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Source channel @githubtrending · Post #14915 · Jul 5
#other#awesome_list#brasil#ciencia_da_computacao#computer_science#curriculo#cursos#hacktoberfest The MIT License is a simple and permissive software license that lets you freely use, copy, modify, merge, publish, distribute, sublicense, and sell software, as long as you include the original copyright notice and license text in all copies. It does not require you to share your changes or make your code open source. The software is provided "as is," without any warranty, so the authors are not responsible for any problems. This license gives you great freedom and flexibility to use software for any purpose, including commercial, with minimal legal restrictions[1][3][5]. This benefits you by allowing easy and safe use and sharing of software without complex legal barriers. https://github.com/Universidade-Livre/ciencia-da-computacao
Search: #array
@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.