Showing 5 open source projects for "api documentation"

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  • 1
    elastic-jupyter-operator

    elastic-jupyter-operator

    Cloud-native way to provide elastic Jupyter Notebooks on Kubernetes

    Jupyter is a free, open-source, interactive web tool known as a computational notebook, which researchers can use to combine software code, computational output, explanatory text, and multimedia resources in a single document. For data scientists and machine learning engineers, Jupyter has emerged as a de facto standard. At the same time, there has been growing criticism that the way notebooks are being used leads to low resource utilization. GPU and other hardware resources will be bound to...
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  • 2
    StateOS

    StateOS

    Free real-time operating system designed for microcontrollers

    Free, extremely simple, amazingly tiny and very fast real-time operating system (RTOS) designed for deeply embedded applications. Target: ARM Cortex-M, STM8. It was inspired by the concept of a state machine. Procedure executed by the task (task state) doesn't have to be noreturn-type. It will be executed into an infinite loop. There's a dedicated function for immediate change the task state.
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  • 3
    MyBooks

    MyBooks

    A personal database of your books on various media

    This Linux application is designed to store your book titles even if on more than one media type. There are viewable lists and reports by various criteria. It is co-authored in Qt C++ Framework by Ken Standard, AD5XJ and Warren Andresen. K7CWA from an original MS Access project by Warren Andresen. Documentation can be generated by using Doxygen doxywizard.
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  • 4
    System Abstraction Component Kit
    This is a collection of libraries contained : Shared memory allocation, configuration script processor, containers (trees, lists, queues, stacks), file system abstraction, network library, timers/threads, Image library, Display libraries, and more.
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  • 5
    IHaskell

    IHaskell

    A Haskell kernel for the Jupyter project

    ...For GHC 7.10 support please use the GHC7 tag. For a tour of some IHaskell features, check out the demo Notebook. More example notebooks are available on the wiki. The wiki also has more extensive documentation of IHaskell features. IHaskell is based upon the IPython architecture and frontend, so learning about that will help. You can write your own extensions using the IPython javascript API, for instance. Use h to learn more about the modal interface IHaskell/IPython provides. IHaskell adds a few features on top of the IPython frontends, such as automatic character concealing (typing -> yields an arrow) and input cell folding (via the left and right arrow keys, or the buttons). ...
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