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Getting started with Julia Programming Language, by Ivo Balbaert
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Enter the exciting world of Julia, a high-performance language for technical computing
About This Book- Work with Julia in a multi-core, distributed, and networked environment
- Learn the techniques to create blazingly fast programs with Julia
- The book walks you through various practical examples to get to grips with Julia
This book is for you if you are a data scientist or working on any technical or scientific computation projects. The book assumes you have a basic working knowledge of high-level dynamic languages such as MATLAB, R, Python, or Ruby.
What You Will Learn- Set up your Julia environment to achieve the highest productivity
- Solve your tasks in a high-level dynamic language and use types for your data only when needed
- Create your own types to extend the built-in type system
- Visualize your data in IJulia with plotting packages
- Explore the use of built-in macros for testing, debugging, benchmarking, and more
- Apply Julia to tackle problems concurrently and in a distributed environment
- Integrate with other languages such as C, Python, and MATLAB
Julia is a new open source programming language that is used in the field of data science computing. It was created to solve the dilemma between high-level slow code and fast but low-level code, and the necessity to use both to achieve high performance. This book will give you a head start to tackle your numerical and data problems with Julia. Your journey will begin by learning how to set up a running Julia platform before exploring its various built-in types. You will then move on to cover the different functions and constructs in Julia. The book will then walk you through the two important collection types―arrays and matrices. Over the course of the book, you will also be introduced to homoiconicity, the meta-programming concept in Julia.
Towards the concluding part of the book, you will also learn how to run external programs. This book will cover all you need to know about Julia to leverage its high speed and efficiency.
- Sales Rank: #645729 in Books
- Published on: 2015-02-27
- Released on: 2015-02-26
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .49" w x 7.50" l, .83 pounds
- Binding: Paperback
- 159 pages
About the Author
Ivo Balbaert
Ivo Balbaert is currently a lecturer in (web) programming and databases at CVO Antwerpen (www.cvoantwerpen.be), a community college in Belgium. He received a PhD degree in applied physics from the University of Antwerp in 1986. He worked for 20 years in the software industry as a developer and consultant in several companies, and for 10 years as a project manager at the University Hospital of Antwerp. From 2000 onward, he switched to partly teaching and developing software (KHM Mechelen, CVO Antwerp). He also wrote an introductory book in Dutch about developing in Ruby and Rails, Programmeren met Ruby en Rails, Van Duuren Media. In 2012, he authored a book on the Go programming language, The Way To Go, iUniverse. In 2013, in collaboration with Dzenan Ridzanovic, he authored Learning Dart and Dart Cookbook, both by Packt Publishing.
Most helpful customer reviews
15 of 16 people found the following review helpful.
A Nice First Step
By MSE fanatic
When I learned about the Julia language I was thrilled that there is a community which wants to marry the simplicity and joy of coding in Python/R/Matlab with the power and speed of C/Fortran. This book is a rapid introduction into the basic structure, syntax, and building blocks of the Julia language. The book goes over data/collection types, functions, control flow, metaprogramming, and parallel programming in a first delievery approach. There also are comments and a few pages which provide programming tips on how to ensure top performance of your Julia code.
My main criticism of this book is you won't find detailed examples highlighting what makes Julia superior, which is its multiple dispatch and use of LLVM-JIT compiler. There are also no examples related to technical computing (e.g. numerical algorithms) which I think is necessary to convince traditional user of Python/Matlab and C/Fortran to adapt Julia as part of their toolbox. Overall this is a nice quick introduction to a very promising language and is worth reading if you prefer not to start with the Julia manual.
4 of 4 people found the following review helpful.
Great Intro to Julia
By Jason Enochs
Here's 4 things I liked about the book followed by 2 things I didn't
1. The author’s name looks foreign so I was concerned the book may suffer from a poor translation and/or bad grammar. That was not the case. The grammar was on par for a technical book and there weren’t many typos.
2. The topics were presented in a logical order. When the author was forced to mention a topic that had yet to be covered, he referenced the upcoming chapter where it would be covered. This ensures the reader isn’t just left scratching their head.
3. The author used Julia-v0.3 but would mention where he thought something would change in Julia-v0.4. When explaining slices be states that v0.3 provided a copy (by default) instead of a view of the original matrix but v0.4 would return views instead of copies. I tested this with versions v0.3.9 and v0.4.5 and I saw no difference in the default behavior. The author's comment spurred me to read the documentation and eventually I found the explanation (on their wiki). Spoiler, it didn't change in v0.4. The note in the book may have been incorrect but notes like that are very helpful when the language is still under development. Some comments about future releases are going to be wrong because development can change course over night.
4. Each time I referenced the index, I found what I was looking for.
------- 2 Things I didn't like -----------
1. So what's one reason not to buy this book or any other Julia book? The language is still under development. This book was published in 2015. I'm reading it in April 2016 and as I work through the examples I'm getting a LOT of deprecated syntax warnings (v0.4.6-pre) and as I pointed out above, some things the author said would be implemented in v.0,4, were not. If you go to the Julia website and click on Docs, you will see a well written and easy to read manual that's up-to-date (of course). You will notice the chapters of the online manual are similar to the ones in this, and other, books. The online documentation has all the information and it's kept up-to-date. Until Julia 1.0 is released, you probably won't do any better than reading the online Julia manual and searching their wiki for answers to your questions. The author used v0.3. I used the latest stable v0.4.6-pre to work the book's examples. At the time I wrote this review, the current version is v0.5.0.
2. A couple places (for example the dictionary example section) give a lot of deprecated code warnings as you try the examples. Then several pages later, grouped in one small paragraph, the author lists examples of syntax, that's already been used extensively in the examples, that would be deprecated in v0.4 along with the new syntax. That information is NOT useful when tucked into a small paragraph several pages after you could have used it. That information should have been included in notes alongside the applicable examples earlier in the chapter.
1 of 1 people found the following review helpful.
Quick read
By Dirk Harms-Merbtiz
Quick read and to the point. Took a couple hours to go through. Amazon, don't require so many words in reviews.
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