Librería: HPB Inc., Dallas, TX, Estados Unidos de America
EUR 20,40
Cantidad disponible: 1 disponibles
Añadir al carritopaperback. Condición: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
Idioma: Inglés
Publicado por Packt Publishing, Limited, 2018
ISBN 10: 1788835360 ISBN 13: 9781788835367
Librería: Better World Books: West, Reno, NV, Estados Unidos de America
EUR 23,79
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
EUR 23,81
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
EUR 38,72
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 37,55
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 42,70
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
EUR 43,14
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Packt Publishing Limited, GB, 2023
ISBN 10: 1788835360 ISBN 13: 9781788835367
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 49,46
Cantidad disponible: Más de 20 disponibles
Añadir al carritoDigital. Condición: New. Combine the power of Apache Spark and Python to build effective big data applicationsAbout This Book. Perform effective data processing, machine learning, and analytics using PySpark. Overcome challenges in developing and deploying Spark solutions using Python. Explore recipes for efficiently combining Python and Apache Spark to process dataWho This Book Is ForThe PySpark Cookbook is for you if you are a Python developer looking for hands-on recipes for using the Apache Spark 2.x ecosystem in the best possible way. A thorough understanding of Python (and some familiarity with Spark) will help you get the best out of the book.What You Will Learn. Configure a local instance of PySpark in a virtual environment . Install and configure Jupyter in local and multi-node environments. Create DataFrames from JSON and a dictionary using pyspark.sql. Explore regression and clustering models available in the ML module. Use DataFrames to transform data used for modeling. Connect to PubNub and perform aggregations on streamsIn DetailApache Spark is an open source framework for efficient cluster computing with a strong interface for data parallelism and fault tolerance. The PySpark Cookbook presents effective and time-saving recipes for leveraging the power of Python and putting it to use in the Spark ecosystem.You'll start by learning the Apache Spark architecture and how to set up a Python environment for Spark. You'll then get familiar with the modules available in PySpark and start using them effortlessly. In addition to this, you'll discover how to abstract data with RDDs and DataFrames, and understand the streaming capabilities of PySpark. You'll then move on to using ML and MLlib in order to solve any problems related to the machine learning capabilities of PySpark and use GraphFrames to solve graph-processing problems. Finally, you will explore how to deploy your applications to the cloud using the spark-submit command.By the end of this book, you will be able to use the Python API for Apache Spark to solve any problems associated with building data-intensive applications.Style and approachThis book is a rich collection of recipes that will come in handy when you are working with PySparkAddressing your common and not-so-common pain points, this is a book that you must have on the shelf.
Idioma: Inglés
Publicado por Packt Publishing 2018-06, 2018
ISBN 10: 1788835360 ISBN 13: 9781788835367
Librería: Chiron Media, Wallingford, Reino Unido
EUR 39,32
Cantidad disponible: 10 disponibles
Añadir al carritoPF. Condición: New.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 41,87
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In English.
EUR 42,27
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
EUR 46,85
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
EUR 48,76
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. This cookbook presents recipes on leveraging the power of Python and putting it to use in the Apache Spark ecosystem. By the end of this book, you will be able to solve any problem associated with building effective, data-intensive applications and performi.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 79,46
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: New. New. book.
Idioma: Inglés
Publicado por Packt Publishing Limited, GB, 2023
ISBN 10: 1788835360 ISBN 13: 9781788835367
Librería: Rarewaves.com UK, London, Reino Unido
EUR 45,11
Cantidad disponible: Más de 20 disponibles
Añadir al carritoDigital. Condición: New. Combine the power of Apache Spark and Python to build effective big data applicationsAbout This Book. Perform effective data processing, machine learning, and analytics using PySpark. Overcome challenges in developing and deploying Spark solutions using Python. Explore recipes for efficiently combining Python and Apache Spark to process dataWho This Book Is ForThe PySpark Cookbook is for you if you are a Python developer looking for hands-on recipes for using the Apache Spark 2.x ecosystem in the best possible way. A thorough understanding of Python (and some familiarity with Spark) will help you get the best out of the book.What You Will Learn. Configure a local instance of PySpark in a virtual environment . Install and configure Jupyter in local and multi-node environments. Create DataFrames from JSON and a dictionary using pyspark.sql. Explore regression and clustering models available in the ML module. Use DataFrames to transform data used for modeling. Connect to PubNub and perform aggregations on streamsIn DetailApache Spark is an open source framework for efficient cluster computing with a strong interface for data parallelism and fault tolerance. The PySpark Cookbook presents effective and time-saving recipes for leveraging the power of Python and putting it to use in the Spark ecosystem.You'll start by learning the Apache Spark architecture and how to set up a Python environment for Spark. You'll then get familiar with the modules available in PySpark and start using them effortlessly. In addition to this, you'll discover how to abstract data with RDDs and DataFrames, and understand the streaming capabilities of PySpark. You'll then move on to using ML and MLlib in order to solve any problems related to the machine learning capabilities of PySpark and use GraphFrames to solve graph-processing problems. Finally, you will explore how to deploy your applications to the cloud using the spark-submit command.By the end of this book, you will be able to use the Python API for Apache Spark to solve any problems associated with building data-intensive applications.Style and approachThis book is a rich collection of recipes that will come in handy when you are working with PySparkAddressing your common and not-so-common pain points, this is a book that you must have on the shelf.
Idioma: Inglés
Publicado por Packt Publishing Limited, 2018
ISBN 10: 1788835360 ISBN 13: 9781788835367
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 48,08
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Idioma: Inglés
Publicado por Packt Publishing Limited, 2018
ISBN 10: 1788835360 ISBN 13: 9781788835367
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 42,75
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Idioma: Inglés
Publicado por Packt Publishing, Limited, 2018
ISBN 10: 1788835360 ISBN 13: 9781788835367
Librería: Majestic Books, Hounslow, Reino Unido
EUR 47,10
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand pp. 330.
Idioma: Inglés
Publicado por Packt Publishing Limited, 2018
ISBN 10: 1788835360 ISBN 13: 9781788835367
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 48,64
Cantidad disponible: Más de 20 disponibles
Añadir al carritoPaperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 60,46
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.
Librería: preigu, Osnabrück, Alemania
EUR 54,35
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. PySpark Cookbook | Tomasz Drabas (u. a.) | Taschenbuch | Englisch | 2018 | Packt Publishing | EAN 9781788835367 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.