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High Performance Python: Practical performant programming for humans (Record no. 2436)

MARC details
000 -LEADER
fixed length control field 01596nam a22002177a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200224131343.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200117b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-93-5213-305-5
028 ## - PUBLISHER NUMBER
Source Allied Informatics, Jaipur
Bill Number 7084
Bill Date 13/01/2020
Purchase Year 2019-20
040 ## - CATALOGING SOURCE
Original cataloging agency BSDU
Language of cataloging English
Transcribing agency BSDU
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.133
Item number GOR
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Gorelick, Micha
245 ## - TITLE STATEMENT
Title High Performance Python: Practical performant programming for humans
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Mumbai
Name of publisher, distributor, etc. Shroff Publishers & Distributors Pvt. Ltd.
Date of publication, distribution, etc. 2019
300 ## - PHYSICAL DESCRIPTION
Extent 351
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note enecks and significantly speed up your code in high-data-volume programs.<br/><br/>How can you take advantage of multi-core architectures or clusters? Or build a system that can scale up and down without losing reliability? Experienced Python programmers will learn concrete solutions to these and other issues, along with war stories from companies that use high performance Python for social media analytics, productionized machine learning, and other situations.<br/><br/>Get a better grasp of numpy, Cython, and profilers<br/>Learn how Python abstracts the underlying computer architecture<br/>Use profiling to find bottlenecks in CPU time and memory usage<br/>Write efficient programs by choosing appropriate data structures<br/>Speed up matrix and vector computations<br/>Use tools to compile Python down to machine code<br/>Manage multiple I/O and computational operations concurrently<br/>Convert multiprocessing code to run on a local or remote cluster<br/>Solve large problems while using less RAM<br/>
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Python
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Ozsvald, Lan
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Date last checked out Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     BSDU Knowledge Resource Center, Jaipur BSDU Knowledge Resource Center, Jaipur General Stacks 01/17/2020 900.00 4 005.133 GOR 017995 04/30/2024 02/02/2024 900.00 01/17/2020 Books