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Julia 1.0 Programming Cookbook

You're reading from   Julia 1.0 Programming Cookbook Over 100 numerical and distributed computing recipes for your daily data science work?ow

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781788998369
Length 460 pages
Edition 1st Edition
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Authors (2):
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Przemysław Szufel Przemysław Szufel
Author Profile Icon Przemysław Szufel
Przemysław Szufel
Bogumił Kamiński Bogumił Kamiński
Author Profile Icon Bogumił Kamiński
Bogumił Kamiński
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Table of Contents (12) Chapters Close

Preface 1. Installing and Setting Up Julia 2. Data Structures and Algorithms FREE CHAPTER 3. Data Engineering in Julia 4. Numerical Computing with Julia 5. Variables, Types, and Functions 6. Metaprogramming and Advanced Typing 7. Handling Analytical Data 8. Julia Workflow 9. Data Science 10. Distributed Computing 11. Other Books You May Enjoy

Introduction


The goal of this chapter is to show how to use Julia for typical data science tasks.

We start by explaining how to use Julia with various types of relational databases and the full-text search engine Elasticearch. Next, we show how to construct optimization models in Julia. In addition to this, we discuss estimating models with the maximum likelihood function. Finally, we move on to complex plotting and machine learning models.

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