Learning Julia: Build high-performance applications for scientific computing - Couverture souple

Joshi, Anshul; Lakhanpal, Rahul

Couverture souple

ISBN 10 : 1785883275 ISBN 13 : 9781785883279

Editeur : Packt Publishing, 2017

Synopsis

This book allows existing programmers, statisticians, and data scientists to learn and take advantage of Julia while building applications with complex numerical and scientific computations. A basic knowledge of mathematics is required to understand the various methods that will be used or created in the book and exploit Julia's capabilities.

A propos du livre

À propos des auteurs

Anshul Joshi is a data scientist with experience in recommendation systems, predictive modeling, neural networks, and high performance computing. His research interests encompass deep learning, artificial intelligence, and computational physics. Most of the time, he can be caught exploring GitHub or trying anything new he can get his hands on. You can also follow his personal blog.

Rahul Lakhanpal is a technology and open source enthusiast. With diversified skills including systems engineering, web development, the cloud, and big data, he is language-agnostic and a firm believer in using the best tools and the right language for a particular job. Rahul is an active contributor to various community portals and loves to solve challenging real-world problems in his leisure time. He is active on Twitter and writes blogs as well.

Détails de l'édition

• Éditeur: Packt Publishing
• Date d'édition: 2017
• Langue: anglais
• ISBN 10: 1785883275
• ISBN 13: 9781785883279
• Reliure: Broché
• Nombre de pages: 316
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible