High Performance Python: Practical and 23 similar items
High Performance Python: Practical Performant Programming for Humans,2nd Edition
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Details
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Refunds available: See booth/item description for details
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Payment options
PayPal accepted
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PayPal, MasterCard, Visa, Discover, and American Express accepted
Maestro accepted
Amazon Pay accepted
Nuvei accepted
Item traits
Category: | |
---|---|
Quantity Available: |
3 in stock |
Condition: |
Brand New |
ISBN: |
9781492055020 |
Format: |
Trade Paperback |
Type: |
Textbook |
Language: |
English |
Subject Area: |
Computers |
Publication Name: |
High Performance Python: Practical Performant Programming for Hum |
Author: |
Micha Gorelick/Ian Ozsvald |
Subject: |
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Shipping discount: |
No combined shipping offered |
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Posted for sale: |
More than a week ago |
Item number: |
1715555748 |
Item description
High Performance Python: Practical Performant Programming for Humans,2nd Edition
This product data sheet is originally written in English.
Welcome to Anaira Enterprises
your own Wholesale Books Store:
Product 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 Python's 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 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
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
Deploy code faster using tools like Docker
About the Author
Micha Gorelick cofounded Fast Forward Labs as resident mad scientist. The company was acquired by Cloudera in 2017. She works on many issues from machine learning to performant stream algorithms.
Ian is a chief data scientist and Coach. He co-organizes the annual PyDataLondon 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 of experience as a senior data science leader, trainer and team Coach. For fun he's walked by his high-energy Springer Spaniel, surfs the Cornish coast and drinks fine coffee.
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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 Python's implementation. Ian is a chief data scientist and Coach. He co-organizes the annual PyDataLondon 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 of experience as a senior data science leader, trainer and team Coach. For fun he's walked by his high-
Type
Textbook
Format
Trade Paperback
Subject Area
Computers
Language
English
Publication Name
High Performance Python: Practical Performant Programming for Hum
Author
Micha Gorelick
Author
Ian Ozsvald
Subject
Programming / Algorithms
Subject
Programming / Open Source
Subject
Programming Languages / Python
ISBN
9781492055020
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