Generalized Linear Modeling with H2O Tomas Nykodym Tom Kraljevic Amy Wang Wendy Wong Tomas Fryda Edited by: Angela Bartz Hannah Tillman http://h2o.ai/resources/ March 2025: Seventh Edition Generali...

Use the REST API to interact with GitHub Packages.

Use the REST API to retrieve events triggered by activity in issues and pull requests.

Specifics of npm's package.json handling

Docs » Data Manipulation Data Manipulation H2OFrame class h2o. H2OFrame ( python_obj=None , destination_frame=None , ...

FastAPI framework, high performance, easy to learn, fast to code, ready for production

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Kubernetes ships with a default scheduler that is described here. If the default scheduler does not suit your needs you can implement your own scheduler. Moreover, you can even run multiple schedulers simultaneously alongside the default scheduler and instruct Kubernetes what scheduler to use for each of your pods. Let's learn how to run multiple schedulers in Kubernetes with an example. A detailed description of how to implement a scheduler is outside the scope of this document.

The Kubernetes API is a resource-based (RESTful) programmatic interface provided via HTTP. It supports retrieving, creating, updating, and deleting primary resources via the standard HTTP verbs (POST, PUT, PATCH, DELETE, GET). For some resources, the API includes additional subresources that allow fine-grained authorization (such as separate views for Pod details and log retrievals), and can accept and serve those resources in different representations for convenience or efficiency. Kubernetes supports efficient change notifications on resources via watches: in the Kubernetes API, watch is a verb that is used to track changes to an object in Kubernetes as a stream.