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Kotlin's data class construct defines classes whose primary purpose is storing data, similar Java's record types. Like Java's record types, the construct is similar to normal classes except that the key methods equals, hashCode and toString are automatically generated from the class properties. Unlike Java's records, data classes are open for ...
FlatBuffers can be used in software written in C++, C#, C, Go, Java, JavaScript, Kotlin, Lobster, Lua, PHP, Python, Rust, Swift, and TypeScript. The schema compiler runs on Android , Microsoft Windows , macOS , and Linux , [ 3 ] but games and other programs use FlatBuffers for serialization work on many other operating systems as well ...
Data processing, business No No No No No No Array-oriented, tacit Unknown Kotlin: Application, mobile development, server-side, client-side, web Yes Yes Yes Yes Yes Yes [31] De facto standard via Kotlin Language Specification Ksh: Shell, scripting: Yes Yes No Yes No No Several variants, custom programmable, dynamic loadable modules Optionally ...
Metaprogramming is the writing of programs that write or manipulate other programs, including themselves, as their data or that do part of the work that is otherwise done at run time during compile time. In many cases, this allows programmers to get more done in the same amount of time as they would take to write all the code manually.
The Java/Kotlin object viewers [4] [5] in jGRASP provide interface-based, structural, and other views of data structures and other objects and primitives during debugging and workbench operations. For example, a content-based view shows ArrayList and LinkedList in an identical way, as a list of elements.
In software, a data access object (DAO) is a pattern that provides an abstract interface to some type of database or other persistence mechanism. By mapping application calls to the persistence layer, the DAO provides data operations without exposing database details.
Functional programming – uses evaluation of mathematical functions and avoids state and mutable data; Generic programming – uses algorithms written in terms of to-be-specified-later types that are then instantiated as needed for specific types provided as parameters; Imperative programming – explicit statements that change a program state
The functions work on many types of data, including numerical, categorical, time series, textual, and image. [7] Mojo can run some Python programs, and supports programmability of AI hardware. It aims to combine the usability of Python with the performance of low-level programming languages like C++ or Rust. [8]