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Versandziele, Kosten & DauerAnbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. Bestandsnummer des Verkäufers ABNR-247059
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Anbieter: Books From California, Simi Valley, CA, USA
paperback. Zustand: Fine. Bestandsnummer des Verkäufers mon0003661777
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Anbieter: Books Puddle, New York, NY, USA
Zustand: New. pp. 452 1st edition NO-PA16APR2015-KAP. Bestandsnummer des Verkäufers 26401958283
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Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: New. Bestandsnummer des Verkäufers 47509234-n
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Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Zustand: New. pp. 452. Bestandsnummer des Verkäufers 394451540
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Anbieter: GreatBookPrices, Columbia, MD, USA
Zustand: As New. Unread book in perfect condition. Bestandsnummer des Verkäufers 47509234
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Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New. pp. 452. Bestandsnummer des Verkäufers 18401958273
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Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
Zustand: New. Bestandsnummer des Verkäufers 47509234-n
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Anbieter: Grand Eagle Retail, Fairfield, OH, USA
Paperback. Zustand: new. Paperback. Data Science: A First Introduction with Python focuses on using the Python programming language in Jupyter notebooks to perform data manipulation and cleaning, create effective visualizations, and extract insights from data using classification, regression, clustering, and inference. It emphasizes workflows that are clear, reproducible, and shareable, and includes coverage of the basics of version control. Based on educational research and active learning principles, the book uses a modern approach to Python and includes accompanying autograded Jupyter worksheets for interactive, self-directed learning. The text will leave readers well-prepared for data science projects. It is designed for learners from all disciplines with minimal prior knowledge of mathematics and programming. The authors have honed the material through years of experience teaching thousands of undergraduates at the University of British Columbia.Key Features:Includes autograded worksheets for interactive, self-directed learning.Introduces readers to modern data analysis and workflow tools such as Jupyter notebooks and GitHub, and covers cutting-edge data analysis and manipulation Python libraries such as pandas, scikit-learn, and altair.Is designed for a broad audience of learners from all backgrounds and disciplines. Data Science: A First Introduction with Python focuses on using the Python programming language in Jupyter notebooks to perform data manipulation and cleaning, create effective visualizations, and extract insights from data using classification, regression, clustering, and inference. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781032572239
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Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
Paperback / softback. Zustand: New. New copy - Usually dispatched within 4 working days. 834. Bestandsnummer des Verkäufers B9781032572239
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