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Canal fuente @chollosdevuelos · Post #708 · 21 ago
💥La francesa de Marsella💥 ✈️Desde Madrid 35€: 4 al 9 oct ✈️Desde Valencia 29€: 3 al 7 oct ✈️Desde Malaga 46€: 2 al 6 oct ✈️Desde Alicante 38€: 2 al 7 oct ✈️Desde Sevilla 57€: 24 al 28 oct ✈️Desde Barcelona 55€: 11 al 16 oct Vuelos con salida desde #Madrid, #Valencia, #Malaga, #Alicante, #Sevilla y #Barcelona Más en:https://t.me/chollosdevuelos✅ El que no corre 🏃 vuela 🛫
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@djangoproject · Post #316 · 28/04/2017, 06:09
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 · 31/08/2016, 15:36
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.