Dataspråk

Dataspråk is a term used in Swedish to refer to programming languages, with emphasis on those used to handle and analyze data. It is not the name of a single language, but a category that covers languages used to instruct computers to process information, implement algorithms, and build software systems.

Languages in this category vary in paradigm and level. They include general-purpose languages such as Python, Java, and C++, which can be used for data-driven applications; and data-oriented or domain-specific languages such as SQL for querying databases, and R and MATLAB for statistics and numerical computation. Many languages support data libraries and ecosystems that enable data manipulation, visualization, and machine learning.

Common characteristics of dataspråk include support for structured data, libraries for data handling, and tools for debugging, testing, and deployment. They can be interpreted or compiled, statically or dynamically typed, and they may support multiple paradigms, including imperative, object-oriented, and functional styles.

In education and professional contexts, dataspråk is often introduced as part of curricula to teach problem solving, data literacy, and software development. The term emphasizes the role of language choice in data processing and analysis, rather than referring to a single canonical language.