![]() Pkg.add(pkg::Union can be called with a more concise notation with NamedTuples. This is done by creating an instance of PackageSpec which is passed in to functions. specify URLs or version range, require the use of a more structured format over strings. In the Pkg REPL mode, packages (with associated version, UUID, URL etc) are parsed from strings, for example "Package#master", "In the functional API, it is possible to use strings as arguments for simple commands (like Pkg.add(), but more complicated commands, which e.g. For example, Pkg.add("Example" io=devnull) will discard any output produced by the add call. Use the io::IOBuffer keyword argument to redirect Pkg output. You can specify these options by setting keyword arguments. The DataFrames. General API ReferenceĬertain options are generally useful and can be specified in any API call. The benchmarks below present the initial performance assessment of the DTable compared to DataFrames.jl, which is currently the go-to data processing package in Julia, and to Dask - the main competitor to Dagger and the DTable. You can switch between them based on your requirements. We now have R, Python, and Julia environments. For VSCode, create a new Jupyter Notebook file and change the Kernel from Python to Julia by clicking on the Kernel name as shown below. ![]() ![]() It is recommended to use the functional API, rather than the Pkg REPL mode, for non-interactive usage, for example in scripts. Launch the Jupyter notebook, click on the New button and select the Julia environment. Also supports browsing package developers. Julia Packages browse Julia packages, filter by categories, and sort them by popularity, creation date or date of last update. This section describes the functional API for interacting with Pkg.jl. JuliaHub a JuliaHub service that includes search of all registered open source package documentation, code search, and navigation by tags/keywords. ![]()
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