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Product details
File Size: 3394 KB
Print Length: 216 pages
Publisher: Packt Publishing (February 26, 2015)
Publication Date: February 26, 2015
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B00U2MI8OG
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Here's 4 things I liked about the book followed by 2 things I didn't1. 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.
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.
A very informative, well written, book with good material about Julia. It is not for the beginning programmer, a lot is assumed.
Quick read and to the point. Took a couple hours to go through. Amazon, don't require so many words in reviews.
Good book.
What is Julia? Julia is a fairly new programming language (borne in 2012) that aims at reaching two objectives: 1) quick solution prototyping like in MATLAB, R or Python and 2) fast computational time and efficient memory management like in FORTRAN, C or C++. Thus, one could say that Julia tries to bridge the gap between programming languages of two types - high-level but slow and fast but low-level.As such, Julia is a primal competitor to MATLAB, R, and Python. However, competition does not completely exclude collaboration; this is the case for Julia that has packages for calling code written in these and some other languages like Java. Needless to say, Julia is open source and free with a liberal MIT license, which is important for wide adoption. To date, there are 549 external packages that can be found at http://pkg.julialang.org/ .Chapter 1 explains how to install Julia for Windows, Ubuntu and OS X, shows example of work in Julia shell, and lists IDEs like Juno that can be used. Chapter 2 describes Julia's types of variables (numbers, characters, strings, ranges, arrays) that are the key for its performance, while Chapter 3 discusses functions (their definition and types). Control flow operators (if, for, while, break, continue) and exception handling are introduced in Chapter 3. As the extensions of Chapter 2, Chapter 5 talks about matrices (multidimensional arrays), tuples, sets and dictionaries, while Chapter 6 goes into detail of type annotation and conversion, type hierarchy, abstract, parametric, and user-defined types. The concept of metaprogramming (which can even generate code) is explained in Chapter 7. Chapter 8 explores I/O (file reading from and writing to several formats such as CSV, JSON, XML, HDF5, DataFrames for tabular data representation), networking, interacting with databases, and parallel computing. How to call from within Julia the code written in another programming language like C, FORTRAN and Python as well as performance recommendations are explained in Chapter 9. Chapter 10 looks at the standard library of functions and packages and provides guidelines how to use a package manager and visualize data.One may say that everything abovementioned can be found in Julia's documentation, but to have these topics in one place such as this book is certainly a must for new converts and seasonable experts alike.
Julia is excellent language. ^^
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