Statements (60)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software
|
| gptkbp:bfsLayer |
4
|
| gptkbp:bfsParent |
gptkb:Julia_Language
|
| gptkbp:can_be_extended_by |
user-defined functions
|
| gptkbp:contains |
data types
|
| gptkbp:enables |
metaprogramming capabilities
custom data structures |
| gptkbp:facilitates |
interoperability with C and Fortran
|
| https://www.w3.org/2000/01/rdf-schema#label |
Base.jl
|
| gptkbp:includes |
gptkb:benchmark
file handling capabilities standard library functions date and time functions random number generation functions I/ O functions collections and arrays |
| gptkbp:is_available_on |
gptkb:archive
MIT License |
| gptkbp:is_compatible_with |
gptkb:Jupyter_notebooks
Windows, mac OS, and Linux other Julia packages |
| gptkbp:is_designed_for |
high-performance computing
|
| gptkbp:is_documented_in |
official Julia documentation
|
| gptkbp:is_essential_for |
simulation tasks
algorithm development in Julia data manipulation in Julia |
| gptkbp:is_maintained_by |
open-source contributors
Julia Lang community |
| gptkbp:is_part_of |
gptkb:Julia_ecosystem
Julia's core libraries Julia's standard library |
| gptkbp:is_used_by |
data scientists
|
| gptkbp:is_used_for |
machine learning applications
signal processing optimization problems numerical analysis building Julia applications |
| gptkbp:is_used_in |
gptkb:academic_research
financial modeling |
| gptkbp:is_utilized_in |
image processing
scientific computing bioinformatics |
| gptkbp:offers |
performance optimization tools
|
| gptkbp:provides |
gptkb:Footballer
matrix operations debugging tools error handling mechanisms networking capabilities string manipulation functions graphical user interface support core functionality for Julia programming language |
| gptkbp:supports |
gptkb:Cloud_Computing_Service
data visualization parallel computing unit testing web development multiple dispatch type annotations data frame operations |
| gptkbp:written_in |
gptkb:Julia_programming_language
|