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Source channel @githubtrending · Post #15256 · Nov 1

#other GitHub Copilot CLI lets you use AI coding help right in your terminal, so you can build, edit, debug, and understand code by just talking to it naturally. It works with your GitHub account to access your repos, issues, and pull requests without leaving the command line. You stay in full control by approving every action before it runs. It supports Linux, macOS, and Windows, and you install it easily with npm. This tool speeds up coding by bringing AI assistance directly where you work, reducing context switching and making development faster and smoother. https://github.com/github/copilot-cli

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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.