Fast Python

• Verfasst von: Antao, Tiago [VerfasserIn]
• Titel: Fast Python
• Titelzusatz: high performance techniques for large datasets
• Verf.angabe: Tiago Rodrigues Antão
• Verlagsort: Shelter Island, NY
• Verlag: Manning Publications
• E-Jahr: 2023
• Jahr: [2023]
• Umfang: 1 online resource (xviii, 283 pages)
• Illustrationen: illustrations
• Fussnoten: Includes index
• ISBN: 978-1-61729-793-9
• ISBN: 1-61729-793-3
• Datenträger: Online-Ressource
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe: Rodrigues Antão, Tiago: Fast Python. - Shelter Island, NY : Manning, 2023. - xviii, 283 Seiten
• Sach-SW: Python (Langage de programmation)
• Sach-SW: Electronic data processing
• Sach-SW: Python (Computer program language)
• K10plus-PPN: 1850982716
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4343637840
• Lokale URL Inst.: Zum Volltext

Abstract

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.