Da: Buchpark, Trebbin, Germania
Condizione: Gut. Zustand: Gut | Seiten: 580 | Sprache: Englisch | Produktart: Bücher.
EUR 36,14
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Da: UK BOOKS STORE, London, LONDO, Regno Unito
EUR 41,13
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Aggiungi al carrelloPaperback. Condizione: USED BOOKS. USED BOOKS! Fast Delivery TextBooks Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Da: BookHolders, Towson, MD, U.S.A.
EUR 15,93
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Aggiungi al carrelloCondizione: Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: SOME ] [ Writing: NONE ] [ Edition: first ] Publisher: O'Reilly Media Pub Date: 12/16/2016 Binding: Paperback Pages: 672 first edition.
EUR 56,83
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Da: Gallix, Gif sur Yvette, Francia
EUR 39,95
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EUR 50,22
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EUR 46,27
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EUR 46,27
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Aggiungi al carrelloPaperback. Condizione: 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.
EUR 28,60
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EUR 50,63
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Da: BargainBookStores, Grand Rapids, MI, U.S.A.
EUR 51,79
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Aggiungi al carrelloPaperback or Softback. Condizione: New. Python Data Science Handbook: Essential Tools for Working with Data 2.15. Book.
Da: UK BOOKS STORE, London, LONDO, Regno Unito
EUR 58,28
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Aggiungi al carrelloPaperback. Condizione: USED BOOKS. USED BOOKS! Fast Delivery TextBooks Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
EUR 61,89
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Aggiungi al carrelloPaperback. Condizione: New. Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all-IPython, NumPy, pandas, Matplotlib, Scikit-Learn, and other related tools.Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.With this handbook, you'll learn how:IPython and Jupyter provide computational environments for scientists using PythonNumPy includes the ndarray for efficient storage and manipulation of dense data arraysPandas contains the DataFrame for efficient storage and manipulation of labeled/columnar dataMatplotlib includes capabilities for a flexible range of data visualizationsScikit-learn helps you build efficient and clean Python implementations of the most important and established machine learning algorithms.
Da: California Books, Miami, FL, U.S.A.
EUR 58,29
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 49,37
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 56,68
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Aggiungi al carrelloCondizione: New. In.
EUR 63,04
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Aggiungi al carrelloPaperback. Condizione: New. Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all-IPython, NumPy, pandas, Matplotlib, Scikit-Learn, and other related tools.Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.With this handbook, you'll learn how:IPython and Jupyter provide computational environments for scientists using PythonNumPy includes the ndarray for efficient storage and manipulation of dense data arraysPandas contains the DataFrame for efficient storage and manipulation of labeled/columnar dataMatplotlib includes capabilities for a flexible range of data visualizationsScikit-learn helps you build efficient and clean Python implementations of the most important and established machine learning algorithms.
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 63,83
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Aggiungi al carrelloCondizione: New. 2022. 2nd Edition. Paperback. . . . . .
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 50,21
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 55,44
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 62,09
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Aggiungi al carrelloCondizione: New. Über den AutorJake VanderPlas is a software engineer at Google Research, working on tools that support data-intensive research. He creates and develops Python tools for use in data-intensive science, including packages like Scikit-L.
EUR 73,06
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Aggiungi al carrelloPaperback. Condizione: New. Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all-IPython, NumPy, pandas, Matplotlib, Scikit-Learn, and other related tools.Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.With this handbook, you'll learn how:IPython and Jupyter provide computational environments for scientists using PythonNumPy includes the ndarray for efficient storage and manipulation of dense data arraysPandas contains the DataFrame for efficient storage and manipulation of labeled/columnar dataMatplotlib includes capabilities for a flexible range of data visualizationsScikit-learn helps you build efficient and clean Python implementations of the most important and established machine learning algorithms.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 60,51
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 1062.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 58,50
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Editore: O'Reilly Media, Inc., Sebastopol, CA, 2017
ISBN 10: 1491912057 ISBN 13: 9781491912058
Lingua: Inglese
Da: PsychoBabel & Skoob Books, Didcot, Regno Unito
EUR 41,22
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Aggiungi al carrelloPaperback. Condizione: Very Good. Paperback in very good condition. Reading crease front side. Corners are slightly bumped and rubbed. A few light marks on page block face. Covers are clean, binding is sound and pages are clear. LW. Used.
Da: Majestic Books, Hounslow, Regno Unito
EUR 69,58
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Da: Chiron Media, Wallingford, Regno Unito
EUR 55,51
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Aggiungi al carrelloPaperback. Condizione: New.
Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 79,64
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Aggiungi al carrelloCondizione: New. 2022. 2nd Edition. Paperback. . . . . . Books ship from the US and Ireland.
EUR 79,69
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Aggiungi al carrelloPaperback. Condizione: New. Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all-IPython, NumPy, pandas, Matplotlib, Scikit-Learn, and other related tools.Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.With this handbook, you'll learn how:IPython and Jupyter provide computational environments for scientists using PythonNumPy includes the ndarray for efficient storage and manipulation of dense data arraysPandas contains the DataFrame for efficient storage and manipulation of labeled/columnar dataMatplotlib includes capabilities for a flexible range of data visualizationsScikit-learn helps you build efficient and clean Python implementations of the most important and established machine learning algorithms.