Adrian Salceanu - Julia Programming Projects

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Adrian Salceanu has been a professional software developer for over 15 years. For the last 10, he's been leading agile teams in developing real-time, data-intensive web and mobile products. Adrian is a public speaker and an enthusiastic contributor to the open source community, focusing on high-performance web development. He's the organizer of the Barcelona Julia Users group and the creator of Genie, a high-performance, highly productive Julia web framework. Adrian has a Master's degree in computing and a postgraduate degree in advanced computer science.

David Buchaca Prats is a mathematician who focuses his passion toward building more efficient artificial neural networks. The difficulty of implementing efficient models led him to love the Julia programming language, which allows scientists to write concise code for doing so quickly.

Zhuo Qingliang (also known as KDr2 online) is presently working at paodingai.com, a start-up fintech company in China that is dedicated to improving the financial industry by using artificial intelligence technologies. He has over 10 years of experience in Linux, C, C++, Java, Python, and Perl development. He is interested in programming, consulting work, and contributing to the open source community (including, of course, the Julia community).

He maintains a personal website at http://kdr2.com; you can find out more about him there.

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Julia is a new programming language offering a unique combination of performance and productivity that promises to change scientific computing, and programming in general.

Julia picks the best parts of existing programming languages, providing out-of-the-box features such as a powerful REPL, an expressive syntax, Lisp-style metaprogramming capabilities, powerful numeric and scientific programming libraries, a built-in package manager, efficient Unicode support, and easily called C and Python functions.

It has C-like execution speed with excellent applications in multi-core, GPU, and cloud-based computing. Julia Programming Projects explains all this with the support of Julia v1.0.

After six years in development as an open source project, Julia is now ready to take the stage with the release of v1.0.

Data scientists, statisticians, business analysts, and developers who are interested in learning how to use Julia to crunch numbers, analyze data, and build apps will find this book useful. A basic knowledge of programming is assumed.

, Getting Started with Julia Programming , introduces you to the Julia language, covering what it is and what its strengths are. Then, the chapter guides you through setting up a working Julia environment, looking at the various options for running Julia, locally and online. We'll cover installation, REPL, and IDE options, as well as the basics for extending the language through the integrated package manager.