Python Modern Data Scientist by Scavetta Rick (27 results)

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  • Language: English

    Published by O'Reilly Media, 2021

    1492093408 / 9781492093404

    • Softcover

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    Condition: good. Book shows general signs of use and handling. May have light wear on the cover or edges and minimal writing or highlighting. Binding remains tight, and pages are clean and readable.

  • Language: English

    Published by O'Reilly Media, 2021

    1492093408 / 9781492093404

    • Softcover

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    Paperback. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

  • Language: English

    Published by O'Reilly Media, 2021

    1492093408 / 9781492093404

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  • Language: English

    Published by O'Reilly Media, 2021

    1492093408 / 9781492093404

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  • Language: English

    Published by O'Reilly Media, 2021

    1492093408 / 9781492093404

    • Softcover

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  • Language: English

    Published by O'Reilly Media, 2021

    1492093408 / 9781492093404

    • Softcover

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    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.

  • Language: English

    Published by O'Reilly Media, 2021

    1492093408 / 9781492093404

    • Softcover

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  • Language: English

    Published by O'Reilly Media, US, 2021

    1492093408 / 9781492093404

    • Softcover

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    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

    1492093408 / 9781492093404

    • Softcover

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    Paperback or Softback. Condition: New. Python and R for the Modern Data Scientist: The Best of Both Worlds. Book.

  • Language: English

    Published by O'Reilly Media, 2021

    1492093408 / 9781492093404

    • Softcover

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  • Language: English

    Published by O'Reilly Media, 2021

    1492093408 / 9781492093404

    • Softcover

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    PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

  • Language: English

    Published by O'Reilly Media, 2021

    1492093408 / 9781492093404

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  • Language: English

    Published by O'Reilly Media, US, 2021

    1492093408 / 9781492093404

    • Softcover

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    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

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    1492093408 / 9781492093404

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  • Language: English

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  • Language: English

    Published by O'Reilly Media, Inc, USA, 2021

    1492093408 / 9781492093404

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  • Language: English

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    1492093408 / 9781492093404

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  • Language: English

    Published by Oreilly & Associates Inc, 2021

    1492093408 / 9781492093404

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    Paperback. Condition: Brand New. 175 pages. 9.19x7.00x0.42 inches. In Stock.

  • Language: English

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  • Language: English

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  • Language: English

    Published by O'Reilly Media, Inc, USA, 2021

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    Condition: New. 2021. Paperback. . . . . .

  • Language: English

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  • Language: English

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    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

    1492093408 / 9781492093404

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    Condition: New. 2021. Paperback. . . . . . Books ship from the US and Ireland.

  • Language: English

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    1492093408 / 9781492093404

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    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.

  • Language: English

    Published by O'Reilly Media, US, 2021

    1492093408 / 9781492093404

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    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

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    1492093408 / 9781492093404

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    Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 209.