Search Results for "jpk data processing"

...Network primitives in the language make it simpler to write services and run them in the cloud. Structural types with support for openness are used both for static typing within a program and for describing service interfaces. Type-safe, declarative processing of JSON, XML, and tabular data with language-integrated queries. Explicit error handling, static types, and concurrency safety, combined with a familiar, readable syntax make programs reliable and maintainable. Easy and efficient concurrency with sequence diagrams and language-managed threads without the complexity of asynchronous functions. ...

Halide is a programming language for fast, portable data-parallel computation. It was designed to make writing high-performance image and array processing code much easier on modern machines. It works on all major operating systems and with several CPU architectures (X86, ARM, MIPS, Hexagon, PowerPC) and GPU Compute APIs (CUDA, OpenCL, OpenGL, among others). It isn't a standalone programming language however; rather it is embedded in C++ which means that you write C++ code, building an in-memory representation of a Halide pipeline using Halide's C++ API. ...

...Development emphasizes robust tests (t/), meticulous changelogs, and tooling like perldoc to keep the language approachable and dependable. In practice, Perl 5 remains a workhorse for sysadmin automation, data munging, web services, and any task where flexible, expressive text handling is paramount.

The Ring is a practical general-purpose multi-paradigm language. The supported programming paradigms are imperative, procedural, object-oriented, declarative using nested structures, functional, meta programming and natural programming. The language is portable (MS-DOS, Windows, Linux, macOS, Android, WebAssembly, Microcontrollers, etc.) and can be used to create Console, GUI, Web, Games and Mobile applications. The language is designed to be simple, small and flexible. Ring is...

Pipelines is a language and runtime for crafting massively parallel pipelines. Unlike other languages for defining data flow, the Pipeline language requires the implementation of components to be defined separately in the Python scripting language. This allows the details of implementations to be separated from the structure of the pipeline while providing access to thousands of active libraries for machine learning, data analysis, and processing.

Programming language for converting source documents into HTML or XML. Writeup is a combination of a markup language (similar to markdown) and a macro pre-processing language that enables a formal production system to be set up for documents.