High Performance Python

Practical Performant Programming for Humans

Nonfiction, Computers, Programming, Programming Languages
Cover of the book High Performance Python by Micha Gorelick, Ian Ozsvald, O'Reilly Media
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Author: Micha Gorelick, Ian Ozsvald ISBN: 9781449361761
Publisher: O'Reilly Media Publication: August 22, 2014
Imprint: O'Reilly Media Language: English
Author: Micha Gorelick, Ian Ozsvald
ISBN: 9781449361761
Publisher: O'Reilly Media
Publication: August 22, 2014
Imprint: O'Reilly Media
Language: English

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
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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