The standard library is written in Julia and is comprised of a very broad range of functionalities: from regular expressions, working with dates and times, a package manager, internationalization and Unicode, linear algebra, complex numbers, specialized mathematical functions, statistics, I/O and networking, Fast Fourier Transformations (FFT), and parallel computing, to macros, and reflection. Julia provides a firm and broad foundation for numerical computing and data science (for example, much of what NumPy has to offer is provided). Despite being targeted at numerical computing and data science, Julia aims to be a general-purpose programming language.
The source code of the standard library can be found in the share\julia\base and share\julia\stdlib subfolders of Julia's root installation folder. Coding in Julia leads almost...
