Resultado da Busca
Há 3 dias · Julia is a general-purpose programming language, while also originally designed for numerical/technical computing. It is also useful for low-level systems programming, as a specification language, high-level synthesis (HLS) tool (for hardware, e.g. FPGAs), and for web programming at both server and client side.
- 1.9.3, / 24 August 2023; 49 days ago and, 1.6.7 LTS / 19 July 2022; 14 months ago
Há 1 dia · Dynamic programming is both a mathematical optimization method and an algorithmic paradigm. The method was developed by Richard Bellman in the 1950s and has found applications in numerous fields, from aerospace engineering to economics.
Há 4 dias · Multiple dispatch or multimethods is a feature of some programming languages in which a function or method can be dynamically dispatched based on the run-time (dynamic) type or, in the more general case, some other attribute of more than one of its arguments. [1] .
Há 1 dia · Lisp (historically LISP, an abbreviation of "list processing") is a family of programming languages with a long history and a distinctive, fully parenthesized prefix notation. [3] Originally specified in the late 1950s, it is the second-oldest high-level programming language still in common use, after Fortran.
Há 1 dia · Rust is a multi-paradigm, general-purpose programming language that emphasizes performance, type safety, and concurrency. It enforces memory safety —meaning that all references point to valid memory—without a garbage collector.
17 de mai. de 2024 · C Sharp Programming at Wikibooks. C# ( / ˌsiː ˈʃɑːrp / see SHARP) [b] is a general-purpose high-level programming language supporting multiple paradigms. C# encompasses static typing, [16] : 4 strong typing, lexically scoped, imperative, declarative, functional, generic, [16] : 22 object-oriented ( class -based), and component-oriented ...
17 de mai. de 2024 · Multistage Dockerfiles offer a streamlined approach to container image creation, reducing size, enhancing security, and improving build efficiency. By segmenting the build process into distinct stages and discarding unnecessary artifacts, developers can produce leaner images that accelerate deployment and minimize attack vectors.
