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Source channel @githubtrending · Post #14794 · Jun 5
#ruby The Model Context Protocol (MCP) is a way to connect AI systems with other tools and data sources securely. It helps developers build AI applications that can interact with external systems more easily. MCP uses a client-server model, allowing AI models to dynamically find and use tools without needing specific code for each integration. This makes it easier to develop and integrate AI applications, reducing the complexity and time needed for setup. Users benefit from more flexible and powerful AI tools that can work with various systems seamlessly. https://github.com/modelcontextprotocol/ruby-sdk
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@djangoproject · Post #574 · 02/25/2018, 02:34 PM
http://www.paulbrownmagic.com/blog/python_partial_application Python Partial: Code Your Intention Of all the functional programming inspired features in Python, partial application must be the best kept secret that you really need to know. Partial application lets you create highly abstract functions and make them more specific for use, pass a function arguments without calling it yet, and so much more. #tuple#sort
@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.