Fast Python: High performance techniques for large datasets (Audiobook)

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
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.
Written for experienced practitioners, this book dives right into practical solutions for improving computation and storage efficiency. You'll experiment with fun and interesting examples such as rewriting games in Cython and implementing a MapReduce framework from scratch. Finally, you'll go deep into Python GPU computing and learn how modern hardware has rehabilitated some former antipatterns and made counterintuitive ideas the most efficient way of working.