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Data Analysis Python Pyspark by Rioux Jonathan (26 results)
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Data Analysis with Python and PySpark
Seller: Goodwill Southern California, Los Angeles, CA, U.S.A.
Seller rating 5 out of 5 stars
Condition: good.
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Condition: As New. Unread book in perfect condition.
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Condition: As New. Unread copy in mint condition.
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Condition: New.
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Condition: New.
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Data Analysis with Python and PySpark
Published by Manning Publications Co., Shelter Island, NY, 2022
ISBN 10: 1617297208 ISBN 13: 9781617297205
Language: English
Seller: PsychoBabel & Skoob Books, Didcot, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Very Good. Paperback in very good condition. Cover edges and corners are slightly bumped and rubbed. Covers are clean, binding is sound and content is as unread. LW. Used.
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Condition: New.
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Data Analysis with Python and PySpark
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Data Analysis with Python and PySpark (Paperback)
Published by Manning Publications, New York, 2022
ISBN 10: 1617297208 ISBN 13: 9781617297205
Language: English
Paperback. Condition: new. Paperback. When it comes to data analytics, it pays tothink big. PySpark blends the powerful Spark big data processing engine withthe Python programming language to provide a data analysis platform that can scaleup for nearly any task. Data Analysis with Python and PySpark is yourguide to delivering successful Python-driven data projects. Data Analysis with Python and PySpark is a carefully engineered tutorial that helps you use PySpark to deliver your data-driven applications at any scale. This clear and hands-on guide shows you how to enlarge your processing capabilities across multiple machines with data from any source, ranging from Had oop-based clusters to Excel worksheets. You'll learn how to break down big analysis tasks into manageable chunks and how to choose and use the best PySpark data abstraction for your unique needs. The Spark data processing engine is an amazing analytics factory: raw data comes in,and insight comes out. Thanks to its ability to handle massive amounts of data distributed across a cluster, Spark has been adopted as standard by organizations both big and small. PySpark, which wraps the core Spark engine with a Python-based API, puts Spark-based data pipelines in the hands of programmers and data scientists working with the Python programming language. PySpark simplifies Spark's steep learning curve, and provides a seamless bridge between Spark and an ecosystem of Python-based data science tools. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Data Analysis with Python and PySpark
Published by Manning Publications, US, 2022
ISBN 10: 1617297208 ISBN 13: 9781617297205
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. When it comes to data analytics, it pays tothink big. PySpark blends the powerful Spark big data processing engine withthe Python programming language to provide a data analysis platform that can scaleup for nearly any task. Data Analysis with Python and PySpark is yourguide to delivering successful Python-driven data projects. Data Analysis with Python and PySpark is a carefully engineered tutorial that helps you use PySpark to deliver your data-driven applications at any scale. This clear and hands-on guide shows you how to enlarge your processing capabilities across multiple machines with data from any source, ranging from Had oop-based clusters to Excel worksheets. You'll learn how to break down big analysis tasks into manageable chunks and how to choose and use the best PySpark data abstraction for your unique needs. The Spark data processing engine is an amazing analytics factory: raw data comes in,and insight comes out. Thanks to its ability to handle massive amounts of data distributed across a cluster, Spark has been adopted as standard by organizations both big and small. PySpark, which wraps the core Spark engine with a Python-based API, puts Spark-based data pipelines in the hands of programmers and data scientists working with the Python programming language. PySpark simplifies Spark's steep learning curve, and provides a seamless bridge between Spark and an ecosystem of Python-based data science tools.
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Data Analysis With Python and PySpark
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Data Analysis With Python and PySpark
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Condition: 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.
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Condition: New.
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Data Analysis with Python and PySpark
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Paperback. Condition: New. Special order direct from the distributor.
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Paperback. Condition: Brand New. 425 pages. 9.25x7.37x1.06 inches. In Stock.
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Data Analysis with Python and PySpark
Published by Manning Publications, 2022
ISBN 10: 1617297208 ISBN 13: 9781617297205
Language: English
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
First Edition
Condition: New. 2022. 1st Edition. Paperback. . . . . .
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Paperback. Condition: Brand New. 425 pages. 9.25x7.37x1.06 inches. In Stock.
