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Julia is a well-constructed programming language with fast execution speed, eliminating the classic problem of performing analysis in one language and translating it for performance into a second. This book will help you develop and enhance your programming skills in Julia to solve real-world automation challenges. This book starts off with a refresher on installing and running Julia on different platforms. Next, you will compare the different ways of working with Julia and explore Julia's key features in-depth by looking at design and build. You will see how data works using simple statistics and analytics, and discover Julia's speed, its real strength, which makes it particularly useful in highly intensive computing tasks and observe how Julia can cooperate with external processes in order to enhance graphics and data visualization. Finally, you will look into meta-programming and learn how it adds great power to the language and establish networking and distributed computing with Julia.

What you will learn

Install and build Julia and configure it with your environment Build a data science project through the entire cycle of ETL, analytics, and data visualization Understand the type system and principles of multiple dispatch for a better coding experience in Julia Interact with data files and data frames to study simple statistics and analytics Display graphics and visualizations to carry out modeling and simulation in Julia Use Julia to interact with SQL and NoSQL databases Work with distributed systems on the Web and in the cloud Develop your own packages and contribute to the Julia Community

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Getting started with Julia Programming Language

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Amazon verified reviews

James Jul 01, 2020

Came recommended from a friend, the book helped allot with my studies. I can highly recommend this book to anyone who wants to learn or is learning about Julia.

Amazon Verified review

Amazon Customer Dec 11, 2016

The definitive work on Julia and its capabilities.

Alessandro Piovaccari Sep 24, 2015

I have been using many programming languages over the years, and I find Julia efficient and fascinating. Julia combines the power and versatility of Python and it's extension, with the simplicity of Matlab. This, like many other PACKT books, is very well written and quite useful if are seriously thinking about using Julia for your scientific computing.

Jan Galkowski Dec 06, 2015

Nice introduction. Doesn't answer the basic question, though, of why to use Julia when there are so many other good options out there.

Amazon Customer Nov 10, 2017

I thought this was a very good book because I find the Julia documentation lacking. The Julia language can do so many things and the author tried to explore them all, but this was also why it got 4 stars and not 5. It is entitled Mastering Julia, but when I finished I didn't feel like I had mastered Julia. I did have a much better understanding of Julia, though, and for that I thank the author. I have been a professional programmer since the 1980s and worked with at least a dozen different languages. I really like the Julia language, it's portability, and it's ease of use especially when doing the parallel programming aspects. I ask the author to look at the book pairings like: Java in a Nutshell and Java Examples in a Nutshell. Programmers learn by example when moving to another language. I think more fledged out examples would be helpful.

Mastering Julia: Develop your analytical and programming skills further in Julia to solve complex data processing problems

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