Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Sebastopol, CA
O'Reilly Media
2023
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781098118792/?ar |
| Zusammenfassung: | Serverless computing enables developers to concentrate solely on their applications rather than worry about where they've been deployed. With the Ray general-purpose serverless implementation in Python, programmers and data scientists can hide servers, implement stateful applications, support direct communication between tasks, and access hardware accelerators. In this book, experienced software architecture practitioners Holden Karau and Boris Lublinsky show you how to scale existing Python applications and pipelines, allowing you to stay in the Python ecosystem while reducing single points of failure and manual scheduling. Scaling Python with Ray is ideal for software architects and developers eager to explore successful case studies and learn more about decision and measurement effectiveness. If your data processing or server application has grown beyond what a single computer can handle, this book is for you. You'll explore distributed processing (the pure Python implementation of serverless) and learn how to: Implement stateful applications with Ray actors Build workflow management in Ray Use Ray as a unified system for batch and stream processing Apply advanced data processing with Ray Build microservices with Ray Implement reliable Ray applications. |
| Umfang: | 1 online resource |
| ISBN: | 1098118774 9781098118778 |
Internformat
MARC
| LEADER | 00000cam a22000002c 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-076597962 | ||
| 003 | DE-627-1 | ||
| 005 | 20240228121850.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 220209s2023 xx |||||o 00| ||eng c | ||
| 020 | |a 1098118774 |c electronic book |9 1-0981-1877-4 | ||
| 020 | |a 9781098118778 |c electronic bk. |9 978-1-0981-1877-8 | ||
| 035 | |a (DE-627-1)076597962 | ||
| 035 | |a (DE-599)KEP076597962 | ||
| 035 | |a (ORHE)9781098118792 | ||
| 035 | |a (DE-627-1)076597962 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 082 | 0 | |a 005.13/3 |2 23/eng/20221206 | |
| 100 | 1 | |a Karau, Holden |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a Scaling Python with Ray |b adventures in Cloud and serverless patterns |c Holden Karau & Boris Lublinsky |
| 264 | 1 | |a Sebastopol, CA |b O'Reilly Media |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 | ||
| 520 | |a Serverless computing enables developers to concentrate solely on their applications rather than worry about where they've been deployed. With the Ray general-purpose serverless implementation in Python, programmers and data scientists can hide servers, implement stateful applications, support direct communication between tasks, and access hardware accelerators. In this book, experienced software architecture practitioners Holden Karau and Boris Lublinsky show you how to scale existing Python applications and pipelines, allowing you to stay in the Python ecosystem while reducing single points of failure and manual scheduling. Scaling Python with Ray is ideal for software architects and developers eager to explore successful case studies and learn more about decision and measurement effectiveness. If your data processing or server application has grown beyond what a single computer can handle, this book is for you. You'll explore distributed processing (the pure Python implementation of serverless) and learn how to: Implement stateful applications with Ray actors Build workflow management in Ray Use Ray as a unified system for batch and stream processing Apply advanced data processing with Ray Build microservices with Ray Implement reliable Ray applications. | ||
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 0 | |a Cloud computing | |
| 650 | 4 | |a Python (Langage de programmation) | |
| 650 | 4 | |a Infonuagique | |
| 650 | 4 | |a Cloud computing | |
| 650 | 4 | |a Python (Computer program language) | |
| 700 | 1 | |a Lublinsky, Boris |e VerfasserIn |4 aut | |
| 776 | 1 | |z 1098118804 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 1098118804 |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781098118792/?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-076597962 |
|---|---|
| _version_ | 1833357031933739008 |
| adam_text | |
| any_adam_object | |
| author | Karau, Holden Lublinsky, Boris |
| author_facet | Karau, Holden Lublinsky, Boris |
| author_role | aut aut |
| author_sort | Karau, Holden |
| author_variant | h k hk b l bl |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)076597962 (DE-599)KEP076597962 (ORHE)9781098118792 |
| dewey-full | 005.13/3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.13/3 |
| dewey-search | 005.13/3 |
| dewey-sort | 15.13 13 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02799cam a22004452c 4500</leader><controlfield tag="001">ZDB-30-ORH-076597962</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228121850.0</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">1098118774</subfield><subfield code="c">electronic book</subfield><subfield code="9">1-0981-1877-4</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781098118778</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-1-0981-1877-8</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)076597962</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP076597962</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781098118792</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)076597962</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">005.13/3</subfield><subfield code="2">23/eng/20221206</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Karau, Holden</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Scaling