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Source channel @githubtrending · Post #15581 · Mar 23

#other#claude#clawdbot#cli#codex#defuddle#obsidian#openclaw#opencode#skills Obsidian Skills let AI agents like Claude Code or Codex create and edit Obsidian Markdown with wikilinks and callouts, Bases files with views and formulas, JSON Canvas diagrams, interact via Obsidian CLI, and clean web pages with Defuddle. Install easily via marketplace, npx, or manual copy to your vault folder—they work with any compatible agent. This saves you time by letting AI handle note editing, vault tasks, and content cleanup directly, boosting your productivity without manual work. https://github.com/kepano/obsidian-skills

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djangoproject

@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'.

djangoproject

@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.