Saved in:
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Electronic eBook |
Language: | English |
Published: |
Sebastopol, CA
O'Reilly Media, Inc.
[2025]
|
Edition: | Third edition. |
Subjects: | |
Links: | https://learning.oreilly.com/library/view/-/9781098165956/?ar |
Summary: | Your Python code may run correctly, but what if you need it to run faster? This practical book shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By explaining the fundamental theory behind design choices, this expanded edition of High Performance Python helps experienced Python programmers gain a deeper understanding of Python's implementation. How do you take advantage of multicore architectures or compilation? Or build a system that scales up beyond RAM limits or with a GPU? Authors Micha Gorelick and Ian Ozsvald reveal concrete solutions to many issues and include war stories from companies that use high-performance Python for GenAI data extraction, productionized machine learning, and more. Get a better grasp of NumPy, Cython, and profilers Learn how Python abstracts the underlying computer architecture Use profiling to find bottlenecks in CPU time and memory usage Write efficient programs by choosing appropriate data structures Speed up matrix and vector computations Process DataFrames quickly with Pandas, Dask, and Polars Speed up your neural networks and GPU computations Use tools to compile Python down to machine code Manage multiple I/O and computational operations concurrently Convert multiprocessing code to run on local or remote clusters. |
Item Description: | Includes index. - Online resource; title from title details screen (O'Reilly, viewed May 6, 2025) |
Physical Description: | 1 Online-Ressource (524 pages) |
Staff View
MARC
LEADER | 00000nam a22000002c 4500 | ||
---|---|---|---|
001 | ZDB-30-ORH-115929738 | ||
003 | DE-627-1 | ||
005 | 20250603131602.0 | ||
007 | cr uuu---uuuuu | ||
008 | 250603s2025 xx |||||o 00| ||eng c | ||
035 | |a (DE-627-1)115929738 | ||
035 | |a (DE-599)KEP115929738 | ||
035 | |a (ORHE)9781098165956 | ||
035 | |a (DE-627-1)115929738 | ||
040 | |a DE-627 |b ger |c DE-627 |e rda | ||
041 | |a eng | ||
082 | 0 | |a 005.13/3 |2 23/eng/20250506 | |
100 | 1 | |a Gorelick, Micha |e VerfasserIn |4 aut | |
245 | 1 | 0 | |a High performance Python |c Micha Gorelick and Ian Ozsvald ; foreword by Hilary Mason |
250 | |a Third edition. | ||
264 | 1 | |a Sebastopol, CA |b O'Reilly Media, Inc. |c [2025] | |
300 | |a 1 Online-Ressource (524 pages) | ||
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Includes index. - Online resource; title from title details screen (O'Reilly, viewed May 6, 2025) | ||
520 | |a Your Python code may run correctly, but what if you need it to run faster? This practical book shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By explaining the fundamental theory behind design choices, this expanded edition of High Performance Python helps experienced Python programmers gain a deeper understanding of Python's implementation. How do you take advantage of multicore architectures or compilation? Or build a system that scales up beyond RAM limits or with a GPU? Authors Micha Gorelick and Ian Ozsvald reveal concrete solutions to many issues and include war stories from companies that use high-performance Python for GenAI data extraction, productionized machine learning, and more. Get a better grasp of NumPy, Cython, and profilers Learn how Python abstracts the underlying computer architecture Use profiling to find bottlenecks in CPU time and memory usage Write efficient programs by choosing appropriate data structures Speed up matrix and vector computations Process DataFrames quickly with Pandas, Dask, and Polars Speed up your neural networks and GPU computations Use tools to compile Python down to machine code Manage multiple I/O and computational operations concurrently Convert multiprocessing code to run on local or remote clusters. | ||
650 | 0 | |a Python (Computer program language) | |
650 | 0 | |a Computer programming | |
650 | 4 | |a Python (Langage de programmation) | |
650 | 4 | |a Programmation (Informatique) | |
650 | 4 | |a computer programming | |
700 | 1 | |a Ozsvald, Ian |e VerfasserIn |4 aut | |
700 | 1 | |a Mason, Hilary |e MitwirkendeR |4 ctb | |
966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781098165956/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
912 | |a ZDB-30-ORH | ||
951 | |a BO | ||
912 | |a ZDB-30-ORH | ||
049 | |a DE-91 |
Record in the Search Index
DE-BY-TUM_katkey | ZDB-30-ORH-115929738 |
---|---|
_version_ | 1835903236096131072 |
adam_text | |
any_adam_object | |
author | Gorelick, Micha Ozsvald, Ian |
author2 | Mason, Hilary |
author2_role | ctb |
author2_variant | h m hm |
author_facet | Gorelick, Micha Ozsvald, Ian Mason, Hilary |
author_role | aut aut |
author_sort | Gorelick, Micha |
author_variant | m g mg i o io |
building | Verbundindex |
bvnumber | localTUM |
collection | ZDB-30-ORH |
ctrlnum | (DE-627-1)115929738 (DE-599)KEP115929738 (ORHE)9781098165956 |
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 |
