Julia's standard library is rich. It is vast and offers lots of functions that can ease the daily work of a programmer/data scientists. Along with a very good support for almost all the functionalities provided by other modern day programming languages, it has a great in-built support for mathematical and statistical functions.
This section will briefly describe the standard Julia library along with some examples to make things easier for you. As per the official documentation given on the Julia website https://docs.julialang.org/en/release-0.6/#Standard-Library-1, the standard library can be distributed in the following subheadings:
- Essentials
- Collections and data structures
- Mathematics
- Numbers
- Strings
- Arrays
- Tasks and parallel computing
- Linear algebra
- Constants
- Filesystem
- I/O and network
- Punctuation
- Sorting and related functions
- Package manager functions...
