EUR 3,57 gastos de envío en Estados Unidos de America
Destinos, gastos y plazos de envíoGRATIS gastos de envío en Estados Unidos de America
Destinos, gastos y plazos de envíoLibrería: Romtrade Corp., STERLING HEIGHTS, MI, Estados Unidos de America
Condición: 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. Nº de ref. del artículo: ABNR-247059
Cantidad disponible: 5 disponibles
Librería: Books From California, Simi Valley, CA, Estados Unidos de America
paperback. Condición: Fine. Nº de ref. del artículo: mon0003661777
Cantidad disponible: 1 disponibles
Librería: Books Puddle, New York, NY, Estados Unidos de America
Condición: New. pp. 452 1st edition NO-PA16APR2015-KAP. Nº de ref. del artículo: 26401958283
Cantidad disponible: 4 disponibles
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: New. Nº de ref. del artículo: 47509234-n
Cantidad disponible: Más de 20 disponibles
Librería: Majestic Books, Hounslow, Reino Unido
Condición: New. pp. 452. Nº de ref. del artículo: 394451540
Cantidad disponible: 4 disponibles
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 47509234
Cantidad disponible: Más de 20 disponibles
Librería: Biblios, Frankfurt am main, HESSE, Alemania
Condición: New. pp. 452. Nº de ref. del artículo: 18401958273
Cantidad disponible: 4 disponibles
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
Condición: New. Nº de ref. del artículo: 47509234-n
Cantidad disponible: Más de 20 disponibles
Librería: Grand Eagle Retail, Fairfield, OH, Estados Unidos de America
Paperback. Condición: 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. Nº de ref. del artículo: 9781032572239
Cantidad disponible: 1 disponibles
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
Paperback / softback. Condición: New. New copy - Usually dispatched within 4 working days. 834. Nº de ref. del artículo: B9781032572239
Cantidad disponible: 1 disponibles