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Изворен канал @pythonotes · Post #193 · 23 дек.

Для тех кто пропустил релиз Qt6! PySide6 уже доступен! Для старта можно взять эти странички: https://wiki.qt.io/Qt_for_Python https://doc.qt.io/qtforpython/ https://doc.qt.io/qtforpython/tutorials/index.html Там же есть ссылка на репозиторий примеров https://code.qt.io/cgit/pyside/pyside-setup.git/tree/examples #qt

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Пребарај: #numarray

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djangoproject

@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.