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Author: Admin | 2025-04-28
To give users full control of the output without heavy coding work.Broom is a tool that converts statistical analysis objects from R into tidy format.Julia DevelopmentBack to the Top Julia Learning ResourcesJulia is a high-level, high-performance dynamic language for technical computing. Julia programs compile to efficient native code for multiple platforms via LLVM.JuliaHub contains over 4,000 Julia packages for use by the community.Julia ObserverJulia ManualJuliaLang EssentialsJulia Style GuideJulia By ExampleJuliaLang GitterDataFrames Tutorial using Jupyter NotebooksJulia AcademyJulia Meetup groupsJulia on Microsoft AzureJulia Tools, Libraries and FrameworksJuliaPro is a free and fast way to setup Julia for individual researchers, engineers, scientists, quants, traders, economists, students and others. Julia developers can build better software quicker and easier while benefiting from Julia's unparalleled high performance. It includes 2600+ open source packages or from a curated list of 250+ JuliaPro packages. Curated packages are tested, documented and supported by Julia Computing.Juno is a powerful, free IDE based on Atom for the Julia language.Debugger.jl is the Julia debuggin tool.Profile (Stdlib) is a module provides tools to help developers improve the performance of their code. When used, it takes measurements on running code, and produces output that helps you understand how much time is spent on individual line's.Revise.jl allows you to modify code and use the changes without restarting Julia. With Revise, you can be in the middle of a session and then update packages, switch git branches, and/or edit the source code in the editor of your choice; any changes will typically be incorporated into the very next command you issue from the REPL. This can save you the overhead of restarting Julia, loading packages, and waiting for code to JIT-compile.JuliaGPU is a Github organization created to unify the many packages for programming GPUs in Julia. With its high-level syntax and flexible compiler, Julia is well positioned to productively program hardware accelerators like GPUs without sacrificing performance.IJulia.jl is the Julia kernel for Jupyter.AWS.jl is a Julia interface for Amazon Web Services.CUDA.jl is a package for the main programming interface for working with NVIDIA CUDA GPUs using Julia. It features a user-friendly array abstraction, a compiler for
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