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Source channel @githubtrending · Post #14673 · May 5
#go#ai#assistant#cli#kubernetes **kubectl-ai** is a tool that helps manage Kubernetes using AI. It lets you ask questions or give commands in simple language, and it will execute the right Kubernetes actions for you. This makes it easier to manage your Kubernetes cluster without needing to remember complex commands. You can use it to check app status, create deployments, or troubleshoot issues, all by just typing what you want to do. It supports various AI models and can be used interactively or with other Unix commands, making it a powerful assistant for Kubernetes users. https://github.com/GoogleCloudPlatform/kubectl-ai
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@djangoproject · Post #98 · 07/11/2016, 12:22 PM
https://docs.python.org/3/library/asyncio.html #asyncio #Asynchronous programming is more complex than classical “#sequential” programming: see the Develop with asyncio page which lists common traps and explains how to avoid them. Enable the debug mode during development to detect common issues.
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@djangoproject · Post #153 · 09/03/2016, 08:20 PM
http://wla.berkeley.edu/~cs61a/fa11/lectures/streams.html In this chapter, we continue our discussion of real-world applications by developing new tools to process #sequential#data. In Chapter 2, we introduced a sequence interface, implemented in Python by built-in data types such as #tuple and #list. #Sequences supported two operations: querying their length and accessing an element by index. In Chapter 3, we developed a user-defined implementations of the sequence interface, the Rlist class for representing recursive lists. These sequence types proved effective for representing and accessing a wide variety of sequential #datasets.