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Source channel @githubtrending · Post #15457 · Jan 31
#shell#claude_code#mcp#skills Claude Code Plugins Directory offers high-quality plugins to extend Claude Code with custom commands, agents, skills, and hooks. Install easily via `/plugin install {plugin-name}@claude-plugin-directory` or browse in `/plugin > Discover`. Internal ones from Anthropic are in `/plugins`; external from partners in `/external_plugins`. Each has a standard structure with `plugin.json` metadata. This helps you customize workflows, automate tasks, and boost coding productivity across projects. https://github.com/anthropics/claude-plugins-official
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@djangoproject · Post #316 · 04/28/2017, 06:09 AM
https://github.com/blissnd/easyxls Convert any #spreadsheet into a Python internal #dict/#array data structure, for easy processing. Can also handle pivot tables. For pivot table usage, header_row_start & header_col_start need to be set equal to the top left corner of the pivot table => header_row_start=8, header_col_start='c' in the included example. Column IDs must always be lowercase chars in quotes, e.g. 'a'.
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@djangoproject · Post #129 · 08/31/2016, 03:36 PM
https://pypi.python.org/pypi/numpy #NumPy is a general-purpose #array-processing package designed to efficiently manipulate large #multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional #arrays. NumPy is built on the #Numeric code base and adds features introduced by #numarray as well as an extended #C-API and the ability to create arrays of arbitrary type which also makes NumPy suitable for interfacing with general-purpose #data-base applications.