Description: FREE SHIPPING UK WIDE High Performance Python by Micha Gorelick, Ian Ozsvald Updated for Python 3, this expanded edition shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By exploring the fundamental theory behind design choices, High Performance Python helps you gain a deeper understanding of Pythons implementation. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description Your Python code may run correctly, but you need it to run faster. Updated for Python 3, this expanded edition shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By exploring the fundamental theory behind design choices, High Performance Python helps you gain a deeper understanding of Pythons implementation.How do you take advantage of multicore architectures or clusters? Or build a system that scales up and down without losing reliability? Experienced Python programmers will learn concrete solutions to many issues, along with war stories from companies that use high-performance Python for social media analytics, productionized machine learning, and more.Get a better grasp of NumPy, Cython, and profilersLearn how Python abstracts the underlying computer architectureUse profiling to find bottlenecks in CPU time and memory usageWrite efficient programs by choosing appropriate data structuresSpeed up matrix and vector computationsUse tools to compile Python down to machine codeManage multiple I/O and computational operations concurrentlyConvert multiprocessing code to run on local or remote clustersDeploy code faster using tools like Docker Author Biography Ian is a chief data scientist and coach. He co-organizes the annualPyDataLondon conference with 700+ attendees and the associated 10,000+ member monthly meetup. He runs the established Mor Consulting Data Science consultancy in London and gives conference talks internationally, often as keynote speaker. He has 17 years ofexperience as a senior data science leader, trainer and team coach.For fun hes walked by his high-energy Springer Spaniel, surfs theCornish coast and drinks fine coffee. Past talks and articles can befound at: / Details ISBN1492055026 Author Ian Ozsvald Year 2020 ISBN-10 1492055026 ISBN-13 9781492055020 Short Title High Performance Python Language English Edition 2nd Format Paperback Subtitle Practical Performant Programming for Humans DEWEY 005.133 Publication Date 2020-05-07 Pages 468 UK Release Date 2020-05-07 Place of Publication Sebastopol Country of Publication United States AU Release Date 2020-05-07 NZ Release Date 2020-05-07 US Release Date 2020-05-07 Imprint OReilly Media Edited by Douglas D. Rhoads Birth 1962 Affiliation Director, Centre for Urban Design and Mental Health, Position Director Qualifications MD Publisher OReilly Media Edition Description 2nd edition Audience General We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! 30 DAY RETURN POLICY No questions asked, 30 day returns! FREE DELIVERY No matter where you are in the UK, delivery is free. SECURE PAYMENT Peace of mind by paying through PayPal and eBay Buyer Protection TheNile_Item_ID:128993566;
Price: 40.99 GBP
Location: London
End Time: 2024-11-21T08:47:31.000Z
Shipping Cost: 10.1 GBP
Product Images
Item Specifics
Return postage will be paid by: Buyer
Returns Accepted: Returns Accepted
After receiving the item, your buyer should cancel the purchase within: 30 days
Return policy details:
ISBN-13: 9781492055020
Book Title: High Performance Python
Item Height: 231 mm
Item Width: 175 mm
Author: Micha Gorelick, Ian Ozsvald
Publication Name: High Performance Python: Practical Performant Programming for Humans
Format: Paperback
Language: English
Publisher: O'reilly Media, INC International Concepts USA
Subject: Computer Science
Publication Year: 2020
Type: Textbook
Item Weight: 1002 g
Number of Pages: 468 Pages