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Python high performance programming: boost the performance of your Python programs using advanced techniques

✍ Scribed by Gabriele Lanaro

Publisher
Packt Publishing
Year
2017
Tongue
English
Edition
2nd Edition
Category
Library
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✦ Synopsis

Learn how to use Python to create efficient applications

About This Book

  • Identify the bottlenecks in your applications and solve them using the best profiling techniques
  • Write efficient numerical code in NumPy, Cython, and Pandas
  • Adapt your programs to run on multiple processors and machines with parallel programming

    Who This Book Is For

    The book is aimed at Python developers who want to improve the performance of their application. Basic knowledge of Python is expected

    What You Will Learn

  • Write efficient numerical code with the NumPy and Pandas libraries
  • Use Cython and Numba to achieve native performance
  • Find bottlenecks in your Python code using profilers
  • Write asynchronous code using Asyncio and RxPy
  • Use Tensorflow and Theano for automatic parallelism in Python
  • Set up and run distributed algorithms on a cluster using Dask and PySpark

    In Detail

    Python is a versatile language that has found...

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