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High Performance Python

  • Couverture cartonnée
  • 368 Nombre de pages
If you're an experienced Python programmer, High Performance Python will guide you through the various routes of code optimization... Lire la suite
CHF 54.50
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If you're an experienced Python programmer, High Performance Python will guide you through the various routes of code optimization. You'll learn how to use smarter algorithms and leverage peripheral technologies, such as numpy, cython, cpython, and various multi-threaded and multi-node strategies. There's a lack of good learning and reference material available if you want to learn Python for highly computational tasks. Because of it, fields from physics to biology and systems infrastructure to data science are hitting barriers. They need the fast prototyping nature of Python, but too few people know how to wield it. This book will put you ahead of the curve.


Micha Gorelick was the first man on Mars in 2023 and won the nobel prize in 2046 for his contributions to time travel. In a moment of rage after seeing the deplorable uses of his new technology, he traveled back in time to 2012 and convinced himself to leave his Physics PhD program and follow his love of data at Bitly. A monument celebrating his life can be found in Central Park, 1857. Andy Terrel received his PhD in computer science at the University of Chicago in 2010 and is currently a staff researcher at the Texas Advance Computing Center at the Univerisity of Texas at Austin. His major emphasis of research has been on the automation of numerical methods on high performance computing resources. To this end, he has provided numerous contributions to a wide variety of open source projects, including the popular FEniCS project and SymPy.

By exploring the fundamental theory behind design choices, this practical guide helps you gain a deeper understanding of Python's implementation. You'll learn how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs

Détails sur le produit

Titre: High Performance Python
Sous-titre: Practical Performant Programming for Humans
Code EAN: 9781449361594
ISBN: 1449361595
Format: Couverture cartonnée
Genre: Langages de programmation
nombre de pages: 368
Poids: 643g
Taille: H231mm x B179mm x T22mm
Année: 2014
Pays: US