Fast Python : high performance techniques for large datasets / Tiago Antao.

Format:

Book

Author/Creator:

Antao, Tiago, author.

Language:

English

Subjects (All):

Python (Computer program language).

Electronic data processing.

Physical Description:

1 online resource (xviii, 283 pages) : illustrations

Place of Publication:

Shelter Island, NY : Manning Publications, [2023]

Summary:

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.

Contents:

An urgent need for efficiency in data processing

Extracting maximum performance from built-in features

Concurrency, parallelism, and asynchronous processing

High-performance NumPy

Re-implementing critical code with Cython

Memory hierarchy, storage, and networking

High-performance pandas and Apache arrow

Storing big data

Data analysis using GPU computing

Analyzing big data with Dask.

Notes:

Includes index.

Description based on print version record.

ISBN:

9781638356868

1638356866

OCLC:

1383660035