Leseprobe

Amazon iTunes Thalia.de Weltbild.de Hugendubel Bücher.de ebook.de kobo Osiander Google Books Barnes&Noble bol.com Legimi yourbook.shop Kulturkaufhaus ebooks-center.de
* Affiliatelinks/Werbelinks

Leseprobe

Julia 1.0 Programming Cookbook

Name: Julia 1.0 Programming Cookbook
Author: Przemyslaw Szufel, Bogumil Kaminski

Over 100 numerical and distributed computing recipes for your daily data science workflow

Przemyslaw Szufel, Bogumil Kaminski

EPUB

ca. 40,81 €

Amazon iTunes Thalia.de Weltbild.de Hugendubel Bücher.de ebook.de kobo Osiander Google Books Barnes&Noble bol.com Legimi yourbook.shop Kulturkaufhaus ebooks-center.de
* Affiliatelinks/Werbelinks

Packt Publishing

Naturwissenschaften, Medizin, Informatik, Technik / Informatik, EDV

Beschreibung

Discover the new features and widely used packages in Julia to solve complex computational problems in your statistical applications.

Key Features

Address the core problems of programming in Julia with the most popular packages for common tasks

Tackle issues while working with Databases and Parallel data processing with Julia

Explore advanced features such as metaprogramming, functional programming, and user defined types

Book Description

Julia, with its dynamic nature and high-performance, provides comparatively minimal time for the development of computational models with easy-to-maintain computational code. This book will be your solution-based guide as it will take you through different programming aspects with Julia.

Starting with the new features of Julia 1.0, each recipe addresses a specific problem, providing a solution and explaining how it works. You will work with the powerful Julia tools and data structures along with the most popular Julia packages. You will learn to create vectors, handle variables, and work with functions. You will be introduced to various recipes for numerical computing, distributed computing, and achieving high performance. You will see how to optimize data science programs with parallel computing and memory allocation. We will look into more advanced concepts such as metaprogramming and functional programming. Finally, you will learn how to tackle issues while working with databases and data processing, and will learn about on data science problems, data modeling, data analysis, data manipulation, parallel processing, and cloud computing with Julia.

By the end of the book, you will have acquired the skills to work more effectively with your data

What you will learn

Boost your code's performance using Julia's unique features

Organize data in to fundamental types of collections: arrays and dictionaries

Organize data science processes within Julia and solve related problems

Scale Julia computations with cloud computing

Write data to IO streams with Julia and handle web transfer

Define your own immutable and mutable types

Speed up the development process using metaprogramming

Who this book is for

This book is for developers who would like to enhance their Julia programming skills and would like to get some quick solutions to their common programming problems. Basic Julia programming knowledge is assumed.

Weitere Titel in dieser Kategorie