Learning Ray flexible distributed Python for machine learning

Get started with Ray, the open source distributed computing framework that simplifies the process of scaling compute-intensive Python workloads. With this practical book, Python programmers, data engineers, and data scientists will learn how to leverage Ray locally and spin up compute clusters. You&...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Pumperla, Max (VerfasserIn), Oakes, Edward (VerfasserIn), Liaw, Richard (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Sebastopol, California O'Reilly Media, Inc. 2023
Ausgabe:Frist edtion.
Schlagworte:
Online-Zugang:lizenzpflichtig
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!

MARC

LEADER 00000cam a22000002 4500
001 ZDB-30-ORH-076596877
003 DE-627-1
005 20240228121922.0
007 cr uuu---uuuuu
008 220209s2023 xx |||||o 00| ||eng c
020 |a 9781098117191  |c electronic book  |9 978-1-0981-1719-1 
020 |a 1098117190  |c electronic book  |9 1-0981-1719-0 
035 |a (DE-627-1)076596877 
035 |a (DE-599)KEP076596877 
035 |a (ORHE)9781098117214 
035 |a (DE-627-1)076596877 
040 |a DE-627  |b ger  |c DE-627  |e rda 
041 |a eng 
082 0 |a 005.3  |2 23/eng/20230221 
100 1 |a Pumperla, Max  |e VerfasserIn  |4 aut 
245 1 0 |a Learning Ray  |b flexible distributed Python for machine learning  |c Max Pumperla, Edward Oakes & Richard Liaw 
250 |a Frist edtion. 
264 1 |a Sebastopol, California  |b O'Reilly Media, Inc.  |c 2023 
264 4 |c ©2023 
300 |a 1 online resource 
336 |a Text  |b txt  |2 rdacontent 
337 |a Computermedien  |b c  |2 rdamedia 
338 |a Online-Ressource  |b cr  |2 rdacarrier 
500 |a Description based on online resource; title from digital title page (viewed on April 04, 2023) 
520 |a Get started with Ray, the open source distributed computing framework that simplifies the process of scaling compute-intensive Python workloads. With this practical book, Python programmers, data engineers, and data scientists will learn how to leverage Ray locally and spin up compute clusters. You'll be able to use Ray to structure and run machine learning programs at scale. 
650 0 |a Application program interfaces (Computer software) 
650 0 |a Machine learning 
650 0 |a Python (Computer program language) 
650 0 |a Artificial intelligence 
650 0 |a Electronic data processing  |x Distributed processing 
650 4 |a Interfaces de programmation d'applications 
650 4 |a Apprentissage automatique 
650 4 |a Python (Langage de programmation) 
650 4 |a Intelligence artificielle 
650 4 |a Traitement réparti 
650 4 |a APIs (interfaces) 
650 4 |a artificial intelligence 
650 4 |a Application program interfaces (Computer software) 
650 4 |a Artificial intelligence 
650 4 |a Electronic data processing ; Distributed processing 
650 4 |a Machine learning 
650 4 |a Python (Computer program language) 
700 1 |a Oakes, Edward  |e VerfasserIn  |4 aut 
700 1 |a Liaw, Richard  |e VerfasserIn  |4 aut 
776 1 |z 1098117220 
776 0 8 |i Erscheint auch als  |n Druck-Ausgabe  |z 1098117220 
856 4 0 |l TUM01  |p ZDB-30-ORH  |q TUM_PDA_ORH  |u https://learning.oreilly.com/library/view/-/9781098117214/?ar  |m X:ORHE  |x Aggregator  |z lizenzpflichtig  |3 Volltext 
912 |a ZDB-30-ORH 
912 |a ZDB-30-ORH 
951 |a BO 
912 |a ZDB-30-ORH 
049 |a DE-91 

