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Condizione: As New. Dlamini, S. Mthokozisi Siboniso (illustratore). Unread book in perfect condition.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New. Dlamini, S. Mthokozisi Siboniso (illustratore).
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Condizione: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
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Da: California Books, Miami, FL, U.S.A.
EUR 32,37
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 20,25
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Aggiungi al carrelloCondizione: As New. Dlamini, S. Mthokozisi Siboniso (illustratore). Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 24,98
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Aggiungi al carrelloCondizione: New. Dlamini, S. Mthokozisi Siboniso (illustratore).
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Aggiungi al carrelloPaperback. Condizione: Brand New. 260 pages. 9.25x6.00x0.75 inches. In Stock.
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EUR 38,18
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Da: California Books, Miami, FL, U.S.A.
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Aggiungi al carrelloCondizione: New. Dlamini, S. Mthokozisi Siboniso (illustratore). Print on Demand.
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware -¿Learn how to use Python and its structures, how to install Python, and which tools are best suited for data analyst work. This book provides you with a handy reference and tutorial on topics ranging from basic Python concepts through to data mining, manipulating and importing datasets, and data analysis.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 276 pp. Englisch.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 36,74
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Da: Majestic Books, Hounslow, Regno Unito
EUR 36,70
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 188.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 38,80
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 35,30
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Learn how to use Python and its structures, how to install Python, and which tools are best suited for data analyst work. This book provides you with a handy reference and tutorial on topics ranging from basic Python concepts through to data mining, manipulating and importing datasets, and data analysis.Python for Data Mining Quick Syntax Referencecovers each concept concisely, with many illustrative examples. You'll be introduced to several data mining packages, with examples of how to use each of them.The first part covers core Python including objects, lists, functions, modules, and error handling. The second part covers Python's most important data mining packages: NumPy and SciPy for mathematical functions and random data generation, pandas for dataframe management and data import, Matplotlib for drawing charts, and scikitlearn for machine learning.What You'll LearnInstall Python and choose a development environmentUnderstand the basic concepts of object-oriented programmingImport, open, and edit filesReview the differences between Python 2.x and 3.xWho This Book Is ForProgrammers new to Python's data mining packages or with experience in other languages, who want a quick guide to Pythonic tools and techniques. 276 pp. Englisch.
Da: moluna, Greven, Germania
EUR 30,82
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Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. A concise guide to common Python features and popular data mining tools including pandas, SciPy, NumPy, and MatplotlibQuick reference format offers readers essential information and brief explanations with many examples.
Da: moluna, Greven, Germania
EUR 40,13
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book is an introduction to data mining and its practical demonstration of working with real-world data sets. With this book, you will be able to extract useful insights using common Python libraries. You will also learn key stages like data loading, cl.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 36,64
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Learn how to use Python and its structures, how to install Python, and which tools are best suited for data analyst work. This book provides you with a handy reference and tutorial on topics ranging from basic Python concepts through to data mining, manipulating and importing datasets, and data analysis.Python for Data Mining Quick Syntax Referencecovers each concept concisely, with many illustrative examples. You'll be introduced to several data mining packages, with examples of how to use each of them.The first part covers core Python including objects, lists, functions, modules, and error handling. The second part covers Python's most important data mining packages: NumPy and SciPy for mathematical functions and random data generation, pandas for dataframe management and data import, Matplotlib for drawing charts, and scikitlearn for machine learning.What You'll LearnInstall Python and choose a development environmentUnderstand the basic concepts of object-oriented programmingImport, open, and edit filesReview the differences between Python 2.x and 3.xWho This Book Is ForProgrammers new to Python's data mining packages or with experience in other languages, who want a quick guide to Pythonic tools and techniques.
Da: preigu, Osnabrück, Germania
EUR 32,15
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Python for Data Mining Quick Syntax Reference | Valentina Porcu | Taschenbuch | xv | Englisch | 2018 | Apress | EAN 9781484241127 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.