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Mastering Python High Performance

You're reading from   Mastering Python High Performance Learn how to optimize your code and Python performance with this vital guide to Python performance profiling and benchmarking

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Product type Paperback
Published in Sep 2015
Publisher
ISBN-13 9781783989300
Length 260 pages
Edition 1st Edition
Languages
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Author (1):
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Fernando Donglio Fernando Donglio
Author Profile Icon Fernando Donglio
Fernando Donglio
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Toc

Index

A

  • Anaconda Python distribution
    • URL / Installing pandas
  • appDirs
    • URL / Installing Parakeet

B

  • Big O notation
    • about / Running time complexity

C

  • code optimization
    • about / How to choose the right option
    • with Cython / When to go with Cython
    • with PyPy / When to go with PyPy
  • Compute Unified Device Architecture (CUDA)
    • from Nvidia, URL / Multithreading
  • configuration, Numba
    • No GIL / No GIL
    • NoPython mode / NoPython mode
  • constant time - O(1)
    • about / Constant time – O(1)
  • cProfile
    • URL / Getting to know our new best friends: the profilers
    • about / Getting to know our new best friends: the profilers, cProfile
    • example / cProfile
    • limitations / A note about limitations
    • API / The API provided
    • methods, using / The API provided
    • Stats class / The Stats class
    • Fibonacci example / Fibonacci again
    • Tweet stats example / Tweet stats
  • cStringIO
    • using / Consider using cStringIO to concatenate strings...
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