Lauwens B., Downey A.B. Think Julia: How to Think Like a Computer Scientist

O’Reilly Media, 2019. — 660 p. — ISBN N\A.Julia was originally released in 2012 by Alan Edelman, Stefan Karpinski, Jeff Bezanson, and Viral Shah. It is a free and open-source programming language. Choosing a programming language is always subjective. For me, the following characteristics of Julia are decisive: Julia is developed as a high-performance programming language. Julia uses multiple dispatch, which allows the programmer to choose from different programming patterns adapted to the application. Julia is a dynamically typed language that caneasily be used interactively. Julia has a nice high-level syntax that is easy to learn. Julia is an optionally typed programming language whose (user-defined) data types make the code clearer and more robust. Julia has an extended standard library and numerous third-party packages are available. Julia is a unique programming language because it solves the so-called “two languages problem.” No other programming language is needed to write high-performance code. This does not mean it happens automatically. It is the responsibility of the programmer to optimize the code that forms a bottleneck, but this can done in Julia itself.