In Functions in Julia may have multiple implementations, known as methods. When using string-interpolation within the docstring you will need to use an extra Sometimes the appropriate documentation for an instance of a type depends on the field values of that instance, rather than just on the type itself.
It should end with a period.
Plotting software makes trade-offs between features and simplicity, speed and beauty, and a static and dynamic interface. You can add Flux from using Julia's package manager, by typing ] add Flux in the Julia prompt. Plots is a visualization interface and toolset. Rich Ecosystem for Scientific Computing . If the meaning of a function cannot be summarized easily, splitting it into separate composable parts could be beneficial (this should not be taken as an absolute requirement for every single case though).Since the function name is given by the signature, there is no need to start the documentation with "The function Only provide an argument list when really necessary.For simple functions, it is often clearer to mention the role of the arguments directly in the description of the function's purpose. The doctest will fail if you misalign the output of pretty-printing an array, for example.To indicate that the output result is truncated, you may write Examples that are untestable should be written within fenced code blocks starting with Julia identifiers and code excerpts should always appear between backticks This makes it clearer where docstrings start and end.Respect the line length limit used in the surrounding code.Docstrings are edited using the same tools as code. This model is a good fit for mathematical programming, where it is unnatural for the first argument to "own" an operation as in traditional object-oriented dispatch. Flux works well with Julia libraries from data frames and images to differential equation solvers, so you can easily build complex data processing pipelines that integrate Flux models. Fortunately, there are services that can help navigate the ecosystem, including: JuliaHub — a Julia Computing service that includes search of all registered open source package documentation, code search, and navigation by tags/keywords. This syntax can be useful when two functions are related, such as non-mutating and mutating versions Macro authors should take note that only macros that generate a single expression will automatically support docstrings. Generates tables of contents and docstring indexes. In these cases, you can add a method to This guide provides a comprehensive overview of how to attach documentation to all Julia syntax constructs for which providing documentation is possible.If the alias is documented and not the real definition then the docsystem (Any number of expressions many be documented together in this way. Write all your documentation in Markdown. Cross references for docs and section headers. Introduction Scientific computing has traditionally required the highest performance, yet domain experts have largely moved to slower dynamic languages for daily work. The Julia ecosystem contains over 3000 packages which means finding the right package can be a challenge. Julia enables package developers and users to document functions, types and other objects easily via a built-in documentation system since Julia 0.4.The basic syntax is simple: any string appearing at the toplevel right before an object (function, macro, type or instance) will be interpreted as documenting it (these are called Here is a more complex example, still using Markdown:As in the example above, we recommend following some simple conventions when writing documentation:Always show the signature of a function at the top of the documentation, with a four-space indent so that it is printed as Julia code.This can be identical to the signature present in the Julia code (like Include a single one-line sentence describing what the function does or what the object represents after the simplified signature block. A documentation generator for Julia. Data visualization has a complicated history. While it's good practice for generic functions to have a single purpose, Julia allows methods to be documented individually if necessary. For large scale numerical problems, speed always has been, continues to be, and probably always will be crucial: the amount of data being processed has easily kept pace with Moore's Law over the past decades.Julia aims to create an unprecedented combination of ease-of-use, power, and efficiency in a single language. The documentation is also available in PDF format: julia-1.5.0.pdf.