Idioma: Inglés
Publicado por O'Reilly Media (edition 1), 2021
ISBN 10: 1492093408 ISBN 13: 9781492093404
Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
EUR 17,38
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Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
EUR 35,97
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Librería: thebookforest.com, San Rafael, CA, Estados Unidos de America
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Librería: medimops, Berlin, Alemania
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Librería: medimops, Berlin, Alemania
EUR 26,97
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 40,77
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Librería: Lakeside Books, Benton Harbor, MI, Estados Unidos de America
EUR 39,58
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Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
EUR 43,95
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Añadir al carritoPaperback. Condición: 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.
Idioma: Inglés
Publicado por O'Reilly Media 7/13/2021, 2021
ISBN 10: 1492093408 ISBN 13: 9781492093404
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 44,16
Cantidad disponible: 5 disponibles
Añadir al carritoPaperback or Softback. Condición: New. Python and R for the Modern Data Scientist: The Best of Both Worlds. Book.
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 44,46
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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EUR 42,88
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: WorldofBooks, Goring-By-Sea, WS, Reino Unido
EUR 42,52
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Añadir al carritoPaperback. Condición: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 48,94
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Añadir al carritoCondición: New.
EUR 52,72
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Añadir al carritoPaperback. Condición: 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.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 47,12
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 42,87
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Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por O'Reilly Media, Inc, USA, 2021
ISBN 10: 1492093408 ISBN 13: 9781492093404
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 52,37
Cantidad disponible: 4 disponibles
Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 50,42
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Oreilly & Associates Inc, 2021
ISBN 10: 1492093408 ISBN 13: 9781492093404
Librería: Revaluation Books, Exeter, Reino Unido
EUR 62,99
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 175 pages. 9.19x7.00x0.42 inches. In Stock.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 70,40
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por O'Reilly Media, Inc, USA, 2021
ISBN 10: 1492093408 ISBN 13: 9781492093404
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 72,59
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Añadir al carritoCondición: New. 2021. Paperback. . . . . .
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 84,20
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New.
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de America
EUR 45,87
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback. Condición: 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.
Idioma: Inglés
Publicado por O'Reilly Media, Inc, USA, 2021
ISBN 10: 1492093408 ISBN 13: 9781492093404
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 90,28
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New. 2021. Paperback. . . . . . Books ship from the US and Ireland.
Librería: moluna, Greven, Alemania
EUR 49,93
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: 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.
EUR 48,85
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback. Condición: 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.
Idioma: Inglés
Publicado por O'reilly Media Jul 2021, 2021
ISBN 10: 1492093408 ISBN 13: 9781492093404
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 65,78
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: 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. Authors Rick Scavetta and Boyan Angelov 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. You'll learn how to use Python and R together in real-world settings and broaden your job opportunities 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 case study that demonstrates ways to use these languages together.
Idioma: Inglés
Publicado por O'Reilly Media, Inc, USA, 2021
ISBN 10: 1492093408 ISBN 13: 9781492093404
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 53,71
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 209.