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Data Analysis with Python and PySpark
Published by Manning Publications, 2022
ISBN 10: 1617297208 ISBN 13: 9781617297205
Language: English
Condition: New. 2022. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.
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Data Analysis with Python and Pyspark
Published by Manning Publications, 2022
ISBN 10: 1617297208 ISBN 13: 9781617297205
Language: English
Condition: New. Über den AutorAs a data scientist for an engineering consultancy Jonathan Rioux uses PySpark daily. He teaches the software to data scientists, engineers, and data-savvy business analysts.Klappent.
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Data Analysis with Python and PySpark (Paperback)
Published by Manning Publications, New York, 2022
ISBN 10: 1617297208 ISBN 13: 9781617297205
Language: English
Paperback. Condition: new. Paperback. When it comes to data analytics, it pays tothink big. PySpark blends the powerful Spark big data processing engine withthe Python programming language to provide a data analysis platform that can scaleup for nearly any task. Data Analysis with Python and PySpark is yourguide to delivering successful Python-driven data projects. Data Analysis with Python and PySpark is a carefully engineered tutorial that helps you use PySpark to deliver your data-driven applications at any scale. This clear and hands-on guide shows you how to enlarge your processing capabilities across multiple machines with data from any source, ranging from Had oop-based clusters to Excel worksheets. You'll learn how to break down big analysis tasks into manageable chunks and how to choose and use the best PySpark data abstraction for your unique needs. The Spark data processing engine is an amazing analytics factory: raw data comes in,and insight comes out. Thanks to its ability to handle massive amounts of data distributed across a cluster, Spark has been adopted as standard by organizations both big and small. PySpark, which wraps the core Spark engine with a Python-based API, puts Spark-based data pipelines in the hands of programmers and data scientists working with the Python programming language. PySpark simplifies Spark's steep learning curve, and provides a seamless bridge between Spark and an ecosystem of Python-based data science tools. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Data Analysis with Python and PySpark
Published by Manning Publications, US, 2022
ISBN 10: 1617297208 ISBN 13: 9781617297205
Language: English
Paperback. Condition: New. When it comes to data analytics, it pays tothink big. PySpark blends the powerful Spark big data processing engine withthe Python programming language to provide a data analysis platform that can scaleup for nearly any task. Data Analysis with Python and PySpark is yourguide to delivering successful Python-driven data projects. Data Analysis with Python and PySpark is a carefully engineered tutorial that helps you use PySpark to deliver your data-driven applications at any scale. This clear and hands-on guide shows you how to enlarge your processing capabilities across multiple machines with data from any source, ranging from Had oop-based clusters to Excel worksheets. You'll learn how to break down big analysis tasks into manageable chunks and how to choose and use the best PySpark data abstraction for your unique needs. The Spark data processing engine is an amazing analytics factory: raw data comes in,and insight comes out. Thanks to its ability to handle massive amounts of data distributed across a cluster, Spark has been adopted as standard by organizations both big and small. PySpark, which wraps the core Spark engine with a Python-based API, puts Spark-based data pipelines in the hands of programmers and data scientists working with the Python programming language. PySpark simplifies Spark's steep learning curve, and provides a seamless bridge between Spark and an ecosystem of Python-based data science tools.
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Data Analysis with Python and Pyspark
Published by Manning Publications Mär 2022, 2022
ISBN 10: 1617297208 ISBN 13: 9781617297205
Language: English
Taschenbuch. Condition: Neu. Neuware - Data Analysis with Python and PySpark is a carefully engineered tutorial that helps you use PySpark to deliver your data-driven applications at any scale.This clear and hands-on guide shows you how to enlarge your processing capabilities across multiple machines with data from any source, ranging from Had oop-based clusters to Excel worksheets. You'll learn how to break down big analysis tasks into manageable chunks and how to choose and use the best PySpark data abstraction for your unique needs. By the time you're done, you'll be able towrite and run incredibly fast PySpark programs that are scalable, efficient tooperate, and easy to debug.
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Data Analysis with Python and Pyspark
Published by Manning Publications, 2022
ISBN 10: 1617297208 ISBN 13: 9781617297205
Language: English
Taschenbuch. Condition: Neu. Data Analysis with Python and Pyspark | Jonathan Rioux | Taschenbuch | Kartoniert / Broschiert | Englisch | 2022 | Manning Publications | EAN 9781617297205 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
