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Product details
File Size: 5999 KB
Print Length: 412 pages
Publisher: Packt Publishing (July 22, 2015)
Publication Date: July 22, 2015
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B010T266RY
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The definitive work on Julia and its capabilities.
It's more of run through of different packages and applications that you can use Julia for. It's a good start for such a young language.
Nice introduction. Doesn't answer the basic question, though, of why to use Julia when there are so many other good options out there.
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.
Julia is growing fast among scientist and slowly getting closer to Python for scientific computing. Its syntax, speed and powerful type system allow for fast and very readable code. The downside is that one has to change paradigm and the way to think about the code, and here is where this book could be very useful, giving a nice panoramic of the language and showing how to restyle your code
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.
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