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Source channel @githubtrending · Post #15594 · Mar 31

#shell Skills Public offers 16 reusable tools for Apple devs, like creating App Store notes from git, debugging iOS apps, fixing SwiftUI/React performance, running bug hunts, code reviews, and refactoring. Place skill folders in `$CODEX_HOME/skills` and check each `SKILL.md` for use. This saves you time on repeat tasks, boosts code quality, speeds debugging, and helps build better apps faster. https://github.com/Dimillian/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.