Showing 4 open source projects for "python distributed list"

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  • 1
    nbstripout

    nbstripout

    strip output from Jupyter and IPython notebooks

    Opens a notebook, strips its output, and writes the outputless version to the original file. Useful mainly as a git filter or pre-commit hook for users who don't want to track output in VCS. This does mostly the same thing as the Clear All Output command in the notebook UI. You can download and install the latest version of nbstripout from PyPI, the Python package index. Strip output from IPython / Jupyter / Zeppelin notebook (modifies the file in-place). Usually, nbstripout is installed per...
    Downloads: 5 This Week
    Last Update:
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  • 2
    PyGitHub

    PyGitHub

    Typed interactions with the GitHub API v3

    PyGitHub is a Python library to access the GitHub REST API. This library enables you to manage GitHub resources such as repositories, user profiles, and organizations in your Python applications. PyGithub is a Python library to use the Github API v3. With it, you can manage your Github resources (repositories, user profiles, organizations, etc.) from Python scripts. Should you have any question, any remark, or if you find a bug, or if there is something you can do with the API...
    Downloads: 2 This Week
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  • 3
    git-notify

    git-notify

    Communicate important updates to your team via git commit messages

    Communicate important updates to your team via git commit messages. Sometimes you need to communicate changes to other developers on your project. In a small team, a Slack message works okay, but in larger teams and distributed organizations (such as open-source projects), reaching everyone can be a pain. git-notify allows you to embed announcements into your git commit messages. And display them to another developer on a machine, far far away. Just add "git-notify:" to your git commit message...
    Downloads: 0 This Week
    Last Update:
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  • 4
    Albedo

    Albedo

    A recommender system for discovering GitHub repos

    Albedo is an open-source recommender system aimed at helping developers discover GitHub repositories by learning from activity signals. It treats repositories and developers as a graph of interactions and applies large-scale matrix factorization to model affinities, with Apache Spark providing the distributed data processing. The project focuses on implicit feedback—stars, watches, and other engagement metrics—so it can build useful recommendations without explicit ratings. A reproducible setup...
    Downloads: 0 This Week
    Last Update:
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