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Julia: High Performance Programming. Build powerful and fast systems with Julia

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Julia: High Performance Programming. Build powerful and fast systems with Julia Ivo Balbaert, M E Sherrington, Avik Sengupta - okladka książki

Julia: High Performance Programming. Build powerful and fast systems with Julia Ivo Balbaert, M E Sherrington, Avik Sengupta - okladka książki

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In this learning path, you will learn to use an interesting and dynamic programming language—Julia! You will get a chance to tackle your numerical and data problems with Julia. You’ll begin the journey by setting up a running Julia platform before exploring its various built-in types. We’ll then move on to the various functions and constructs in Julia. We’ll walk through the two important collection types—arrays and matrices in Julia.
You will dive into how Julia uses type information to achieve its performance goals, and how to use multiple dispatch to help the compiler emit high performance machine code. You will see how Julia’s design makes code fast, and you’ll see its distributed computing capabilities.
By the end of this learning path, you will see how data works using simple statistics and analytics, and you’ll discover its high and dynamic performance—its real strength, which makes it particularly useful in highly intensive computing tasks.

This learning path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:
? Getting Started with Julia by Ivo Balvaert
? Julia High Performance by Avik Sengupta
? Mastering Julia by Malcolm Sherrington

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O autorach książki

Ivo Balbaert is a lecturer in web programming and databases at CVO Antwerpen, a community college in Belgium. He received a PhD 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 project manager at the University Hospital of Antwerp. From 2000 onwards, he switched to partly teaching and partly developing software (at KHM Mechelen, CVO Antwerpen). He also wrote an introductory book in Dutch about developing in Ruby and Rails, Programmeren met Ruby en Rails, published by Van Duuren Media. In 2012, he authored a book on the Go programming language, The Way to Go, published by iUniverse. He has written a number of introductory books for new programming languages, notably Dart, Julia, Rust, and Red, all published by Packt.
Dr Malcolm Sherrington has been working in computing for over 35 years. He holds degrees in Mathematics, Chemistry and Engineering and has lectured at two separate universities in the UK as well as working in the Aerospace and Healthcare Industries. Currently he is running his own company working in the Finance sector, with specific interests in High Performance Computing and applications of GPUs and parallelism.
Always hands-on, Malcolm started programming scientific problems in Fortran and C, progressing thorough Ada and Common Lisp and recently became involved with data processing and analytics in Perl, Python and R.
Malcolm is the organizer of the London Julia User Group, as well as a co-organizer of the UK - High Performance Computing and the Financial Engineers and Quants London meetup groups.
Acknowledgements
I would like to dedicate this in memory of my late wife Hazel Sherrington without whose encouragement and support my involvement in Julia would not have got started but who is no longer here to see the culmination of her vision.
Also I wish to give special thanks to Barbara Dor and James Weymes for both their substantive help and material assistance in the preparation of this book.
Avik Sengupta is the Vice President of engineering at Julia Computing, contributor to open source Julia and maintainer of several Julia packages. Avik is the co-founder of two startups in the financial services and AI sectors and creator of large complex trading systems for the world's leading investment banks. Prior to Julia Computing, Avik was co-founder and CTO at AlgoCircle and at Itellix, director at Lab49 and head of algorithmic solutions at Decimal Point Analytics. Avik earned his MS in Computational Finance at Carnegie Mellon and MBA Finance at the Indian Institute of Management in Bangalore.

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