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Source channel @githubtrending · Post #15158 · Sep 20

#typescript#anthropic#anthropic_claude#claude#claude_4#claude_4_opus#claude_4_sonnet#claude_ai#claude_code#claude_code_sdk#cursor#ide#llm#llm_code#rust#tauri opcode is a powerful desktop app that makes working with Claude Code easier and more visual. It lets you manage projects and coding sessions with a clear interface, create custom AI agents for specific tasks, track your usage and costs, and organize servers all in one place. You can save and restore session checkpoints, view detailed logs, and edit project files with live previews. It runs securely on your computer, keeping your data private, and supports Windows, macOS, and Linux. This tool helps you be more productive and organized when coding with Claude Code by replacing complex command-line work with a user-friendly GUI. https://github.com/winfunc/opcode

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djangoproject

@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

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djangoproject

@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.