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Data Processing with Optimus: Supercharge big data preparation tasks for analytics and machine learning with Optimus using Dask and PySpark (Paperback or Softback)
Language: English
Published by Packt Publishing 9/3/2021, 2021
ISBN 10: 1801079560 ISBN 13: 9781801079563
Paperback or Softback. Condition: New. Data Processing with Optimus: Supercharge big data preparation tasks for analytics and machine learning with Optimus using Dask and PySpark. Book.
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Condition: As New. Unread book in perfect condition.
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Data Processing with Optimus: Supercharge big data preparation tasks for analytics and machine learning with Optimus using Dask and PySpark
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 35.30
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Data Processing with Optimus: Supercharge big data preparation tasks for analytics and machine learning with Optimus using Dask and PySpark
Language: English
Published by Packt Publishing 2021-09-03, 2021
ISBN 10: 1801079560 ISBN 13: 9781801079563
Paperback. Condition: New.
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Data Processing with Optimus: Supercharge big data preparation tasks for analytics and machine learning with Optimus using Dask and PySpark
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Data Processing with Optimus: Supercharge big data preparation tasks for analytics and machine learning with Optimus using Dask 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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Síntesis y Caracterización de Alúmina-a vía Sol-Gel
Language: Spanish
Published by Editorial Académica Española, 2012
ISBN 10: 3659015768 ISBN 13: 9783659015762
Condition: New.
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Condition: New. Data Processing with Optimus helps you learn how to load, clean, and transform data easily with Optimus. This book is a step-by-step guide for preparing data to perform key data science tasks such as machine learning, analytics, feature engineering, and rep.
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Data Processing with Optimus
Language: English
Published by Packt Publishing Limited, 2021
ISBN 10: 1801079560 ISBN 13: 9781801079563
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
£ 36.05
£ 3.29 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Data Processing with Optimus
Language: English
Published by Packt Publishing Limited, 2021
ISBN 10: 1801079560 ISBN 13: 9781801079563
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Data Processing with Optimus: Leverage PySpark to perform big data preparation tasks for machine learning and analytics at scale
Language: English
Published by Packt Publishing Limited, 2021
ISBN 10: 1801079560 ISBN 13: 9781801079563
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 41.01
£ 11.75 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Written by the core Optimus team, this comprehensive guide will help you to understand how Optimus improves the whole data processing landscape Key Features:Load, merge, and save small and big data efficiently with Optimus Learn Optimus functions for data analytics, feature engineering, machine learning, cross-validation, and NLP Discover how Optimus improves other data frame technologies and helps you speed up your data processing tasks Book Description: Optimus is a Python library that works as a unified API for data cleaning, processing, and merging data. It can be used for handling small and big data on your local laptop or on remote clusters using CPUs or GPUs. The book begins by covering the internals of Optimus and how it works in tandem with the existing technologies to serve your data processing needs. You'll then learn how to use Optimus for loading and saving data from text data formats such as CSV and JSON files, exploring binary files such as Excel, and for columnar data processing with Parquet, Avro, and OCR. Next, you'll get to grips with the profiler and its data types - a unique feature of Optimus Dataframe that assists with data quality. You'll see how to use the plots available in Optimus such as histogram, frequency charts, and scatter and box plots, and understand how Optimus lets you connect to libraries such as Plotly and Altair. You'll also delve into advanced applications such as feature engineering, machine learning, cross-validation, and natural language processing functions and explore the advancements in Optimus. Finally, you'll learn how to create data cleaning and transformation functions and add a hypothetical new data processing engine with Optimus. By the end of this book, you'll be able to improve your data science workflow with Optimus easily. What You Will Learn:Use over 100 data processing functions over columns and other string-like values Reshape and pivot data to get the output in the required format Find out how to plot histograms, frequency charts, scatter plots, box plots, and more Connect Optimus with popular Python visualization libraries such as Plotly and Altair Apply string clustering techniques to normalize strings Discover functions to explore, fix, and remove poor quality data Use advanced techniques to remove outliers from your data Add engines and custom functions to clean, process, and merge data Who this book is for: This book is for Python developers who want to explore, transform, and prepare big data for machine learning, analytics, and reporting using Optimus, a unified API to work with Pandas, Dask, cuDF, Dask-cuDF, Vaex, and Spark. Although not necessary, beginner-level knowledge of Python will be helpful. Basic knowledge of the CLI is required to install Optimus and its requirements. For using GPU technologies, you'll need an NVIDIA graphics card compatible with NVIDIA's RAPIDS library, which is compatible with Windows 10 and Linux.
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Taschenbuch. Condition: Neu. Data Processing with Optimus | Supercharge big data preparation tasks for analytics and machine learning with Optimus using Dask and PySpark | Argenis Leon (u. a.) | Taschenbuch | Englisch | 2021 | Packt Publishing | EAN 9781801079563 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
