English | Size: 8.88 MB
Genre: eLearning
Overview
Master Python techniques and libraries to reduce run times, efficiently handle huge datasets, and optimize execution for complex machine learning applications.
Fast Python is a toolbox of techniques for high performance Python including:
Writing efficient pure-Python code
Optimizing the NumPy and pandas libraries
Rewriting critical code in Cython
Designing persistent data structures
Tailoring code for different architectures
Implementing Python GPU computing
About the Book
Fast Python is your guide to optimizing every part of your Python-based data analysis process, from the pure Python code you write to managing the resources of modern hardware and GPUs. You’ll learn to rewrite inefficient data structures, improve underperforming code with multithreading, and simplify your datasets without sacrificing accuracy.
About the Technology
Face it. Slow code will kill a big data project. Fast pure-Python code, optimized libraries, and fully utilized multiprocessor hardware are the price of entry for machine learning and large-scale data analysis. What you need are reliable solutions that respond faster to computing requirements while using less resources, and saving money.
What’s Inside
Rewriting critical code in Cython
Designing persistent data structures
Tailoring code for different architectures
Implementing Python GPU computing
About the Reader
For intermediate Python programmers familiar with the basics of concurrency.
About the Author
Tiago Antao is one of the co-authors of Biopython, a major bioinformatics package written in Python.
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