arxiv.org/abs/cs/0609143v1
Event-driven reactive functionalities are an urgent need in nowadays distributed service-oriented applications and (Semantic) Web-based environments. An important problem to be addressed is how to correctly and efficiently capture and process the e...
github.com/acquitelol/elle
A procedural programming language built in Rust which compiles to QBE (⭐ 106)
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Jan 18, 2015 · However, I have reinstalled McAfee AntirVirus, which is my usual security program, after the bulk of the updates had been installed since it had not proved to be an obstacle to updating …
github.com/dlang/tools
Ancillary tools for the D programming language compiler (⭐ 206)
github.com/svaksha/Julia.jl
Curated decibans of Julia programming language. (⭐ 1506)
arxiv.org/abs/1808.03370v1
Technical computing is a challenging application area for programming languages to address. This is evinced by the unusually large number of specialized languages in the area (e.g. MATLAB, R), and the complexity of common software stacks, often invol...
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The Julia programming language fills this role: it is a flexible dynamic language, appropriate for scientific and numerical computing, with performance comparable to traditional statically-typed languages.
github.com/JuliaGPU/CUDA.jl
CUDA programming in Julia. (⭐ 1385)
arxiv.org/abs/2012.12696v3
NetworkDynamics.jl is an easy-to-use and computationally efficient package for working with heterogeneous dynamical systems on complex networks, written in Julia, a high-level, high-performance, dynamic programming language. By combining state of the...
github.com/juanklopper/JuliaCourseNotebooks
Jupyter notebooks for the Julia Scientific Programming course on Coursera (⭐ 237)
arxiv.org/abs/2109.01950v2
As a scientific programming language, Julia strives for performance but also provides high-level productivity features. To avoid performance pathologies, Julia users are expected to adhere to a coding discipline that enables so-called type stability....
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Oct 30, 2022 · A comprehensive introductory tutorial that will help you master the fundamentals of Julia. Learn about operators, conditional statements, working with DataFrames, and more.
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Sep 27, 2024 · Julia is an open-source project known for its high performance and ability to generate highly efficient code at speeds approaching those of languages like C and Fortran. A dynamic …
github.com/TheAlgorithms/Julia
Algorithms implemented in the Julia programming language. We're collaborating with the Humans of Julia community! (⭐ 502)
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Julia is a high-level, high-performance dynamic language for technical computing. The main homepage for Julia can be found at julialang.org. This is the GitHub repository of Julia source code, including …
arxiv.org/abs/2010.07516v2
Dynamic programming languages face semantic and performance challenges in the presence of features, such as eval, that can inject new code into a running program. The Julia programming language introduces the novel concept of world age to insulate op...
github.com/JuliaLang/julia
The Julia Programming Language (⭐ 48551)
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4 days ago · Julia was designed for high performance. Julia programs automatically compile to efficient native code via LLVM, and support multiple platforms. Julia is dynamically typed, feels like a scripting …
en.wikipedia.org/wiki/Accelerated_approval_%28FDA%29
The United States Food and Drug Administration (FDA) initiated the FDA Accelerated Approval Program in 1992 to allow faster approval of drugs for serious
www.reddit.com/r/HistoryUncovered/comments/1nhq4wq/in_1971_community_and_civil_rights_activist_ann/
Ann Atwater was born to sharecroppers in 1935, survived extreme poverty, and raised two daughters alone in Durham, North Carolina. After joining a community organizing program, she became a powerful h...