Chapman and Hall/CRC, 2019. — 220 p. — ISBN: 9781138499980. Julia, an open-source programming language, was created to be as easy to use as languages such as R and Python while also as fast as C and Fortran. An accessible, intuitive, and highly efficient base language with speed that exceeds R and Python, makes Julia a formidable language for data science. Using well known data...
Packt Publishing, 2020. — 521 p. — ISBN: 978-1-83864-881-7. Design and develop high-performance, reusable, and maintainable applications using traditional and modern Julia patterns with this comprehensive guide Design patterns are fundamental techniques for developing reusable and maintainable code. They provide a set of proven solutions that allow developers to solve problems...
Manning Publications, 2023. — 402 p. — ISBN: 978-1617299711. Learn Julia programming by building fun projects, like launching rockets, building password keepers, and even coding battle simulations. Julia as a Second Language covers: Data types like numbers, strings, arrays, and dictionaries. Immediate feedback with Julia’s read-evaluate-print-loop (REPL). Simplify code...
Apress, 2019. — 216 p. — ISBN13: 978-1-4842-5189-8. This quick Julia programming language guide is a condensed code and syntax reference to the Julia 1.x programming language, updated with the latest features of the Julia APIs, libraries, and packages. It presents the essential Julia syntax in a well-organized format that can be used as a handy reference. This book provides an...
Apress, 2017. — 359 p. — ISBN: 978-1-4842-3170-8. Get started with Julia for engineering and numerical computing, especially data science, machine learning, and scientific computing applications. This book explains how Julia provides the functionality, ease-of-use and intuitive syntax of R, Python, MatLAB, SAS, or Stata combined with the speed, capacity, and performance of C,...
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