Fast Python : high performance techniques for large datasets /

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 si...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Antao, Tiago (Author)
Format: Electronic eBook
Language:Inglés
Published: Shelter Island, NY : Manning Publications, [2023]
Subjects:
Python (Computer program language)
Electronic data processing.
Python (Langage de programmation)
Electronic data processing
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of 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.

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