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Hands-On Julia Programming

An Authoritative Guide to the Production-Ready Systems in Julia (English Edition)

Viac o knihe

Build production-ready machine learning and NLP systems using functional programming, development platforms, and cloud deployment. This book provides an in-depth explanation and code samples that highlight the features of the Julia language, covering the Julia development ecosystem, package management, DevOps environment integration, and performance management tools. The Julia programming language enables data scientists and programmers to create prototypes without sacrificing performance. This book offers a comprehensive look at the language's application in developing and deploying production-ready applications. It teaches experienced programmers and scientists about Julia's features in detail, while also providing hands-on experience with the development environment, debugging, programming guidelines, package management, and cloud deployment strategies. Readers will explore a variety of third-party packages available in the Julia ecosystem for data processing, text analytics, and deep learning. This extensive overview assists programmers, scientists, and information architects in selecting Julia for their production deployments.

Nákup knihy

Hands-On Julia Programming, Sambit Kumar Dash

Jazyk
Rok vydania
2021
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Titul
Hands-On Julia Programming
Podtitul
An Authoritative Guide to the Production-Ready Systems in Julia (English Edition)
Jazyk
anglicky
Rok vydania
2021
Väzba
mäkká
Počet strán
413
ISBN10
9391030882
ISBN13
9789391030889
Série
Anotácia
Build production-ready machine learning and NLP systems using functional programming, development platforms, and cloud deployment. This book provides an in-depth explanation and code samples that highlight the features of the Julia language, covering the Julia development ecosystem, package management, DevOps environment integration, and performance management tools. The Julia programming language enables data scientists and programmers to create prototypes without sacrificing performance. This book offers a comprehensive look at the language's application in developing and deploying production-ready applications. It teaches experienced programmers and scientists about Julia's features in detail, while also providing hands-on experience with the development environment, debugging, programming guidelines, package management, and cloud deployment strategies. Readers will explore a variety of third-party packages available in the Julia ecosystem for data processing, text analytics, and deep learning. This extensive overview assists programmers, scientists, and information architects in selecting Julia for their production deployments.