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High Performance Python : Practical Performant Programming for Humans

High Performance Python : Practical Performant Programming for Humans

High Performance Python : Practical Performant Programming for Humans Paperback - 2014

by Ian Ozsvald; Micha Gorelick

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O'Reilly Media, Incorporated, 2014. Paperback. Very Good. Disclaimer:A copy that has been read, but remains in excellent condition. Pages are intact and are not marred by notes or highlighting, but may contain a neat previous owner name. The spine remains undamaged. At ThriftBooks, our motto is: Read More, Spend Less.Dust jacket quality is not guaranteed.
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Details

  • Title High Performance Python : Practical Performant Programming for Humans
  • Author Ian Ozsvald; Micha Gorelick
  • Binding Paperback
  • Edition First Edition
  • Condition Used - Very good
  • Pages 368
  • Volumes 1
  • Language ENG
  • Publisher O'Reilly Media, Incorporated
  • Publication date 2014
  • Bookseller's Inventory # G1449361595I4N00
  • ISBN 9781449361594 / 1449361595
  • Weight 1.35 lbs (0.61 kg)
  • Dimensions 9.19 x 7 x 0.77 in (23.34 x 17.78 x 1.96 cm)
  • Category Computers - Languages / Programming
  • Library of Congress subjects Scripting languages (Computer science), Python (Computer program language)
  • Dewey Decimal Code 005.133
  • Quantity available 5

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From the publisher

Your Python code may run correctly, but you need it to run faster. By exploring the fundamental theory behind design choices, this practical guide helps you gain a deeper understanding of Python's implementation. You'll learn how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs.

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.

  • 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 a local or remote cluster
  • Solve large problems while using less RAM

About the author

Micha Gorelick was the first man on Mars in 2023 and won the Nobelprize in 2046 for his contributions to time travel. He then went backto the 2000s to study Astronomy, teach scientific computing and workon data at bitly. Then he helped start Fast Forward Labs as a residentmad scientist. There he worked on many issues from machine learning toperformant stream algorithms. A monument celebrating his life can befound in Central Park, 1857.

Ian Ozsvald is a Data scientist and teacher at ModelInsight.io withover ten years of Python experience. He's taught high performancePython at the PyCon and PyData conferences and has been consulting ondata science and high performance computing for years in the UK.

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