Python with Ray</subfield><subfield code="b">adventures in Cloud and serverless patterns</subfield><subfield code="c">Holden Karau & Boris Lublinsky</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Sebastopol, CA</subfield><subfield code="b">O'Reilly Media</subfield><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="520" ind1=" " ind2=" "><subfield code="a">Serverless computing enables developers to concentrate solely on their applications rather than worry about where they've been deployed. With the Ray general-purpose serverless implementation in Python, programmers and data scientists can hide servers, implement stateful applications, support direct communication between tasks, and access hardware accelerators. In this book, experienced software architecture practitioners Holden Karau and Boris Lublinsky show you how to scale existing Python applications and pipelines, allowing you to stay in the Python ecosystem while reducing single points of failure and manual scheduling. Scaling Python with Ray is ideal for software architects and developers eager to explore successful case studies and learn more about decision and measurement effectiveness. If your data processing or server application has grown beyond what a single computer can handle, this book is for you. You'll explore distributed processing (the pure Python implementation of serverless) and learn how to: Implement stateful applications with Ray actors Build workflow management in Ray Use Ray as a unified system for batch and stream processing Apply advanced data processing with Ray Build microservices with Ray Implement reliable Ray applications.</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">Cloud computing</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">Infonuagique</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Cloud computing</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">Lublinsky, Boris</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="776" ind1="1" ind2=" "><subfield code="z">1098118804</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">1098118804</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781098118792/?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-076597962 |
| illustrated | Not Illustrated |
| indexdate | 2025-05-28T09:45:14Z |
| institution | BVB |
| isbn | 1098118774 9781098118778 |
| 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 TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | O'Reilly Media |
| record_format | marc |
| spelling | Karau, Holden VerfasserIn aut Scaling Python with Ray adventures in Cloud and serverless patterns Holden Karau & Boris Lublinsky Sebastopol, CA O'Reilly Media 2023 1 online resource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Serverless computing enables developers to concentrate solely on their applications rather than worry about where they've been deployed. With the Ray general-purpose serverless implementation in Python, programmers and data scientists can hide servers, implement stateful applications, support direct communication between tasks, and access hardware accelerators. In this book, experienced software architecture practitioners Holden Karau and Boris Lublinsky show you how to scale existing Python applications and pipelines, allowing you to stay in the Python ecosystem while reducing single points of failure and manual scheduling. Scaling Python with Ray is ideal for software architects and developers eager to explore successful case studies and learn more about decision and measurement effectiveness. If your data processing or server application has grown beyond what a single computer can handle, this book is for you. You'll explore distributed processing (the pure Python implementation of serverless) and learn how to: Implement stateful applications with Ray actors Build workflow management in Ray Use Ray as a unified system for batch and stream processing Apply advanced data processing with Ray Build microservices with Ray Implement reliable Ray applications. Python (Computer program language) Cloud computing Python (Langage de programmation) Infonuagique Lublinsky, Boris VerfasserIn aut 1098118804 Erscheint auch als Druck-Ausgabe 1098118804 |
| spellingShingle | Karau, Holden Lublinsky, Boris Scaling Python with Ray adventures in Cloud and serverless patterns Python (Computer program language) Cloud computing Python (Langage de programmation) Infonuagique |
| title | Scaling Python with Ray adventures in Cloud and serverless patterns |
| title_auth | Scaling Python with Ray adventures in Cloud and serverless patterns |
| title_exact_search | Scaling Python with Ray adventures in Cloud and serverless patterns |
| title_full | Scaling Python with Ray adventures in Cloud and serverless patterns Holden Karau & Boris Lublinsky |
| title_fullStr | Scaling Python with Ray adventures in Cloud and serverless patterns Holden Karau & Boris Lublinsky |
| title_full_unstemmed | Scaling Python with Ray adventures in Cloud and serverless patterns Holden Karau & Boris Lublinsky |
| title_short | Scaling Python with Ray |
| title_sort | scaling python with ray adventures in cloud and serverless patterns |
| title_sub | adventures in Cloud and serverless patterns |
| topic | Python (Computer program language) Cloud computing Python (Langage de programmation) Infonuagique |
| topic_facet | Python (Computer program language) Cloud computing Python (Langage de programmation) Infonuagique |
| work_keys_str_mv | AT karauholden scalingpythonwithrayadventuresincloudandserverlesspatterns AT lublinskyboris scalingpythonwithrayadventuresincloudandserverlesspatterns |