Showing 4 open source projects for "workshops"

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  • 1
    Ansible Automation Platform Workshops

    Ansible Automation Platform Workshops

    Training course for Ansible automation platform

    The Red Hat Ansible Automation Workshops project is intended for effectively demonstrating Ansible's capabilities through instructor-led workshops or self-paced exercises. These interactive learning scenarios provide you with a pre-configured Ansible Automation Platform environment to experiment, learn, and see how the platform can help you solve real-world problems.
    Downloads: 1 This Week
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  • 2
    Python Mastery (Course)

    Python Mastery (Course)

    Advanced Python Mastery

    python-mastery is a collection of course materials created by David Beazley for teaching advanced Python programming concepts. It emphasizes deep understanding through real-world coding exercises and topics like generators, decorators, closures, and metaclasses. The repository is designed for learners who already know the basics of Python and want to push their skills to an expert level.
    Downloads: 2 This Week
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  • 3
    workshops_project

    workshops_project

    Workshops is an open source, simple, dead-lightweight LMS

    Workshops is an open source, simple, dead-lightweight LMS (Learning Management System) application programmed in Python (version 3.8.x) with Django (version 2.2.x) web framework which main purpose is to make a standarized way to share knowledge via courses in a slide-based view in browser powered by remark javascript library, easy to create, edit, delete and show your courses using simple markdown and html if necessary.
    Downloads: 0 This Week
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  • 4
    Scikit-learn Tutorial

    Scikit-learn Tutorial

    An introductory tutorial for scikit-learn

    Scikit-learn Tutorial contains the materials for Jake VanderPlas’s introductory scikit-learn tutorial, originally used at major Python conferences. It provides a collection of notebooks that walk attendees from basic machine-learning concepts into practical modeling using the scikit-learn library. The tutorial covers data preparation, model fitting, evaluation, and common algorithms such as classification, regression, clustering, and dimensionality reduction. It is designed for people who...
    Downloads: 0 This Week
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