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Pyspark Cookbook/ (Record no. 94527)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02459nam a2200157Ia 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781788835367 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 004.2 |
| Item number | LEE |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Author name | Lee, Denny |
| 245 #0 - TITLE STATEMENT | |
| Title | Pyspark Cookbook/ |
| Statement of responsibility, etc. | Denny Lee And Tomasz Drabas |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc. | Packt, |
| Date of publication, distribution, etc. | 2018. |
| Place of publication, distribution, etc. | UK: |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 330 pages |
| 500 ## - GENERAL NOTE | |
| General note | Annotation Combine the power of Apache Spark and Python to build effective big data applicationsKey FeaturesPerform effective data processing, machine learning, and analytics using PySparkOvercome challenges in developing and deploying Spark solutions using PythonExplore recipes for efficiently combining Python and Apache Spark to process dataBook DescriptionApache 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. What you will learnConfigure a local instance of PySpark in a virtual environment Install and configure Jupyter in local and multi-node environmentsCreate DataFrames from JSON and a dictionary using pyspark.sqlExplore regression and clustering models available in the ML moduleUse DataFrames to transform data used for modelingConnect to PubNub and perform aggregations on streamsWho 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<br/> |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer Science |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | English Books |
| Koha item type | Home library | Current library | Shelving location | Date acquired | Cost, normal purchase price | Bill Number | Accession Number | Full call number | Withdrawn status | Lost status | Not for loan | Collection |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Reference | Kalaignar Centenary Library Madurai | Kalaignar Centenary Library Madurai | நான்காம் தளம் / Fourth floor | 26/05/2023 | 2299.00 | S009/2023-24 | 252532 | 004.2 LEE | ENGLISH-REFERENCE BOOKS | |||
| English Books | Kalaignar Centenary Library Madurai | Kalaignar Centenary Library Madurai | மூன்றாம் தளம் / Third floor | 26/05/2023 | 2299.00 | S009/2023-24 | 252533 | 004.2 LEE | ENGLISH - LENDING BOOKS | |||
| English Books | Kalaignar Centenary Library Madurai | Kalaignar Centenary Library Madurai | மூன்றாம் தளம் / Third floor | 26/05/2023 | 2299.00 | S009/2023-24 | 252534 | 004.2 LEE | ENGLISH - LENDING BOOKS |