This book, subtitled "High performance techniques for large datasets" sets out Python techniques and libraries to reduce run times, efficiently handle huge datasets, and optimize execution for complex machine learning applications.  Tiago Antao looks at ways of optimizing every part of the Python-based data analysis process, from the pure Python code you write to managing the resources of modern hardware and GPUs.

<ASIN: 1617297933>

Readers will learn to rewrite inefficient data structures, improve underperforming code with multithreading, and simplify your datasets without sacrificing accuracy. Written for experienced practitioners, this book dives right into practical solutions for improving computation and storage efficiency.

Author: Tiago Antao
Publisher: Manning
Date: May 2023
Pages: 304
ISBN: 978-1617297939
Print: 1617297933
Kindle: B0C3N4H919
Audience: Data scientists using Python
Level: Intermediate/Advanced
Category: Data Science

• 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

For recommendations of data mining books see Reading Your Way Into Big Data in our Programmer's Bookshelf section

For recommendations of Python books see Books for Pythonistas and Python Books For Beginners in our Programmer's Bookshelf section.

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