ways to use these languages together" 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.