edition | Third edition. |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02788nam a22004092c 4500</leader><controlfield tag="001">ZDB-30-ORH-115929738</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20250603131602.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">250603s2025 xx |||||o 00| ||eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)115929738</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP115929738</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781098165956</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)115929738</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/20250506</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Gorelick, Micha</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">High performance Python</subfield><subfield code="c">Micha Gorelick and Ian Ozsvald ; foreword by Hilary Mason</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">Third edition.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Sebastopol, CA</subfield><subfield code="b">O'Reilly Media, Inc.</subfield><subfield code="c">[2025]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (524 pages)</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">Includes index. - Online resource; title from title details screen (O'Reilly, viewed May 6, 2025)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Your Python code may run correctly, but what if you need it to run faster? This practical book shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By explaining the fundamental theory behind design choices, this expanded edition of High Performance Python helps experienced Python programmers gain a deeper understanding of Python's implementation. How do you take advantage of multicore architectures or compilation? Or build a system that scales up beyond RAM limits or with a GPU? Authors Micha Gorelick and Ian Ozsvald reveal concrete solutions to many issues and include war stories from companies that use high-performance Python for GenAI data extraction, productionized machine learning, and more. Get a better grasp of NumPy, Cython, and profilers Learn how Python abstracts the underlying computer architecture Use profiling to find bottlenecks in CPU time and memory usage Write efficient programs by choosing appropriate data structures Speed up matrix and vector computations Process DataFrames quickly with Pandas, Dask, and Polars Speed up your neural networks and GPU computations Use tools to compile Python down to machine code Manage multiple I/O and computational operations concurrently Convert multiprocessing code to run on local or remote clusters.</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">Computer programming</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">Programmation (Informatique)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">computer programming</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ozsvald, Ian</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mason, Hilary</subfield><subfield code="e">MitwirkendeR</subfield><subfield code="4">ctb</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/-/9781098165956/?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="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-115929738 |
illustrated | Not Illustrated |
indexdate | 2025-06-25T12:16:03Z |
institution | BVB |
language | English |
open_access_boolean | |
owner | DE-91 DE-BY-TUM |
owner_facet | DE-91 DE-BY-TUM |
physical | 1 Online-Ressource (524 pages) |
psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
publishDate | 2025 |
publishDateSearch | 2025 |
publishDateSort | 2025 |
publisher | O'Reilly Media, Inc. |
record_format | marc |
spelling | Gorelick, Micha VerfasserIn aut High performance Python Micha Gorelick and Ian Ozsvald ; foreword by Hilary Mason Third edition. Sebastopol, CA O'Reilly Media, Inc. [2025] 1 Online-Ressource (524 pages) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes index. - Online resource; title from title details screen (O'Reilly, viewed May 6, 2025) Your Python code may run correctly, but what if you need it to run faster? This practical book shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By explaining the fundamental theory behind design choices, this expanded edition of High Performance Python helps experienced Python programmers gain a deeper understanding of Python's implementation. How do you take advantage of multicore architectures or compilation? Or build a system that scales up beyond RAM limits or with a GPU? Authors Micha Gorelick and Ian Ozsvald reveal concrete solutions to many issues and include war stories from companies that use high-performance Python for GenAI data extraction, productionized machine learning, and more. Get a better grasp of NumPy, Cython, and profilers Learn how Python abstracts the underlying computer architecture Use profiling to find bottlenecks in CPU time and memory usage Write efficient programs by choosing appropriate data structures Speed up matrix and vector computations Process DataFrames quickly with Pandas, Dask, and Polars Speed up your neural networks and GPU computations Use tools to compile Python down to machine code Manage multiple I/O and computational operations concurrently Convert multiprocessing code to run on local or remote clusters. Python (Computer program language) Computer programming Python (Langage de programmation) Programmation (Informatique) computer programming Ozsvald, Ian VerfasserIn aut Mason, Hilary MitwirkendeR ctb |
spellingShingle | Gorelick, Micha Ozsvald, Ian High performance Python Python (Computer program language) Computer programming Python (Langage de programmation) Programmation (Informatique) computer programming |
title | High performance Python |
title_auth | High performance Python |
title_exact_search | High performance Python |
title_full | High performance Python Micha Gorelick and Ian Ozsvald ; foreword by Hilary Mason |
title_fullStr | High performance Python Micha Gorelick and Ian Ozsvald ; foreword by Hilary Mason |
title_full_unstemmed | High performance Python Micha Gorelick and Ian Ozsvald ; foreword by Hilary Mason |
title_short | High performance Python |
title_sort | high performance python |
topic | Python (Computer program language) Computer programming Python (Langage de programmation) Programmation (Informatique) computer programming |
topic_facet | Python (Computer program language) Computer programming Python (Langage de programmation) Programmation (Informatique) computer programming |
work_keys_str_mv | AT gorelickmicha highperformancepython AT ozsvaldian highperformancepython AT masonhilary highperformancepython |