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Java, Scala, Clojure, Python , Kotlin: Yes No [8] Yes [9] [10] No Computational Graph Yes [11] Yes Yes Yes Yes [12] Yes Dlib: Davis King 2002 Boost Software License: Yes Cross-platform: C++: C++, Python: Yes No Yes No Yes Yes No Yes Yes Yes Yes Flux: Mike Innes 2017 MIT license: Yes Linux, MacOS, Windows (Cross-platform) Julia: Julia: Yes No ...
This is a comparison of the features of the type systems and type checking of multiple programming languages.. Brief definitions A nominal type system means that the language decides whether types are compatible and/or equivalent based on explicit declarations and names.
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 POSIX.2 [13] LabVIEW (G) Application, industrial instrumentation-automation ...
In 2018, Kotlin was the fastest growing language on GitHub, with 2.6 times more developers compared to 2017. [53] It is the fourth most loved programming language according to the 2020 Stack Overflow Developer Survey. [54] Kotlin was also awarded the O'Reilly Open Source Software Conference Breakout Award for 2019. [55]
Windows 8/7/Vista/XP/2000 Note: Downloading and installing of Java will only work in Desktop mode on Windows 8. If you are using the Start screen, you will have to switch it to Desktop screen to run Java. Windows Server 2008/2003; Intel and 100% compatible processors are supported; Pentium 166 MHz or faster processor with at least 64 MB of ...
Deeplearning4j can be used via multiple API languages including Java, Scala, Python, Clojure and Kotlin. Its Scala API is called ScalNet. [31] Keras serves as its Python API. [32] And its Clojure wrapper is known as DL4CLJ. [33] The core languages performing the large-scale mathematical operations necessary for deep learning are C, C++ and CUDA C.
Scala runs on the Java platform (Java virtual machine) and is compatible with existing Java programs. [15] As Android applications are typically written in Java and translated from Java bytecode into Dalvik bytecode (which may be further translated to native machine code during installation) when packaged, Scala's Java compatibility makes it well-suited to Android development, the more so when ...
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