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Изворен канал @pythonotes · Post #160 · 7 окт.
А вы ждёте Qt6 как жду его я? ))) Наверняка, те кто ждёт, уже в курсе, но я уточню даты релизов. - Qt 6.0 Feature freeze - 31.8.2020 - Qt 6.0 Alpha - 2.10.2020 - Qt 6.0 Beta 1 - 15.10.2020 - Qt 6.0.0 RC - 17.11.2020 - Qt 6.0.0 Final - 1.12.2020 Полный список https://wiki.qt.io/Qt_6.0_Release Между тем, библиотеки PySide3 ждать не стоит. Дело в том, что разработчики решили синхронизировать версии библиотек C++ и Qt for Python. Так что ждём сразу PySide6! #qt
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Пребарај: #array
@djangoproject · Post #316 · 28.04.2017 г., 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 г., 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.