Datensatz im Suchindex

DE-BY-TUM_katkey ZDB-30-ORH-076596877
_version_ 1818767256827461632
adam_text
any_adam_object
author Pumperla, Max
Oakes, Edward
Liaw, Richard
author_facet Pumperla, Max
Oakes, Edward
Liaw, Richard
author_role aut
aut
aut
author_sort Pumperla, Max
author_variant m p mp
e o eo
r l rl
building Verbundindex
bvnumber localTUM
collection ZDB-30-ORH
ctrlnum (DE-627-1)076596877
(DE-599)KEP076596877
(ORHE)9781098117214
dewey-full 005.3
dewey-hundreds 000 - Computer science, information, general works
dewey-ones 005 - Computer programming, programs, data, security
dewey-raw 005.3
dewey-search 005.3
dewey-sort 15.3
dewey-tens 000 - Computer science, information, general works
discipline Informatik
edition Frist edtion.
format Electronic
eBook
fullrecord <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02703cam a22006252 4500</leader><controlfield tag="001">ZDB-30-ORH-076596877</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228121922.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220209s2023 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781098117191</subfield><subfield code="c">electronic book</subfield><subfield code="9">978-1-0981-1719-1</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1098117190</subfield><subfield code="c">electronic book</subfield><subfield code="9">1-0981-1719-0</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)076596877</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP076596877</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781098117214</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)076596877</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">005.3</subfield><subfield code="2">23/eng/20230221</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Pumperla, Max</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Learning Ray</subfield><subfield code="b">flexible distributed Python for machine learning</subfield><subfield code="c">Max Pumperla, Edward Oakes &amp; Richard Liaw</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">Frist edtion.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Sebastopol, California</subfield><subfield code="b">O'Reilly Media, Inc.</subfield><subfield code="c">2023</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2023</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Description based on online resource; title from digital title page (viewed on April 04, 2023)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Get started with Ray, the open source distributed computing framework that simplifies the process of scaling compute-intensive Python workloads. With this practical book, Python programmers, data engineers, and data scientists will learn how to leverage Ray locally and spin up compute clusters. You'll be able to use Ray to structure and run machine learning programs at scale.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Application program interfaces (Computer software)</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Machine learning</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Python (Computer program language)</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Electronic data processing</subfield><subfield code="x">Distributed processing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Interfaces de programmation d'applications</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Apprentissage automatique</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Python (Langage de programmation)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Intelligence artificielle</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Traitement réparti</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">APIs (interfaces)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Application program interfaces (Computer software)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Electronic data processing ; Distributed processing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Python (Computer program language)</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Oakes, Edward</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Liaw, Richard</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="776" ind1="1" ind2=" "><subfield code="z">1098117220</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">1098117220</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="l">TUM01</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781098117214/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection>
id ZDB-30-ORH-076596877
illustrated Not Illustrated
indexdate 2024-12-18T08:47:00Z
institution BVB
isbn 9781098117191
1098117190
language English
open_access_boolean
owner DE-91
DE-BY-TUM
owner_facet DE-91
DE-BY-TUM
physical 1 online resource
psigel ZDB-30-ORH
publishDate 2023
publishDateSearch 2023
publishDateSort 2023
publisher O'Reilly Media, Inc.
record_format marc
spelling Pumperla, Max VerfasserIn aut
Learning Ray flexible distributed Python for machine learning Max Pumperla, Edward Oakes & Richard Liaw
Frist edtion.
Sebastopol, California O'Reilly Media, Inc. 2023
©2023
1 online resource
Text txt rdacontent
Computermedien c rdamedia
Online-Ressource cr rdacarrier
Description based on online resource; title from digital title page (viewed on April 04, 2023)
Get started with Ray, the open source distributed computing framework that simplifies the process of scaling compute-intensive Python workloads. With this practical book, Python programmers, data engineers, and data scientists will learn how to leverage Ray locally and spin up compute clusters. You'll be able to use Ray to structure and run machine learning programs at scale.
Application program interfaces (Computer software)
Machine learning
Python (Computer program language)
Artificial intelligence
Electronic data processing Distributed processing
Interfaces de programmation d'applications
Apprentissage automatique
Python (Langage de programmation)
Intelligence artificielle
Traitement réparti
APIs (interfaces)
artificial intelligence
Electronic data processing ; Distributed processing
Oakes, Edward VerfasserIn aut
Liaw, Richard VerfasserIn aut
1098117220
Erscheint auch als Druck-Ausgabe 1098117220
TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/9781098117214/?ar X:ORHE Aggregator lizenzpflichtig Volltext
spellingShingle Pumperla, Max
Oakes, Edward
Liaw, Richard
Learning Ray flexible distributed Python for machine learning
Application program interfaces (Computer software)
Machine learning
Python (Computer program language)
Artificial intelligence
Electronic data processing Distributed processing
Interfaces de programmation d'applications
Apprentissage automatique
Python (Langage de programmation)
Intelligence artificielle
Traitement réparti
APIs (interfaces)
artificial intelligence
Electronic data processing ; Distributed processing
title Learning Ray flexible distributed Python for machine learning
title_auth Learning Ray flexible distributed Python for machine learning
title_exact_search Learning Ray flexible distributed Python for machine learning
title_full Learning Ray flexible distributed Python for machine learning Max Pumperla, Edward Oakes & Richard Liaw
title_fullStr Learning Ray flexible distributed Python for machine learning Max Pumperla, Edward Oakes & Richard Liaw
title_full_unstemmed Learning Ray flexible distributed Python for machine learning Max Pumperla, Edward Oakes & Richard Liaw
title_short Learning Ray
title_sort learning ray flexible distributed python for machine learning
title_sub flexible distributed Python for machine learning
topic Application program interfaces (Computer software)
Machine learning
Python (Computer program language)
Artificial intelligence
Electronic data processing Distributed processing
Interfaces de programmation d'applications
Apprentissage automatique
Python (Langage de programmation)
Intelligence artificielle
Traitement réparti
APIs (interfaces)
artificial intelligence
Electronic data processing ; Distributed processing
topic_facet Application program interfaces (Computer software)
Machine learning
Python (Computer program language)
Artificial intelligence
Electronic data processing Distributed processing
Interfaces de programmation d'applications
Apprentissage automatique
Python (Langage de programmation)
Intelligence artificielle
Traitement réparti
APIs (interfaces)
artificial intelligence
Electronic data processing ; Distributed processing
url https://learning.oreilly.com/library/view/-/9781098117214/?ar
work_keys_str_mv AT pumperlamax learningrayflexibledistributedpythonformachinelearning
AT oakesedward learningrayflexibledistributedpythonformachinelearning
AT liawrichard learningrayflexibledistributedpythonformachinelearning