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Jython includes almost all of the modules in the standard Python programming language distribution, lacking only some of the modules implemented originally in C. For example, a user interface in Jython could be written with Swing, AWT or SWT. Jython compiles Python source code to Java bytecode (an intermediate language) either on demand or ...
eXeLearning is a free / libre software tool under GPL-2 that can be used to create educational interactive web content. [3] eXeLearning can generate interactive contents in XHTML or HTML5 format. It allows you to create easily navigable web pages including text, images, interactive activities, image galleries or multimedia clips.
Sakai is a free, community-driven, open source educational software platform designed to support teaching, research and collaboration. Systems of this type are also known as learning management systems (LMS), course management systems (CMS), or virtual learning environments (VLE).
The "Projucer" is an IDE tool for creating and managing JUCE projects. When the files and settings for a JUCE project have been specified, the Projucer automatically generates a collection of 3rd-party project files to allow the project to be compiled natively on each target platform.
PyCharm is an integrated development environment (IDE) used for programming in Python.It provides code analysis, a graphical debugger, an integrated unit tester, integration with version control systems, and supports web development with Django.
Elicitus software is a desktop authoring tool. An authoring tool is used by trainers, educators and subject matter experts for creating elearning courses. [1] Elicitus has been designed and developed by Harbinger Knowledge Products and was first launched in 2005. [2]
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.
JAX is a machine learning framework for transforming numerical functions. [2] [3] [4] It is described as bringing together a modified version of autograd (automatic obtaining of the gradient function through differentiation of a function) and OpenXLA's XLA (Accelerated Linear Algebra).